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zenodo52/100

EISCAT Svalbard radar Common Program data from February 26 to February 28 2023, which is processed by GUISDAP

<p>This is two-dimensional (time and altitude) ionospheric parameter data that contains electron density, electron temperature and ion temperature. It is estimated based on EISCAT Svalbard radar measurement implemeted as common program from February 26 to Feburuary 28, 2023 (https://portal.eiscat.se/) and processed by a software for incoherent scatter radar analysis, GUISDAP (https://gitlab.com/eiscat/guisdap9). The more detailed descriptions can be found as metadata in the uploaded netCDF file.</p>

opencc-by-4.0Aug 2024View details →
zenodo52/100

A vertically-resolved atmospheric dust reanalysis for Mars Years 28-29 using Analysis Correction

<p>This is a dataset of meteorological variables for the atmosphere of Mars, obtained by assimilating measurements (retrievals) of atmospheric temperature and dust opacity into a 3-dimensional, time-dependent numerical model of the Martian atmospheric circulation (known as a &ldquo;reanalysis&rdquo;).</p> <p>The observations come from two spacecraft - the Mars Climate Sounder (MCS) instrument on board NASA&rsquo;s Mars Reconnaissance Orbiter (e.g. Kleinboehl et al. 2009) and the Thermal Emission Imaging Spectrometer (THEMIS) on board NASA&rsquo;s Mars Odyssey spacecraft, and cover the period from 21 September 2006 until&nbsp; 5 November 2009 (Mars Years 28:Ls=109.98 - 30:Ls=4.78). MCS observations include profiles of temperature and dust opacity from near the surface up to altitudes of around 80 km obtained from infrared limb-sounding (MCS version 3 retrievals, based on opacities at around 21.6 micron wavelengths), while THEMIS measurements are of column dust opacity in the infrared (centred around 9.3 micron wavelength). Further details can be found on the websites</p> <p>https://pds-geosciences.wustl.edu/missions/odyssey/themis.html,<br> https://atmos.nmsu.edu/data and services/atmospheres data/MARS/aerosols.html</p> <p>The model into which the observations are assimilated is the UK version of Laboratoire de M&eacute;t&eacute;orologie Dynamique Mars Global Circulation Model (LMDMGCM), a 3-dimensional, time-dependent numerical circulation model of the Martian atmosphere and near-surface environment, simulating the changing winds, temperature, pressure and dust content of the atmosphere across the whole planet. The model solves the equations of motion, mass and energy conservation using a spherical harmonic representation in the horizontal and finite difference formulation in the vertical direction, but outputs the data here on a regular longitude-latitude grid with 72 points in longitude, 36 points in latitude and 25 terrain-following sigma levels in the vertical direction (where sigma = pressure/surface pressure) on a stretched vertical grid that extends from the surface to an altitude of approximately 100 km. More details can be found in publications by Forget et al. (1999), Newman et al. (2001), Mulholland et al. (2013).</p> <p>The observations and model are linked by an assimilation scheme, based on the Analysis Correction (AC) algorithm developed by Lorenc et al. (1991) and adapted for Mars by Lewis et al. (2007). Previous reanalyses of Mars observations using this scheme include the MACDA dataset (Montabone et al. 2014) and OPENMars (Holmes et al. 2020). This new dataset, however, makes use of an extension of the AC scheme to enable assimilation of both column integrated dust opacity measurements and dust opacity profiles in the vertical direction (see Ruan et al. 2021). This new dataset therefore provides a more realistic representation of the distribution of dust loading in the Martian atmosphere than previous work, which may also result in improved representation of other meteorological variables, notably temperature.</p> <p>Data are provided as 2D and 3D fields of variables in netCDF format as generated by the numerical model on the (longitude, latitude, sigma) grid at 2-hourly intervals. Each file contains 360 time steps covering 30 Martian days or sols. The variables contained in each file are as follows:</p> <p>&nbsp;Variables and attributes<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; lon:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72) = FLOAT(lon)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; long_name: longitude<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: degrees_east<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; lat:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(36) = FLOAT(lat)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; long_name: latitude<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: degrees_north<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2&nbsp; sigma:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(25) = FLOAT(sigma)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; long_name: sigma<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: sigma_level = p/ps<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 3&nbsp; soil:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(18) = FLOAT(soil)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; long_name: soil levels (i.e. levels below the surface to represent thermal variations)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: none<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 4&nbsp; time:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(360) = FLOAT(time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; long_name: model time<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: days since 00:00:00 (the beginning of the file)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 5&nbsp; controle:&nbsp;&nbsp;&nbsp; FLOAT(100) = FLOAT(lentable)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; long_name: Table of run parameters<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; description:&nbsp; MGCM run&nbsp;&nbsp;&nbsp; 5.000<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 6&nbsp; Ls:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(360) = FLOAT(time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Solar longitude (such that Ls=0 is northern Spring equinox)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: deg<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 7&nbsp; tsurf:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Surface temperature<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: K<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8&nbsp; ps:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: surface pressure<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: Pa<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 9&nbsp; co2ice:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: co2 ice thickness (column mass density)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: kg.m-2<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 10&nbsp; fluxsurf_lw: FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: fluxsurf_lw (surface infrared radiative flux)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: W.m-2<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 11&nbsp; fluxsurf_sw: FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: fluxsurf_sw (surface visible radiative flux)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: W.m-2<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 12&nbsp; temp:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,25,360) = FLOAT(lon,lat,sigma,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: temperature<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: K<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 13&nbsp; u:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,25,360) = FLOAT(lon,lat,sigma,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Zonal (east-west) wind<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: m.s-1<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 14&nbsp; v:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,25,360) = FLOAT(lon,lat,sigma,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Meridional (north-south) wind<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: m.s-1<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 15&nbsp; rho:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,25,360) = FLOAT(lon,lat,sigma,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: density<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: kg.m-3<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 16&nbsp; udrag:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Drag velocity<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: m/s<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 17&nbsp; udragt:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Threshold velocity for dust lifting<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: m/s<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 18&nbsp; aerosol:&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,25,360) = FLOAT(lon,lat,sigma,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: dust opacity considering layer thickness<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: SI (opacity/m)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 19&nbsp; taudustvis:&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: Dust optical depth<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: SI<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 20&nbsp; q01:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; FLOAT(72,36,25,360) = FLOAT(lon,lat,sigma,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: mix. ratio<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: kg/kg<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 21&nbsp; dqsdevtot:&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: dust devil lift rate<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: kg.m-2.s-1<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 22&nbsp; dqsstrtot:&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: near surface wind stress dust lifting rate<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: kg.m-2.s-1<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 23&nbsp; dqssedtot:&nbsp;&nbsp; FLOAT(72,36,360) = FLOAT(lon,lat,time)<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 0&nbsp; Physics_diagnostic: dust sedimentation rate<br> &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 1&nbsp; units: kg.m-2.s-1</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2021View details →
zenodo48/100

