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Orthophoto & DEM (MNE) issues d'images drone, UAV, Musicalplage, Mayotte - 20220910
"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Musicalplage, Mayotte à la date suivante : 20220910. <br> <br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise à étudier l'implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l'aéroport de Mayotte. <br> <br> <br><br>Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:<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>Le dépôt est composé des éléments suivants:</b> <br> - 00_: Planche d'aperçu des images <br> - DCIM.zip: Images brutes issues du drone <br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 <br> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. <br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... <br> <br><b>Arborescence d'origine:</b> <br>└─ 20220910_MYT-musicalplage_UAV-02_1 <br> └─ DCIM <br> └─ GPS <br> └─ METADATA <br> └─ tb <br> └─ PROCESSED_DATA <br> <br><b>Informations de survol:</b> <br>Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d'obtenir des données de qualité en fonction des conditions météorologiques et marines. <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: -0.3 <br> MeteringMode: Average <br> Camera Pitch: -70.30 <br> <br>- Survey informations: <br> No Images: 114 <br> Median height: 120 meters <br> Survey area: 13.92 hectares <br> Survey from: 2022:09:10 11:00:06 to: 2022:09:10 11:07:35 <br>"
Orthophoto & DEM (MNE) issues d'images drone, UAV, Surprise, Mayotte - 20220912
"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Surprise, Mayotte à la date suivante : 20220912. <br> <br>Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise à étudier l'implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l'aéroport de Mayotte. <br> <br> <br><br>Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés:<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>Le dépôt est composé des éléments suivants:</b> <br> - 00_: Planche d'aperçu des images <br> - DCIM.zip: Images brutes issues du drone <br> - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 <br> - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. <br> - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... <br> <br><b>Arborescence d'origine:</b> <br>└─ 20220912_MYT-surprise_UAV-02_3 <br> └─ DCIM <br> └─ GPS <br> └─ METADATA <br> └─ tb <br> └─ PROCESSED_DATA <br> <br><b>Informations de survol:</b> <br>Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d'obtenir des données de qualité en fonction des conditions météorologiques et marines. <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: 385 <br> Median height: 70 meters <br> Survey area: 8.11 hectares <br> Survey from: 2022:09:12 14:29:06 to: 2022:09:12 14:43:35 <br>"
Test splits for CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS
<p>Test splits for the categorical emotion datasets CREMA-D, emoDB, IEMOCAP, MELD, RAVDESS used inside audEERING. </p><p>For each dataset, a CSV file is provided listing the file names included in the test split.</p><p>The test splits were designed trying to balance gender and emotional categories as good as possible.</p>
Série de prises de vue d'habitations sur pilotis à Bangkok (Bangkok 2009)
<p>Corpus de photos servant à un projet de recherche sur les textscapes urbains et périurbains (street- et cityscape). </p>
MTAB3D: a 3-D velocity model for absolute hypocenter location in southern Iberia and westernmost Mediterranean.
<p>The Trans-Alboran Shear Zone is one of the most seismically active areas in the westernmost Mediterranean, where a wide variety of tectonic domains have developed within the context of oblique convergence between Eurasia and Africa plates. In this region, earthquakes occur close to seismogenic structures, some of them large enough to cause damaging events. In addition, the diversity of tectonic domains implies a lateral variation of seismic wave propagation, which could affect the hypocenter reliability if not addressed during the location procedure. In this work, we present mTAB3D, a new 3D P-wave velocity model that accounts for the lateral heterogeneity of our study area. The new catalogs computed with our model help us to infer possible genetic relations between seismicity and source faults within our study area and can be used as an additional tool when looking into prior seismic sequences.</p>
Data from: The effect of probe density coverage on the detection of oenological tannins in quartz crystal microbalance with dissipation monitoring (QCM-D) experiments
