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.
14,253
datasets available to search
ShareScore release 0.9.0
Dataset results
14,253 results for “15”
PIE LTER 15-minute meteorological data from the Marshview Farm weather station located in Newbury, MA, year 2025
Meteorological measurements for 2025 at MBL Marshview Farm, Newbury, MA. Sensors conduct measurements every 5 seconds and measurements are reported as averages or totals for 15 minute intervals. 15 minute averages are reported for air temperature, humidity, solar radiation, PAR, wind speed and direction and barometric pressure. 15 minute totals are reported for precipitation.
PIE LTER 15-minute OTT RLS measurements of water column depth at 15 minute intervals in the lower Plum Island Sound off the Ipswich Bay Yacht Club pier, Ipswich, MA, year 2025.
Measurements of water column depth at 15 minute intervals in Plum Island Sound at the Ipswich Bay Yacht Club, for year 2025. An OTT radar level sensor (RLS) installed September 20, 2011 out of the water under the concrete pad on the Ipswich Bay Yacht Club pier, Ipswich, MA. The RLS was mounted so that continuous year round measurements can be conducted without the concern of ice flows damaging the sensor.
PIE LTER 15-minute Wind speed and direction in the lower Plum Island Sound at the Ipswich Bay Yacht Club pier, Ipswich, MA, year 2025.
Wind speed and direction measurements for 2025 at Ipswich Bay Yacht Club, Ipswich, MA. Wind speed is measured every 5 seconds and reported as an average in 15 minute intervals. Maximum wind speed is also reported for each 15 minute interval with a timestamp. Wind direction is measured every 15 minutes.
PIE LTER measurements of water column depth at 15 minute intervals in the Parker River near Rt 1A bridge, Newbury, MA, year 2000. Water depths are relative to the sonde pressure transducer and not associated with a datum.
PIE LTER, year 2000,15 minute readings of water column depth in the lower Parker River Estuary at Fernalds Marina bulkhead off Rt. 1A., Newbury, MA. Water depths are relative to the sonde pressure transducer and not associated with a datum.
PIE LTER measurements of water column depth at 15 minute intervals in the Parker River near Rt 1A bridge, Newbury, MA, year 2001. Water depths are relative to the sonde pressure transducer and not associated with a datum.
PIE LTER, year 2001,15 minute readings of water column depth in the lower Parker River Estuary at Fernalds Marina bulkhead off Rt. 1A., Newbury, MA. Water depths are relative to the sonde pressure transducer and not associated with a datum.
PIE LTER measurements of water column depth at 15 minute intervals in the Parker River near Rt 1A bridge, Newbury, MA, year 2002. Water depths are relative to the sonde pressure transducer and not associated with a datum.
PIE LTER, year 2002, 15 minute readings of water column depth in the lower Parker River Estuary at Fernalds Marina bulkhead off Rt. 1A., Newbury, MA. Water depths are relative to the sonde pressure transducer and not associated with a datum.
Dataset of publication "Speed of Sound Measurements in Helium at Pressures from 15 to 100 MPa and Temperatures from 273 to 373 K"
<p>This is a dataset of the speed of sound in helium, which was measured along five isotherms in a temperature range from 273 to 373 K at pressures from 15 to 100 MPa with a relative expanded uncertainty (k = 2) from 0.02 to 0.04%. A dual-path pulse-echo device was utilized to conduct these measurements.</p>
User Feedback Dataset from the Top 15 Downloaded Mobile Applications
<p>This dataset comprises user feedback data collected from 15 globally acclaimed mobile applications, spanning diverse categories. The included applications are among the most downloaded worldwide, providing a rich and varied source for analysis. <i><strong>The dataset is particularly suitable for Natural Language Processing (NLP) applications</strong></i>, such as text classification and topic modeling.</p><p><strong>List of Included Applications:</strong></p><ul><li>TikTok</li><li>Instagram</li><li>Facebook</li><li>WhatsApp</li><li>Telegram</li><li>Zoom</li><li>Snapchat</li><li>Facebook Messenger</li><li>Capcut</li><li>Spotify</li><li>YouTube</li><li>HBO Max</li><li>Cash App</li><li>Subway Surfers</li><li>Roblox</li><li>Data Columns and Descriptions:</li></ul><p><strong>Data Columns and Descriptions:</strong></p><ul><li>review_id: Unique identifiers for each user feedback/application review.</li><li>content: User-generated feedback/review in text format.</li><li>score: Rating or star given by the user.