carafe_leg_laying_28

This is the process of making a carafe Bontemps. The step depicted is called "carafe_leg_laying"(from the Mingei project).

opencc-by-sa-4.0Jul 2022View details →
zenodo48/100

From_Blowpipe_to_Punty_28

This is the process of making a carafe Bontemps. The step depicted is called "From Blowpipe to Punty"(from the Mingei project).

opencc-by-sa-4.0Jul 2022View details →
zenodo48/100

beak_finishing_28

This is the process of making a carafe Bontemps. The step depicted is called "beak_finishing"(from the Mingei project).

opencc-by-sa-4.0Aug 2022View details →
zenodo44/100

Hassan #2 Route binaural recording in Duwiqa, Cairo (Egypt), 28-09-2012

<p>&laquo;&nbsp;Mics in the Ears&nbsp;&raquo; binaural experiment in Cairo (Egypt): Vincent Battesti &amp; Nicolas Puig, social anthropologists, asked inhabitants of Cairo megapolis in Egypt to record the surrounding urban sounds during one of their daily journeys (without the researcher), equipped with binaural microphones and GPS device. Participants have recorded in different Cairo neighbourhoods, and are themselves from different generations, social and economic backgrounds, and different genders.</p> <p>The two sound files are one the raw sound recorded by one of them during this walk in a neighbourhood in Cairo (see name of the inhabitant and date and place of recording in the file name), and the other the description and comments he or she gave us a posteriori when listening to this previous raw sound he or she recorded. See&nbsp;<a href="https://vbat.org/article831">https://vbat.org/article831</a></p>

