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.
105
datasets available to search
ShareScore release 0.9.0
Dataset results
105 results for “Toulouse”
PM_104003_F_Toulouse
<u>File Name</u>: PM_104003_F_Toulouse.jpg <br><u>Sublocation</u>: Cathédrale Saint-Etienne <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur; le choeur; Les étals; Détail; 1611; <br><u>Description</u>: Cathedral (Cathédrale Saint-Etienne) Interior The choir The stalls Detail 1611 <br><u>Keywords</u>: Cathedral, Cultural heritage, Europe, France, Furniture/accessory furnishing, Haute-Garonne, Monuments, Occitanie, Thematic, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_104016_F_Toulouse
<u>File Name</u>: PM_104016_F_Toulouse.jpg <br><u>Sublocation</u>: Cathédrale Saint-Etienne <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur; Le déambulatoire; Les voûtes de l'abside; Détail; La clé de voûte; 12ème - 13ème siècle; <br><u>Description</u>: Cathedral (Cathédrale Saint-Etienne) Interior The ambulatory The vaults of the apse Detail The keystone 12th - 13th century <br><u>Keywords</u>: Cathedral, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Sculpture, Techniques, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
Hyperspectral imagery Research Products - Toulouse urban area 2015 (French ANR HYEP project)
<p>The HYEP project (ANR 14-CE22-0016-01) main goal was to propose a panel of methods and processes designed for hyperspectral imaging, which specificity makes a weighty auxiliary for the monitoring of the elements of the urban area. The main results of the project can be found at</p> <ul> <li><a href="http://doi.org/10.1080/01431161.2017.1410247">G. Roussel, C. Weber, X. Briottet and X. Ceamanos, "Comparison of two atmospheric correction methods for the classification of spaceborne urban hyperspectral data depending on the spatial resolution", International Journal of Remote Sensing, vol. 39(5), pp. 1593-1614, 2018.</a></li> <li><a href="http://doi.org/10.1109/ECMSM.2017.7945884">F. Z. Benhalouche, M. S. Karoui, Y. Deville, I. Boukerch, A. Ouamri, ``Multi-sharpening hyperspectral remote sensing data by multiplicative joint-criterion linear-quadratic nonnegative matrix factorization'', Proceedings of the 2017 IEEE International Workshop on Electronics, Control, Measurement, Signals and their application to Mechatronics (ECMSM 2017), May 24-26, 2017, Donostia - San Sebastian</a></li> <li><a href="https://hal-amu.archives-ouvertes.fr/hal-01903469">Gintautas Mozgeris, Vytaut ̇e Juodkien ̇e, Donatas Jonikaviˇcius, Lina Straigyt ̇e, S ́ebastien Gadal, and Walid Ouerghemmi. Ultra-Light Aircraft-Based Hyperspectral and Colour-Infrared Imaging to Identify Deciduous Tree Species in an Urban Environment. Remote Sensing, 10(10), October 2018.</a></li> <li><a href="https://hal.archives-ouvertes.fr/hal-02281003">Christiane Weber, Thomas Houet, S ́ebastien Gadal, Rahim Aguejdad, Grzegorz Skupinski, Yannick Deville, Jocelyn Chanussot, Mauro Dalla Mura, Xavier Briottet, Cl ́ement Mallet, and Arnaud Le Bris. HYEP HYperspectral imagery for Environmental urban Planning : principaux résultats. In 7ème colloque scientifique du groupe SFPT-GH, Toulouse, France, July 2019. ONERA - SFTP.</a></li> <li><a href="https://hal-amu.archives-ouvertes.fr/hal-01852844">Christiane Weber, Rahim Aguejdad, Xavier Briottet, Josselin Aval, Sophie Fabre, Jean Demuynck, Emmanuel Zenou, Yannick Deville, Moussa Sofiane Karoui, Fatima Zohra, Sébastien Gadal, Walid Ouerghemmi, Clément Mallet, Arnaud Le Bris, and Nesrine CHEHATA. Hyperspectral Imagery for Environmental Urban Planning. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2018, pages 1628–1631, Valencia, Spain, July 2018a. IEEE.