</li><li>TU_count: Number of likes/thumbs up (TU) received for the review.</li><li>app_id: Unique identifier for each application.</li><li>app_name: Name of the application.</li><li>RC_ver: Version of the app when the review was created (RC).</li></ul><p><strong>Terms of Use:</strong></p><p>This dataset is open access for scientific research and non-commercial purposes. Users are required to acknowledge the authors' work and, in the case of scientific publication, cite the most appropriate reference:</p><p>M. H. Asnawi, A. A. Pravitasari, T. Herawan, and T. Hendrawati, "The Combination of Contextualized Topic Model and MPNet for User Feedback Topic Modeling," in IEEE Access, vol. 11, pp. 130272-130286, 2023, doi: <a href="https://doi.org/10.1109/ACCESS.2023.3332644">10.1109/ACCESS.2023.3332644</a>.</p><blockquote><p>Researchers and analysts are encouraged to explore this dataset for insights into user sentiments, preferences, and trends across these top mobile applications. If you have any questions or need further information, feel free to contact the dataset authors.</p></blockquote>
KDE Representations of the Gravitational Wave Background Free Spectra Present in the NANOGrav 15-Year Dataset
<p><i><strong>OVERVIEW</strong></i></p><p><i><strong>----------------</strong></i></p><p>This is a downloadable file of probability densities from KDEs (Kernel Density Estimator) of free spectrum analyses of the NANOGrav 15yr Dataset (DOI <a href="https://doi.org/10.5281/zenodo.7967584">10.5281/zenodo.7967584</a>) that can be used with the <a href="https://github.com/astrolamb/ceffyl">Ceffyl</a> and <a href="https://github.com/andrea-mitridate/PTArcade">PTArcade</a> packages. Please see the GitHub page for Ceffyl/PTArcade installation details and usage information.<br><br>Details on how this data product was produced can be found in <a href="https://journals.aps.org/prd/abstract/10.1103/PhysRevD.108.103019"><i>Lamb, Taylor & van Haasteren 2023 (DOI 10.1103/PhysRevD.108.103019).</i></a></p><p><i><strong>DIRECTORY AND FILE STRUCTURE</strong></i></p><p><i><strong>----------------------------------------------------</strong></i></p><p>Each directory contains a file with log-pdfs representing their corresponding free spectra (`density.npy`), the frequencies at which they were analysed (`freqs.npy`), the grid-points at which each log-pdf was computed (`log10rhogrid.npy`), frequency labels (`log10rholabels.txt`), analysis label (`pulsar_list.txt`), an array of bandwidths computed using the Sheather-Jones method (see Lamb et al. 2023; 'bandwidths.npy'), and a file with some metadata about the data (`log.txt`).</p><p>./30f_fs{cp}_ceffyl </p><ul><li>A representation of a 30 frequency CURN free spectrum.</li></ul><p>./30f_fs{hd}_ceffyl</p><ul><li>A representation of a 30 frequency HD-correlated free spectrum</li></ul><p>./30f_fs{hd+mp+dp}_ceffyl_hd-only</p><ul><li>A representation of an analysis that simultaneously modeled a HD-correlated free spectrum, a MP-correlated free spectrum, and a DP-correlated free spectrum. Only the HD component is represented here.</li></ul><p>./30f_fs{hd+mp+dp+cp}_ceffyl_hd-only</p><ul><li>A representation of an analysis that simultaneously modeled a HD-correlated free spectrum, a MP-correlated free spectrum, a DP-correlated free spectrum, and a CURN free spectrum. Only the HD component is represented here.</li></ul><p>./README</p><ul><li>this is a readme</li></ul><p><i><strong>SOFTWARE</strong></i></p><p><i><strong>------------------</strong></i></p><p>This data should ideally be used with the latest versions of:</p><ul><li><i><strong>ceffyl</strong></i> (https://github.com/astrolamb/ceffyl)</li><li><i><strong>PTArcade </strong></i>(https://github.com/andrea-mitridate/PTArcade)</li></ul><p><i><strong>PLANNED REVISIONS</strong></i></p><p><i><strong>---------------------------------</strong></i></p><p>None</p><p><i><strong>CHANGE LOG</strong></i></p><p><i><strong>----------------------</strong></i></p><p>10/12/2023 - updated KDE representations</p><p>A bug was found that produced a poor reflection at the lower prior boundary. Hence, data was being represented well at the lower prior boundary. This has now been corrected.</p>
Silk_machines_closeup_15
Loom Closeup (Silk Machine), Mingei project
video_Carafe_procedure_15
This is the process of making a carafe Bontemps. The step depicted is called "Annealing"(from the Mingei project).
video_Carafe_procedure_15
This is the process of making a carafe Bontemps. The step depicted is called "Annealing"(from the Mingei project).