opencc-by-4.0Jul 2020View details →
zenodo44/100

Samir binaural recording in Bashtil, Cairo (Egypt), 28-09-2012

<p>&laquo;&nbsp;Mics in the Ears&nbsp;&raquo; binaural experiment in Cairo (Egypt): Vincent Battesti &amp; Nicolas Puig, social anthropologists, asked inhabitants of Cairo megapolis in Egypt to record the surrounding urban sounds during one of their daily journeys (without the researcher), equipped with binaural microphones and GPS device. Participants have recorded in different Cairo neighbourhoods, and are themselves from different generations, social and economic backgrounds, and different genders.</p> <p>The two sound files are one the raw sound recorded by one of them during this walk in a neighbourhood in Cairo (see name of the inhabitant and date and place of recording in the file name), and the other the description and comments he or she gave us a posteriori when listening to this previous raw sound he or she recorded. See&nbsp;<a href="https://vbat.org/article831">https://vbat.org/article831</a></p>

opencc-by-4.0Jul 2020View details →
zenodo44/100

Dense inner C-S-H of 28 d hydrated alite, prepared using BIB at 20 °C

<p>These are images of 28 days hydtrated alite (M3 polymorph, Vustah, Czech Republic). The preparation of the specimens will be described in the corresponding Paper &quot;<em>Argon Broad Ion beam sectioning and high resolution scanning electron microscopy imaging of hydrated alite</em>&quot; published in Cement and Concrete Research.</p> <p>This dataset shows SEM images of the specimens prepared at <strong>20 &deg;C</strong> in a tripple Argon Broad Ion Beam device.</p> <p>For all images described in the supplementary data of the paper, thee corresponding pore segmentation and ignored area is provided as well. This excludes the file &quot;C3S 28d BIB 6KV 6h_019.tif&quot;.</p> <p>All files were acquired usng a Nova Nano SEM 230, FEI in SE mode at 2 KV and nearly the same magnification.</p>

opencc-by-4.0Jun 2021View details →
zenodo44/100

Dense inner C-S-H of 28 d hydrated alite, prepared using BIB at -140 °C

<p>These are images of 28 days hydtrated alite (M3 polymorph, Vustah, Czech Republic). The preparation of the specimens will be described in the corresponding Paper &quot;<em>Argon Broad Ion beam sectioning and high resolution scanning electron microscopy imaging of hydrated alite</em>&quot; published in Cement and Concrete Research.</p> <p>This dataset shows SEM images of the specimens prepared at <strong>-140 &deg;C</strong> in a tripple Argon Broad Ion Beam device.</p> <p>For all images described in the supplementary data of the paper, thee corresponding pore segmentation and ignored area is provided as well. This excludes the file &quot;C3S 28d cryo BIB 6h_015.tif&quot;.</p> <p>All files were acquired usng a Nova Nano SEM 230, FEI in SE mode at 2 KV and nearly the same magnification.</p> <p>&nbsp;</p>

opencc-by-4.0Jun 2021View details →
zenodo44/100

[MedMNIST+] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification with Multiple Size Options: 28 (MNIST-Like), 64, 128, and 224