</a></li> <li><a href="https://hal.archives-ouvertes.fr/hal-01854904">Christiane Weber, Rahim Aguejdad, X Briottet, J Avala, S. Fabre, J Demuynck, E Zenou, Y. Deville, M. Karoui, F Z Benhalouche, S Gadal, W Ourghemmi, C. Mallet, A. Le Bris, and N. Chehata. HYPERSPECTRAL IMAGERY FOR ENVIRONMENTAL URBAN PLANNING. In IGARSS 2018, Valencia, Spain, 2018b. </a></li> <li><a href="http://doi.org/10.5194/isprs-archives-XLII-1-W1-167-201">W. Ouerghemmi, A. Le Bris, Nesrine CHEHATA, and Clément Mallet. A two-step decision fusion strategy: application to hyperspectral and multispectral images for urban classification. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, volume XLII-1/W1, pages 167–174, Hanover, Germany, May 2017. Copernicus GmbH (Copernicus Publications).</a></li> <li><a href="https://hal.inria.fr/hal-02384455">Christiane Weber, Sébastien GADAL, Xavier Briottet, and Clément Mallet. Apport de l’imagerie hyperspectrale pour la planification urbaine. In Karine Emsellem, Diego Moreno, Christine Voiron-Canicio, and Didier Josselin, editors, SAGEO 2016 - Spatial Analysis and Geomatics, Actes de la conférence SAGEO’2016 - Spatial Analysis and GEOmatics, pages 454–462, Nice, France, December 2016. </a></li> <li><a href="https://hal-amu.archives-ouvertes.fr/hal-01359643">Gintautas Mozgeris, S ́ebastien Gadal, Donatas Jonikaviˇcius, Lina Straigyte, Walid Ouerghemmi, and Vytaut ̇e Juodkiene. Hyperspectral and color-infrared imaging from ultra-light aircraft: Potential to recognize tree species in urban environments. In University of California Los Angeles, editor, 8th Workshop in Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, pages 542–546, Los Angeles, United States, August 2016.</a></li> <li><a href="https://hal.inria.fr/hal-02384458">Alexandre Hervieu, Arnaud Le Bris, and Cl ́ement Mallet. Fusion of hyperspectral and VHR multispectral image classifications in urban α–areas. In ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, volume III-3, pages 457–464, Prague, Czech Republic, July 2016.</a></li> <li><a href="https://hal.archives-ouvertes.fr/hal-01888126">Christiane Weber, Thomas Houet, Sebastien GADAL, Rahim Aguejdad, Grzegorz Skupinski, Aziz Serradj, Yannick Deville, Jocelyn Chanussot, Mauro Dalla Mura, Xavier Briottet, Clément Mallet, and Arnaud Le Bris. ANR HYEP ANR 14-CE22-0016-01Hyperspectral imagery for Environmental urban Planning HyepProgramme Mobilité et systèmes urbains 2014. Research report, CNRS UMR TETIS, ESPACE, LETG ; ONERA ; GIPSA-lab ; IRAP ; IGN, October 2018c. </a></li> <li><a href="https://doi.org/10.1080/01431161.2019.1579937">Josselin Aval, Sophie Fabre, Emmanuel Zenou, David Sheeren, Mathieu Fauvel & Xavier Briottet (2019) Object-based fusion for urban tree species classification from hyperspectral, panchromatic and nDSM data, International Journal of Remote Sensing, 40:14, 5339-5365, DOI: 10.1080/01431161.2019.1579937 </a></li> <li><a href="https://doi.org/10.3390/rs11111269">Charlotte Brabant, Emilien Alvarez-Vanhard, Achour Laribi, Gwenaël Morin, Kim Thanh Nguyen et al. Comparison of Hyperspectral Techniques for Urban Tree Diversity Classification Remote Sensing, MDPI, 2019, 11 (11), pp.1269. ⟨10.3390/rs11111269⟩ hal-02191084v1 </a></li> <li><a href="https://hal.archives-ouvertes.fr/halshs-02191363v1">C. Brabant, Emilien Alvarez-Vanhard, Gwenaël Morin, Thanh Ngoc Nguyen, Achour Laribi et al. Evaluation of dimensional reduction methods on urban vegetation classification performance using hyperspectral data IGARSS 2018, Jul 2018, Valencia, Spain halshs-02191363v1</a></li> <li><a href="https://hal.archives-ouvertes.fr/halshs-02191097v1">Charlotte Brabant, Emilien Alvarez-Vanhard, Thomas Houet. Improving