MONNALISA_NUM_DA_0_SA_30_AR_5_TR_0.4_Delta_15
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
MONNALISA_NUM_DA_45_SA_30_AR_5_TR_0.4_Delta_15
Upload of the numerical solutions for the Reference plane of the MONNALISA Project. Please, refer to the README file of this folder and to the articles associated.
Measure While Drilling (MWD) dataset with rock type labels for 15 Norwegian hard rock tunnels
<p>The dataset is presented in the paper: </p> <p><em>Building and analysing a labelled Measure While Drilling dataset from 15 hard rock tunnels in Norway</em>, by T.F. Hansen, Z. Liu, J. Torressen</p> <p>The paper has a preprint on SSRN: <a href="http://dx.doi.org/10.2139/ssrn.4729646" target="_blank" rel="noopener">http://dx.doi.org/10.2139/ssrn.4729646</a> and is under review in a peer-reviewed journal.</p> <p>The dataset is utilised in a machine learning analysis in the paper:</p> <p><em>Predicting rock type from MWD tunnel data using a reproducible ML-modelling process</em>, by T.F. Hansen, Z. Liu, J. Torressen</p> <p>The paper is published in the journal <em>Tunnelling and Underground Space Technology</em>: </p> <p><a href="https://doi.org/10.1016/j.tust.2024.105843">https://doi.org/10.1016/j.tust.2024.105843</a></p> <p> </p> <p><strong>Description of the dataset:</strong></p> <p>Measure While Drilling (MWD) is a technique in rock drilling, mainly used in drill and blast tunnelling, where data about the rock mass is registered by sensors while drilling. The extensive and geologically diversified dataset contains corresponding MWD-data and rock mass mappings for 5205 blasting rounds from 15 hard rock tunnels in Norway. MWD-data are presented as tabular data. 10 different rocktypes are the corresponding labels.</p> <p>Four files are given:</p> <ul> <li>A csv-file of the training dataset - with outliers removed</li> <li>A csv-file of the testing dataset (split train/test 0.75/0.25) - with outliers removed</li> <li>A csv-file with the full unsplitted dataset, cleaned and with outliers removed</li> <li>A csv-file with the raw dataset, before cleaning, processing and outlier removal</li> </ul> <p>The author gratefully acknowledge the tunnel software/hardware company Bever Control, which have facilitated data from the clients Bane NOR, Statens Vegvesen, Nye Veier, and the contractor AF-Gruppen.</p> <p> </p> <p><strong>NOTE:</strong> The dataset is only available for research, no commercial use.</p>
Orthophoto & DEM from drone images, UAV, Aldabra arm06, Seychelles - 20221022 - 02_15
"This dataset presents the results of the photogrammetry process using images collected by an Unmanned Aerial Vehicle in Aldabra arm06, Seychelles, on 20221022 <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>│ └─ 20221022_SYC-aldabra-arm06_UAV-02_15 <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: Average <br> Camera Pitch: -75.00 <br> <br>- Survey informations: <br> No Images: 299 <br> Median height: 150 meters <br> Survey area: 28.16 hectares <br> Survey from: 2022:10:22 15:36:50 to: 2022:10:22 15:53:50 <br> "
Sion 1840 - Building 15 (LoD-1)
<u>Coordinates</u>: N/A <br><u>Length</u>: 7.48 m<br><u>Width</u>: 6.07 m<br><u>Height</u>: 7.44 m<br><u>Vertices</u>: 24 <br><u>Primitives</u>: 12 <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>.obj</th><th>.glb</th><th>.xml</th></tr><tr><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001.mtl/content">0___LoD1__id-15_001.mtl</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001.mtl/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001.glb/content">0___LoD1__id-15_001.glb</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001.obj/content">0___LoD1__id-15_001.obj</a></td><td></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001.obj/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12672355/files/11248612_edm.xml/content">11248612_edm.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12672355/files/11248612_edm.xml/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12672355/files/11248612_metsmods.xml/content">11248612_metsmods.xml</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12672355/files/11248612_metsmods.xml/content">Link</a></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/12672355/files/0___LoD1__id-15_001_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12672355/files/0___LoD1__id-15_001_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.11484576">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12672355">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Amsterdam - Korte Houtstraat 15