<p>Polyphenols, crucial compounds in grapes, musts, and wines, influence grape ripening, must fermentation, and final wine quality. Current detection methods for polyphenols are expensive, time-consuming, and reliant on specialized laboratories and personnel. This study proposes the use of a functionalized acoustic sensor to address these limitations and efficiently detect oenological polyphenols.</p> <p>The method employs a quartz crystal microbalance with dissipation monitoring (QCM-D) combined with a gelatin-based probe layer to detect the target analyte. The sensor is functionalized by optimizing probe coverage density, accomplished through the use of 12-mercaptododecanoic acid (12-MCA) for probe immobilization onto the gold sensor surface, along with dithiothreitol (DTT) as a reducing and competitive binding agent. Varying concentrations of 12-MCA and DTT allow for control over probe density, with QCM-D measurements demonstrating effective adjustment, ranging from 0.2 × 10^13 to 2 × 10^13 molecules cm^−2. The study also explores the interaction between the probe and tannins, confirming the ability of the sensor to detect them. Notably, lower probe coverage yields higher detection signals when normalized to probe immobilization signals. Additionally, significant alterations in the mechanical properties of the functionalization layer occur after interaction with samples.</p> <p>Combining QCM-D with gelatin functionalization presents promising applications in the wine industry. This approach enables real-time monitoring, requires minimal sample preparation, and offers high sensitivity for quality control purposes.</p>
Bibliographie égyptologique d'Auguste Mariette
<p>Ces fichiers rassemblent les références des publications égyptologiques d'Auguste Mariette.</p> <p>Ces données sont aussi disponibles sous la forme d'une <a href="https://www.zotero.org/groups/5545697/bibliographie_gyptologique_dauguste_mariette/library" target="_blank" rel="noopener">bibliothèque partagée Zotero</a>.</p> <p>La constitution de ces fichiers est commentée sur le billet « <a href="https://hef.hypotheses.org/1838" target="_blank" rel="noopener">La bibliographie de Mariette</a> », <em>Histoire de l'égyptologie en formation</em>, 1er juillet 2024.</p>
A 3-D model of The Bear Trap: A unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland
<p>This dataset consists of five files. The .obj, .jpg., and .mtl files can be used to view a high-resolution 3D mesh model of ‘The Bear Trap’, a unique Norse ruin at the western end of the Nuussuaq Peninsula in NW Greenland (also called ‘Bjørnefælden’ in Danish, and ‘Putdlagssuaq’ or ‘The Great Trap’ Greenlandic Kalaallisut). The .laz file contains the dense cloud. The .avi shows a flyover video of the 3D model. The 3D model was created from 1686 photographs that were processed using Structure from Motion Multiview Stereo photogrammetry software (in this case Agisoft Metashape Pro v1.7; Linux Ubuntu). A 24.3 megapixel Sony a5100 APS-C mirrorless camera fitted with a 24 mm lens was used to acquire ground-level imagery of the structure. The image alignment or bundle adjustment was performed using ‘High’ accuracy, a key point limit of 60000 and no tie point limit. The sparse point cloud was scaled using three markers with known dimensions that were placed in the area of interest, and which remained stationary throughout the entire photo survey. The dense point cloud was computed using the ‘High’ setting. The dense point cloud was then used to compute the mesh model using the ‘High’ setting. Instructions are provided in the readme file that accompanies this dataset. </p> <p>The image survey of the Bear Trap was conducted as part of the Vaigat Iceberg-Microbial Oil Degradation and Archaeological Heritage Investigation (VIMOA) project, which was funded by the Danish Centre for Marine Research and supported by the Arctic Research Centre at Aarhus University, the National Museum of Denmark, the Greenland Institute of Natural Resources, and The Greenland National Museum and Archives in Nuuk. Permits for the survey were obtained in advance from the Greenland National Museum and Archives in Nuuk. Walsh et al. (2020) provides an overview of the archaeological surveys conducted during the VIMOA project and Walsh et al. (submitted) provides further details specific to The Bear Trap and surrounding archaeological contexts. </p> <p>Walsh et al. (2020) The VIMOA project and archaeological heritage in the Nuussuaq Peninsula of north-west Greenland. <em>Antiquity</em> 94:e6 doi:10.15184/aqy.2019.230</p> <p>Walsh, Matthew J., Daniel F. Carlson, Pelle Tejsner, and Steffen Thomsen. The Bear Trap: Reinvestigating a unique stone structure on the northwest tip of the Nuussuaq Peninsula, Greenland. Manuscript submitted to <em>Arctic Anthropology</em></p>