the classification of urban tree diversity from Very High Spatial Resolution hyperspectral images: comparison of multiples techniques Joint Urban Remote Sensing Event (JURSE 2019), May 2019, Vannes, France halshs-02191097v1</a></li> </ul> <p>This Dataset contains five research outputs of this project that were produced on the basis of Hyperspectral data obtained during an acquisition campaign led on Toulouse (France) urban area on July 2015 using Hyspex instrument which provides 408 spectral bands spread over 0.4 – 2.5 μ. Flight altitude lead to 2 m spatial resolution images.</p> <ul> <li><strong>Fields_samples.7z: </strong> ESRI Shape Format. Supervised SVN classification results for 600 urban trees according to a 3 level nomenclature: leaf type (5 classes), family (12 & 19 classes) and species (14 & 27 classes). The number of classes differ for the two latter as they depend on the minimum number of individuals considered (4 and 10 individuals per class respectively). Trees positions have been acquired using differential GPS and are given with centimetric to decimetric precision. A randomly selected subset of these trees has been used to train machine SVM and Random Forest classification algorithms. Those algorithms were applied to hyperspectral images using a number of classes for family (12 & 19 classes) and species (14 & 27 classes) levels defined according to the minimum number of individuals considered during training/validation process (4 and 10 individuals per class, respectively). Global classification precision for several training subsets is given by Brabant et al, 2019 (<a href="https://www.mdpi.com/470202">https://www.mdpi.com/470202</a>) in terms of averaged overall accuracy (AOA) and averaged kappa index of agreement (AKIA).</li> <li><strong>HySPex-2m.7z: </strong>full hyperspectral VNIR-SWIR ENVI standard image obtained from the coregistration of both VNIR and SWIR ones through a signal aggregation process that allowed to obtain a synthetic VNIR 1.6 m spatial resolution image, with pixels exactly corresponding to natif SWIR image ones. First, a spatially resampled 1.6 m VNIR image was built, where output pixel values were calculated as the average of the VNIR 0.8 m pixel values that spatially contribute to it. Then, ground control points (GCP) were selected over both images and SWIR one was tied to the VNIR 1.6 m image using a bilinear resampling method using ENVI tool. This lead to a 1.6 m spatial resolution full VNIR-SWIR image.</li> <li><strong>HYPXIM-4m.7z, HYPXIM-8m.7z, Sentinel2-10m.7z</strong>: hyperspectral ENVI standard simulated images. Spatial and spectral configurations generated correspond to ESA SENTINEL-2 instrument that was lunched on 2015, and HYPXIM sensor which was under study at that time. </li> </ul>
Agricultural Parcel_CO2flux_France-Toulouse_0.30_15102018_15102019
<p>Set of agricultural parcels, with their geometry, crop type, value of CO2 flux (due to the crop vegetation cycle during an agricultural campaign year) and a few other attributes (intermediary results, quality information).</p>
Linked collectors and determiners for: Herbier de conifères du Laboratoire forestier de Toulouse (TL 110).
Natural history specimen data linked to collectors and determiners held within, "Herbier de conifères du Laboratoire forestier de Toulouse (TL 110)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/281c393c-7dab-4a37-ae59-f15f4fecfa52">https://bionomia.net/dataset/281c393c-7dab-4a37-ae59-f15f4fecfa52</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/281c393c-7dab-4a37-ae59-f15f4fecfa52">https://gbif.org/dataset/281c393c-7dab-4a37-ae59-f15f4fecfa52</a>. Formatted as a Frictionless Data package.