<u>Coordinates</u>: N/A <br><u>Length</u>: 11.12 m<br><u>Width</u>: 13.43 m<br><u>Height</u>: 14.05 m<br><u>Vertices</u>: 1881 <br><u>Primitives</u>: 1560 <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/12695759/files/Korte_Houtstraat_15.obj/content">Korte_Houtstraat_15.obj</a></td><td></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12695759/files/textures.zip/content">textures.zip</a></td><td></td><td><a href="https://zenodo.org/api/records/12695759/files/textures.zip/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15.mtl/content">Korte_Houtstraat_15.mtl</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15.mtl/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15.glb/content">Korte_Houtstraat_15.glb</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15.glb/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695759/files/11252295_metsmods.xml/content">11252295_metsmods.xml</a></td><td><a href="https://zenodo.org/api/records/12695759/files/11252295_metsmods.xml/content">Link</a></td><td></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12695759/files/11252295_edm.xml/content">11252295_edm.xml</a></td><td><a href="https://zenodo.org/api/records/12695759/files/11252295_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/12695759/files/Korte_Houtstraat_15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12695759/files/Korte_Houtstraat_15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.11482463">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12695759">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Sion 1640 - Building 15 (LoD-1)
<u>Coordinates</u>: N/A <br><u>Length</u>: 15.02 m<br><u>Width</u>: 11.83 m<br><u>Height</u>: 7.44 m<br><u>Vertices</u>: 24 <br><u>Primitives</u>: 12 <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/12693624/files/0___LoD1__id-15.obj/content">0___LoD1__id-15.obj</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15.mtl/content">0___LoD1__id-15.mtl</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15.mtl/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15.glb/content">0___LoD1__id-15.glb</a></td><td></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12693624/files/11250212_edm.xml/content">11250212_edm.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12693624/files/11250212_edm.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12693624/files/11250212_metsmods.xml/content">11250212_metsmods.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12693624/files/11250212_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/12693624/files/0___LoD1__id-15_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12693624/files/0___LoD1__id-15_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.11488694">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12693624">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
Sion 1760 - Building 15 (LoD-1)
<u>Coordinates</u>: N/A <br><u>Length</u>: 15.22 m<br><u>Width</u>: 9.88 m<br><u>Height</u>: 7.44 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/12692273/files/0___LoD1__id-15_002.obj/content">0___LoD1__id-15_002.obj</a></td><td></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002.obj/content">Link</a></td></tr><tr><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002.mtl/content">0___LoD1__id-15_002.mtl</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002.mtl/content">Link</a></td><td></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002.glb/content">0___LoD1__id-15_002.glb</a></td><td></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002.glb/content">Link</a></td><td></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12692273/files/11251847_edm.xml/content">11251847_edm.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12692273/files/11251847_edm.xml/content">Link</a></td><td></td></tr><tr><td><a href="https://zenodo.org/api/records/12692273/files/11251847_metsmods.xml/content">11251847_metsmods.xml</a></td><td></td><td></td><td><a href="https://zenodo.org/api/records/12692273/files/11251847_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/12692273/files/0___LoD1__id-15_002_perspective_1.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_1_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_1_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_1_128x128.png/content">Link</a></td></tr><tr><td>Perspective 2</td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_2.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_2_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_2_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_2_128x128.png/content">Link</a></td></tr><tr><td>Perspective 3</td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_3.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_3_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_3_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_3_128x128.png/content">Link</a></td></tr><tr><td>Perspective 4</td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_4.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_4_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_4_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_4_128x128.png/content">Link</a></td></tr><tr><td>Perspective Top</td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_top.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_top_512x512.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_top_256x256.png/content">Link</a></td><td><a href="https://zenodo.org/api/records/12692273/files/0___LoD1__id-15_002_perspective_top_128x128.png/content">Link</a></td></tr></tbody></table><br><br><br><u>Changelog</u>: <br> - v<a href="https://doi.org/10.5281/zenodo.11492388">0.0.2</a>: Thumbnails added, Description updated with Link Tables.<br> - v<a href="https://doi.org/10.5281/zenodo.12692273">0.0.3</a>: Added XMLs for Europeana Data Model (EDM) and MetsMods.<br>
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.