<h2><strong>Code</strong>&nbsp;[<a href="https://github.com/MedMNIST/MedMNIST" target="_blank" rel="noopener">GitHub</a>]&nbsp;| <strong>Publication</strong>&nbsp;[<a href="https://doi.org/10.1038/s41597-022-01721-8" target="_blank" rel="noopener">Nature Scientific Data'23</a>&nbsp;/&nbsp;<a href="https://doi.org/10.1109/ISBI48211.2021.9434062" target="_blank" rel="noopener">ISBI'21</a>]&nbsp;| <strong>Preprint</strong>&nbsp;[<a href="https://arxiv.org/abs/2110.14795" target="_blank" rel="noopener">arXiv</a>]</h2> <p>&nbsp;</p> <p><strong>Abstract</strong></p> <p>We introduce MedMNIST, a large-scale MNIST-like collection of standardized biomedical images, including 12 datasets for 2D and 6 datasets for 3D. All images are pre-processed into 28x28 (2D) or 28x28x28 (3D) with the corresponding classification labels, so that no background knowledge is required for users. Covering primary data modalities in biomedical images, MedMNIST is designed to perform classification on lightweight 2D and 3D images with various data scales (from 100 to 100,000) and diverse tasks (binary/multi-class, ordinal regression and multi-label). The resulting dataset, consisting of approximately 708K 2D images and 10K 3D images in total, could support numerous research and educational purposes in biomedical image analysis, computer vision and machine learning. We benchmark several baseline methods on MedMNIST, including 2D / 3D neural networks and open-source / commercial AutoML tools. The data and code are publicly available at&nbsp;<a href="https://medmnist.com/">https://medmnist.com/</a>.</p> <p><em><strong>Disclaimer</strong></em>: The only official distribution link for the MedMNIST dataset is&nbsp;<a href="https://doi.org/10.5281/zenodo.10519652">Zenodo</a>. We kindly request users to refer to this original dataset link for accurate and up-to-date data.</p> <p><strong><em>Update</em>:</strong> We are thrilled to release&nbsp;<a href="https://github.com/MedMNIST/MedMNIST/blob/main/on_medmnist_plus.md">MedMNIST+</a> with larger sizes: 64x64, 128x128, and 224x224 for 2D, and 64x64x64 for 3D. As a complement to the previous 28-size MedMNIST, the large-size version could serve as a standardized benchmark for medical foundation models. Install the latest API to try it out!</p> <p>&nbsp;</p> <p><strong>Python Usage</strong></p> <p>We recommend our official <a href="https://github.com/MedMNIST/MedMNIST">code</a> to download, parse and use&nbsp;the MedMNIST dataset:</p> <blockquote> <pre>% pip install medmnist<br>% python</pre> <div> <div>To use the standard 28-size (MNIST-like) version utilizing the downloaded files:</div> <br> <div>&gt;&gt;&gt; from medmnist import PathMNIST</div> <div>&gt;&gt;&gt; train_dataset = PathMNIST(split="train")</div> <br> <div>To enable automatic downloading by setting `download=True`:</div> <br> <div>&gt;&gt;&gt; from medmnist import NoduleMNIST3D</div> <div>&gt;&gt;&gt; val_dataset = NoduleMNIST3D(split="val", download=True)</div> <br> <div>Alternatively, you can access MedMNIST+ with larger image sizes by specifying the `size` parameter:</div> <br> <div>&gt;&gt;&gt; from medmnist import ChestMNIST</div> <div>&gt;&gt;&gt; test_dataset = ChestMNIST(split="test", download=True, size=224)</div> </div> </blockquote> <p>&nbsp;</p> <p><strong>Citation</strong></p> <p>If you find this project useful, please cite both v1 and v2 paper as:</p> <blockquote> <p>Jiancheng Yang, Rui Shi, Donglai Wei, Zequan Liu, Lin Zhao, Bilian Ke, Hanspeter Pfister, Bingbing Ni. Yang, Jiancheng, et al. "MedMNIST v2-A large-scale lightweight benchmark for 2D and 3D biomedical image classification." Scientific Data, 2023.