Toulouse Campus Surveillance Dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views
<p>The Toulouse Campus surveillance Dataset, named ToCaDa, contains two sets of 25 temporally synchronized videos corresponding to two scripted scenarios.<br> <br> With the help of about 50 persons (actors and camera holders), these videos were shot on July 17th 2017 at 9:50 a.m. and 11:04 a.m. respectively.<br> <br> Among the cameras:<br> • 9 were located inside the main building and shot from the windows at different floors. All these cameras are focusing the car park and the path leading to the main entrance of the building with large overlapping fields of view.<br> • 8 were located in front of the building and filmed it with large overlapping fields of view.<br> • 8 cameras were arranged further, scattered around the university campus. Each of their views is disjoint from all the others.<br> <br> About 20 actors were asked to follow two realistic scenarios by performing scripted actions, like driving a car, walking, entering or leaving a building, or holding an item in hand while being filmed.<br> <br> In addition to ordinary actions, some suspicious behaviors are present.</p> <p><strong>Irregularities:</strong></p> <p>Due to the wide variety of devices used during the shooting of the two scenarios, issues were encountered on some cameras, leading to videos where a few seconds are lacking. To ensure temporal synchronization between videos, black frames were added on the missing intervals of time. We list these particular videos and their lacking times below:</p> <p>F1C3: the first 66 seconds are missing.<br> F1C5: the first 2 seconds are missing.<br> F1C8: the first 3 seconds are missing.<br> F1C13: the first 10 seconds are missing.<br> F1C15: the first second is missing.<br> F1C19: the first second is missing.<br> F2C1: the video is accelerated and only lasts a few seconds. We thus did not provide it.<br> F2C6: lacks from 4:01 to 4:12 and from 4:25 to 4:28.<br> F2C16: lack from 5:15 to 5:26.</p> <p>Some videos were recorded with mobile devices whose pixel resolution was lower than 1920 x 1080:</p> <p>F1C3 and F2C3: pixel resolution is 1280 x 720.<br> F1C4 and F2C4: pixel resolution is 640 x 480.<br> F1C15 and F2C15: pixel resolution is 1280 x 720.<br> F1C20 and F2C20: pixel resolution is 1440 x 1080.<br> <br> More detailed information about the position of the cameras can be found on the following link:<br> <a href="http://ubee.enseeiht.fr/dokuwiki/doku.php?id=public:tocada">http://ubee.enseeiht.fr/dokuwiki/doku.php?id=public:tocada</a><br> <br> <strong>Citation</strong><br> T. Malon, G. Roman-Jimenez, P. Guyot, S. Chambon, V. Charvillat, A. Crouzil, A. Péninou, J. Pinquier, F. Sèdes and C. Sénac, Toulouse campus surveillance dataset: scenarios, soundtracks, synchronized videos with overlapping and disjoint views, ACM Multimedia Systems Conference, 2018.</p>
Héraklès archer Bourdelle Toulouse
Statue d'Héraklès par Antoine Bourdelle faite en1909. L'installation à toulouse date de 1925. https://fr.wikipedia.org/wiki/H%C3%A9rakl%C3%A8s_archer_(Toulouse) https://fr.wikipedia.org/wiki/H%C3%A9rakl%C3%A8s_archer Source: Objaverse 1.0 / Sketchfab
Toulouse Capitole camera tracking dataset
<p>This dataset collects 56 images taken in Place du Capitole in Toulouse (FRA) (https://goo.gl/maps/rWyj8yCGAMP2) and 3 related videos taken while moving around in the place. The aim of the dataset is to test and evaluate the camera tracking algorithms developed for the POPART project (http://www.popartproject.eu/), and help the reproducibility of the experiments.</p> <p>The camera tracking algorithms developed for the POPART project are based on model tracking of an existing 3D reconstruction of the scene. First a collection of still images are taken and a SfM pipeline is used to perform the 3D reconstruction of the scene. As result of this first step, a 3D point cloud is generated. The camera tracking algorithms are then based on camera localization techniques: each frame is individually localized w.r.t. the 3D point cloud using the photometric information (SIFT features) associated to each point. This allows to align the point cloud to the current frame and thus compute the camera pose.</p> <p>The dataset is maintained at https://gitlab.com/simogasp/trackingDataset_TLSCapitole </p>
Hôtel de Bagis ou de Clary, Toulouse (31)
Modélisé avec un téléphone portable, je le ferai avec un véritable appareil photo plus tard. Source: Objaverse 1.0 / Sketchfab
PM_051298_F_Toulouse
<u>File Name</u>: PM_051298_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Une chasse reliquaire (Armoire de la châsse de saint Papoul). Orfèvrerie. Début du 16ème siècle. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior A reliquary chasse (Armoire de la châsse de saint Papoul) Silversmithing Begin 16th century <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Sculpture, Silversmithing/metalsmith/jewellery, Techniques, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051297_F_Toulouse
<u>File Name</u>: PM_051297_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Une chasse reliquaire (Armoire de la châsse de saint Gilbert). Détail. Bas-relief d'un saint. Châtiment d'argent. 1517. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior A reliquary chasse (Armoire de la châsse de saint Gilbert) Detail Bas-relief of a saint Silver smiting 1517 <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Sculpture, Silversmithing/metalsmith/jewellery, Techniques, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051278_F_Toulouse
<u>File Name</u>: PM_051278_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Le déambulatoire. Bas-relief. Bernardus Gelduinus ( ?). Un apôtre. Roman. Vers 1096. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior The ambulatory Bas-relief Bernardus Gelduinus (?) An apostle Romanesque Ca 1096 <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Romanesque, Sculpture, Styles, Techniques, Toulouse <br><br><u>Author</u>: Bernardus Gelduinus (?) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051287_F_Toulouse
<u>File Name</u>: PM_051287_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Le déambulatoire. Bas-relief. Bernardus Gelduinus ( ?). Un ange. Détail. Buste. Roman. Vers 1096. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior The ambulatory Bas-relief Bernardus Gelduinus (?) An angel Detail Bust Romanesque Ca 1096 <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Romanesque, Sculpture, Styles, Techniques, Toulouse <br><br><u>Author</u>: Bernardus Gelduinus (?) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051293_F_Toulouse
<u>File Name</u>: PM_051293_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Une chasse reliquaire (Armoire de la châsse de saint Gilbert). Détail. Bas-relief d'un saint. Châtiment d'argent. 1517. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior A reliquary chasse (Armoire de la châsse de saint Gilbert) Detail Bas-relief of a saint Silver smiting 1517 <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Sculpture, Silversmithing/metalsmith/jewellery, Techniques, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051286_F_Toulouse
<u>File Name</u>: PM_051286_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Le déambulatoire. Les voûtes. Roman. 11ème - 12ème siècle. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior The ambulatory The vaults Romanesque 11th - 12th century <br><u>Keywords</u>: Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Romanesque, Styles, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051324_F_Toulouse
<u>File Name</u>: PM_051324_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Le déambulatoire. Bas-relief. Bernardus Gelduinus ( ?). Un séraping. Détail. Tête. Roman. Vers 1096. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior The ambulatory Bas-relief Bernardus Gelduinus (?) A seraph Detail Head Romanesque Ca 1096 <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Romanesque, Sculpture, Styles, Techniques, Toulouse <br><br><u>Author</u>: Bernardus Gelduinus (?) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051254_F_Toulouse
<u>File Name</u>: PM_051254_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Porte Miégeville <br><u>Description</u>: Porte Miégeville <br><u>Keywords</u>: Classicism, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Styles, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051329_F_Toulouse
<u>File Name</u>: PM_051329_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Intérieur. Le déambulatoire. Bas-relief. Bernardus Gelduinus ( ?). Un apôtre. Détail. Tête. Roman. Vers 1096. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Interior The ambulatory Bas-relief Bernardus Gelduinus (?) An apostle Detail Head Romanesque Ca 1096 <br><u>Keywords</u>: Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Romanesque, Sculpture, Styles, Techniques, Toulouse <br><br><u>Author</u>: Bernardus Gelduinus (?) <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051248_F_Toulouse
<u>File Name</u>: PM_051248_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Extérieur. transept sud. Le portail (Porte des Comtes). Roman. 11ème siècle. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Exterior South transept The portal (Porte des Comtes) Romanesque 11th century <br><u>Keywords</u>: Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Romanesque, Styles, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <br>
PM_051251_F_Toulouse
<u>File Name</u>: PM_051251_F_Toulouse.jpg <br><u>Sublocation</u>: Basilique Saint-Sernin <br><u>Location</u>: Toulouse <br><u>Province</u>: Occitanie, Haute-Garonne <br><u>Country</u>: France <br><u>Header</u>: Extérieur. transept sud. Le portail (Porte des Comtes). Détail. Une plaque de pierre. <br><u>Description</u>: Basilical church (Basilique Saint-Sernin de Toulouse) Exterior South transept The portal (Porte des Comtes) Detail A stone plate <br><u>Keywords</u>: Antique/Hellenic/Roman, Bas-relief, Cultural heritage, Europe, France, Haute-Garonne, Monuments, Occitanie, Period, Techniques, Toulouse <br><br><u>Author</u>: Photo: Paul M.R. Maeyaert <br><u>Copyright</u>: Paul M.R. Maeyaert <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.