</p> <p>Jiancheng Yang, Rui Shi, Bingbing Ni. "MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis". IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021.</p> </blockquote> <p>or using bibtex:</p> <blockquote> <pre>@article{medmnistv2, title={MedMNIST v2-A large-scale lightweight benchmark for 2D and 3D biomedical image classification}, author={Yang, Jiancheng and Shi, Rui and Wei, Donglai and Liu, Zequan and Zhao, Lin and Ke, Bilian and Pfister, Hanspeter and Ni, Bingbing}, journal={Scientific Data}, volume={10}, number={1}, pages={41}, year={2023}, publisher={Nature Publishing Group UK London} } @inproceedings{medmnistv1, title={MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis}, author={Yang, Jiancheng and Shi, Rui and Ni, Bingbing}, booktitle={IEEE 18th International Symposium on Biomedical Imaging (ISBI)}, pages={191--195}, year={2021} }</pre> </blockquote> <p>Please also cite the corresponding paper(s) of source data if you use any subset of MedMNIST&nbsp;as per the description on the&nbsp;<a href="https://medmnist.github.io/">project website</a>.</p> <p>&nbsp;</p> <p><strong>License</strong></p> <p>The MedMNIST dataset is licensed under&nbsp;<em>Creative Commons Attribution 4.0 International</em>&nbsp;(<a href="https://creativecommons.org/licenses/by/4.0/">CC BY 4.0</a>), except DermaMNIST under&nbsp;<em>Creative Commons Attribution-NonCommercial 4.0 International</em>&nbsp;(<a href="https://creativecommons.org/licenses/by-nc/4.0/">CC BY-NC 4.0</a>).</p> <p>The code is under&nbsp;<a href="https://github.com/MedMNIST/MedMNIST/blob/main/LICENSE">Apache-2.0 License</a>.</p> <p>&nbsp;</p> <p><strong>Changelog</strong></p> <p><a href="https://doi.org/10.5281/zenodo.10519652">v3.0</a> (this repository): Released MedMNIST+ featuring larger sizes: 64x64, 128x128, and 224x224 for 2D, and 64x64x64 for 3D.</p> <p><a href="https://doi.org/10.5281/zenodo.10519195">v2.2</a>: Removed a small number of mistakenly included blank samples in OrganAMNIST, OrganCMNIST, OrganSMNIST, OrganMNIST3D, and VesselMNIST3D.&nbsp;</p> <p><a href="https://doi.org/10.5281/zenodo.6496656">v2.1</a>: Addressed an issue in the NoduleMNIST3D file (i.e., nodulemnist3d.npz). Further details can be found in this <a href="https://github.com/MedMNIST/MedMNIST/issues/22#issuecomment-1103438191">issue</a>.</p> <p><a href="https://doi.org/10.5281/zenodo.5208230">v2.0</a>: Launched the initial repository of MedMNIST v2, adding 6 datasets for 3D and 2 for 2D.</p> <p><a href="https://doi.org/10.5281/zenodo.4269852">v1.0</a>: Established the initial repository (in a separate repository) of MedMNIST v1, featuring 10 datasets for 2D.</p> <p>&nbsp;</p> <p><strong>Note</strong>: This dataset is&nbsp;<strong>NOT</strong> intended for clinical use.</p>

opencc-by-4.0Jan 2024View details →
zenodo44/100

SOON Project presentation at CHIST-ERA Projects Seminar 2022 (March 28-30 2022)

<p>Short video presentation proposed for CHIST-ERA Projects Seminar 2022&nbsp;Video contest event - March 28-30 2022..</p>

opencc-by-4.0Mar 2022View details →
zenodo44/100

Garment_28

Loom (Silk Machine), Mingei project

opencc-by-sa-4.0Jun 2022View details →
zenodo44/100

Silk_machines_closeup_28

Loom Closeup (Silk Machine), Mingei project

opencc-by-sa-4.0Jul 2022View details →
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Orthophoto & DEM from drone images, UAV, Aldabra passe arm01, Seychelles - 20221024 - 02_28

"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra passe arm01, Seychelles, on 20221024 <br> <br>The processing was carried out with the OpenDroneMap software from the raw images provided in the first version of this DOI. <br>Underwater or aerial images collected by scientists or citizens can have a wide variety of uses for science, ecosystems management, or conservation. These images can be annotated and shared to train IA models which can in turn predict the objects on such images. We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps. <br> <br><br>The parameters of the OpenDroneMap software are shared so that the proposed processes can be reproduced or improved:<br> [ <br> { <br> 'name': 'orthophoto-resolution', <br> 'value': 1 <br> }, <br> { <br> 'name': 'auto-boundary', <br> 'value': true <br> }, <br> { <br> 'name': 'dem-resolution', <br> 'value': '2.0' <br> }, <br> { <br> 'name': 'dsm', <br> 'value': true <br> } <br> ] <br> <br><b>The depot consists of the following elements:</b> <br>- 00_: Image preview panel <br>- DCIM.zip: RAW images from UAV <br>- GPS.zip: GIS file (Geopackage) containing the overflight area as well as the geolocation of the images accompanied by their thumbnails in the base64 attribute table. <br>- METADATA.zip: Exif metadata in CSV format, OGC metadata in ISO19115 / 39 XML format, flight reports with thumbnails of drone images and flight statistics (html or pdf files), <br>- PROCESSED_DATA.zip: Orthophoto, DEM, point cloud, ... <br> <br><b>Original tree structure:</b> <br>│ └─ 20221024_SYC-aldabra-passe-arm01_UAV-02_28 <br>│-------- └─ DCIM <br>│-------- └─ GPS <br>│-------- └─ METADATA <br>│-------- └─ PROCESSED_DATA <br> <br> <br><b>Flight survey information:</b> <br>- Camera model and parameters: <br> Make: Hasselblad <br> Model: L1D-20c <br> Width: 5472 <br> Height: 3648 <br> Focal: 28 <br> WhiteBalance: Manual <br> ExposureMode: Auto Exposure <br> ColoSpace: sRGB <br> EV: -0.7 <br> MeteringMode: CenterWeightedAverage <br> Camera Pitch: -75.00 <br> <br>- Survey informations: <br> No Images: 241 <br> Median height: 70 meters <br> Survey area: 84339.72 hectares <br> Survey from: 2022:10:24 13:18:01 to: 2022:10:24 13:34:24 <br> "

opencc-by-4.0Jun 2024View details →
zenodo44/100

Amsterdam - Zwanenburgerstraat 28

<u>Coordinates</u>: N/A <br><u>Length</u>: 32.7 m<br><u>Width</u>: 25.75 m<br><u>Height</u>: 20.14 m<br><u>Vertices</u>: 7334 <br><u>Primitives</u>: 6252 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.zip</th><th>.mtl</th><th>.obj</th><th>.xml</th><th>.glb</th></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/11252385_edm.xml/content">11252385_edm.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/11252385_edm.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/11252385_metsmods.xml/content">11252385_metsmods.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/11252385_metsmods.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28.obj/content">Zwanenburgerstraat_28.obj</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28.obj/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28.glb/content">Zwanenburgerstraat_28.glb</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28.glb/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/textures.zip/content">textures.zip</a></td><td><a href="https://zenodo.org/api/records/12671495/files/textures.zip/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28.mtl/content">Zwanenburgerstraat_28.mtl</a></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28.mtl/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/11252385_edm.xml/content">11252385_edm.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/11252385_edm.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12671495/files/11252385_metsmods.xml/content">11252385_metsmods.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12671495/files/11252385_metsmods.xml/content">Link</a></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12671495/files/Zwanenburgerstraat_28_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.11482660">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12652476">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12671495">0.0.4</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>

opencc-by-4.0May 2024View details →
zenodo44/100

Amsterdam - Lange Houtstraat 28

<u>Coordinates</u>: N/A <br><u>Length</u>: 13.61 m<br><u>Width</u>: 11.89 m<br><u>Height</u>: 15.47 m<br><u>Vertices</u>: 1466 <br><u>Primitives</u>: 1146 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.xml</th><th>.zip</th><th>.mtl</th><th>.glb</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28.obj/content">Lange_Houtstraat_28.obj</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28.glb/content">Lange_Houtstraat_28.glb</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695776/files/textures.zip/content">textures.zip</a></td><td></td><td><a href="https://zenodo.org/api/records/12695776/files/textures.zip/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28.mtl/content">Lange_Houtstraat_28.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28.mtl/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695776/files/11252293_metsmods.xml/content">11252293_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12695776/files/11252293_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695776/files/11252293_edm.xml/content">11252293_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12695776/files/11252293_edm.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695776/files/Lange_Houtstraat_28_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.11482315">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12695776">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>

opencc-by-4.0May 2024View details →
zenodo44/100

Amsterdam - Hout Gracht 26 28

<u>Coordinates</u>: N/A <br><u>Length</u>: 14.97 m<br><u>Width</u>: 13.63 m<br><u>Height</u>: 14.25 m<br><u>Vertices</u>: 1769 <br><u>Primitives</u>: 1381 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.xml</th><th>.zip</th><th>.mtl</th><th>.glb</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28.obj/content">Hout_gracht_26_28.obj</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28.mtl/content">Hout_gracht_26_28.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28.mtl/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28.glb/content">Hout_gracht_26_28.glb</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695021/files/textures.zip/content">textures.zip</a></td><td></td><td><a href="https://zenodo.org/api/records/12695021/files/textures.zip/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695021/files/11252359_edm.xml/content">11252359_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12695021/files/11252359_edm.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695021/files/11252359_metsmods.xml/content">11252359_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12695021/files/11252359_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695021/files/Hout_gracht_26_28_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.11482609">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12695021">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>

opencc-by-4.0May 2024View details →
zenodo44/100

Sion 1760 - Building 28 (LoD-1)

<u>Coordinates</u>: N/A <br><u>Length</u>: 18.64 m<br><u>Width</u>: 9.76 m<br><u>Height</u>: 12.34 m<br><u>Vertices</u>: 48 <br><u>Primitives</u>: 28 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.mtl</th><th>.glb</th><th>.xml</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002.obj/content">0___LoD1__id-28_002.obj</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002.mtl/content">0___LoD1__id-28_002.mtl</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002.mtl/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002.glb/content">0___LoD1__id-28_002.glb</a></td><td></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691444/files/11251900_metsmods.xml/content">11251900_metsmods.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691444/files/11251900_metsmods.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691444/files/11251900_edm.xml/content">11251900_edm.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691444/files/11251900_edm.xml/content">Link</a></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691444/files/0___LoD1__id-28_002_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.11492460">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12691444">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>

opencc-by-4.0May 2024View details →
zenodo44/100

Amsterdam - Leprozen Gracht 28

<u>Coordinates</u>: N/A <br><u>Length</u>: 17.64 m<br><u>Width</u>: 21.13 m<br><u>Height</u>: 14.26 m<br><u>Vertices</u>: 3530 <br><u>Primitives</u>: 2840 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.xml</th><th>.zip</th><th>.mtl</th><th>.glb</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28.mtl/content">Leprozen_gracht_28.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28.mtl/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691102/files/textures.zip/content">textures.zip</a></td><td></td><td><a href="https://zenodo.org/api/records/12691102/files/textures.zip/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28.obj/content">Leprozen_gracht_28.obj</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28.glb/content">Leprozen_gracht_28.glb</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691102/files/11252978_metsmods.xml/content">11252978_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12691102/files/11252978_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12691102/files/11252978_edm.xml/content">11252978_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12691102/files/11252978_edm.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12691102/files/Leprozen_gracht_28_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.11483442">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12691102">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>

opencc-by-4.0May 2024View details →
zenodo44/100

Amsterdam - Korte Houtstraat 28

<u>Coordinates</u>: N/A <br><u>Length</u>: 6.53 m<br><u>Width</u>: 7.15 m<br><u>Height</u>: 10.16 m<br><u>Vertices</u>: 1058 <br><u>Primitives</u>: 805 <br><br> The Length, Width, Height, Vertices and Primitives listed above have been derived directly from the OBJ file.<br><br><u>Main Files:</u><br><table><tbody><tr><th>Filename</th><th>.xml</th><th>.zip</th><th>.mtl</th><th>.glb</th><th>.obj</th></tr><tr><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28.mtl/content">Korte_Houtstraat_28.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28.mtl/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690551/files/textures.zip/content">textures.zip</a></td><td></td><td><a href="https://zenodo.org/api/records/12690551/files/textures.zip/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28.obj/content">Korte_Houtstraat_28.obj</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28.glb/content">Korte_Houtstraat_28.glb</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690551/files/11253002_metsmods.xml/content">11253002_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12690551/files/11253002_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12690551/files/11253002_edm.xml/content">11253002_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12690551/files/11253002_edm.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr></tbody></table><br><br><u>Thumbnails:</u><br><table><tbody><tr><th>Perspective</th><th>1000x1000</th><th>512x512</th><th>256x256</th><th>128x128</th></tr><tr><td>Perspective 1</td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12690551/files/Korte_Houtstraat_28_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.11483517">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br>&nbsp;&nbsp;- v<a href="https://doi.org/10.5281/zenodo.12690551">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>

opencc-by-4.0May 2024View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated 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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record