Odour observations from Odourcollect app (D-NOSES)
<p>This is the anonymized dump (28 November 2021) of the OdourCollect tool from the D-NOSES project ( Grant Agreement No 789315. ). There are 10332 Odour Observations from volunteers, including type and subtype of odour.</p> <p>The OdourCollect tool is provide as web-page: <a href="https://odourcollect.eu/">https://odourcollect.eu/ </a>and as <a href="https://play.google.com/store/apps/details?id=es.nobone.manchesterwebapp&hl=en_US">android</a> and <a href="https://apps.apple.com/mx/app/odourcollect/id1457119732">iphone</a> apps.</p> <p>Find out more about the project in the main webpage: <a href="http://dnoses.eu">http://dnoses.eu</a></p>
L'Alpe d'Huez: a dataset to benchmark topographic map generalisation
<p>This dataset derives from the one used in a past EuroSDR benchmark (http://dx.doi.org/10.1016/j.compenvurbsys.2009.06.002), and should be used as a benchmark for topographic map generalisation techniques. It contains several topographic layers as shapefiles (roads, buildings, rivers, forests, contour lines...), a style description to display the data at the 1:50k scale, and a table of the generalisation constraints that should be respected in this 1:50k scale map.</p> <p>The initial data can considered as detailed for maps at the 1:15k scale. The projection of the data is "Lambert II Etendu", EPSG:27572.</p> <p>The area is 11*11 km large.</p>
Environment's Share in Total Government Budget Allocations for R&D
<p>Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities.</p> <p>GBARD data are compiled using the guidelines laid out in the OECD Guidelines for collecting and reporting data on research and experimental development - Frascati Manual, OECD, 2015 (See related identifiers). </p> <p>GBARD data are broken down by:</p> <p> - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budget.</p> <p>This dataset calculates the share of the Environment objective compared to the total allocations.</p> <p><br> The source (raw) dataset released by Eurostat: <a href="http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=gba_nabsfin07&lang=en">GBARD by socioeconomic objectives (NABS 2007)[gba_nabsfin07]</a></p>
Government Budget Allocations for R&D in Environment
<p>Government Budget Allocations for R&D (GBARD). GBARD data are measuring government support to research and development (R&D) activities, and thereby provide information about the priority Governments give to different public R&D funding activities.</p> <p>GBARD data are compiled using the guidelines laid out in the OECD Guidelines for collecting and reporting data on research and experimental development - Frascati Manual, OECD, 2015 (See related identifiers). </p> <p>GBARD data are broken down by:</p> <p> - Socio-economic objectives (SEOs) in accordance to the Nomenclature for the analysis and comparison of scientific programmes and budget. This dataset uses the Environment objective.<br> <br> The missing data are approximated, forecasted and backcasted by country. In our version of the dataset, 40% more countries, and a 23% larger dataset can be used for supervised and unsupervised learning models, such as machine learning, that require complete datasets compared to the source dataset released by Eurostat: <a href="http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=gba_nabsfin07&lang=en">GBARD by socioeconomic objectives (NABS 2007)[gba_nabsfin07]</a></p>
Covid-19 et Intention d'utiliser les chèques psycho par les étudiants : la prise en compte du contexte dans la théorie du comportement planifié
<p>Cette base de données est issue d’une enquête quantitative par questionnaire (nombre d’observations = 460, période : mars 2021). Elle est construite sur la base de la théorie du comportement planifié. La variable finale que le modèle cherche à expliquer (la variable dépendante) est l’intention d’utiliser les chèques psycho, dispositif proposé par le gouvernement français en février 2021, par les étudiants. Ces chèques permettent aux étudiants de bénéficier de 3 consultations auprès d’un psychologue conventionné, pour un montant total de 96 €.</p> <p>Les objectifs (et les utilisations possibles) de cette BDD sont autant orientés vers les besoins des acteurs (notamment ceux en charge de la mise en œuvre du dispositif « chèque psycho » pour les étudiants ou de dispositifs similaires) que des chercheurs.</p> <p>L’objectif opérationnel est de mesurer (statistiques descriptives) et de comprendre (statistiques explicatives) les facteurs qui conduisent des étudiants à envisager d’utiliser ce dispositif ; et donc à pouvoir comprendre comment agir pour optimiser cette utilisation. L’extension récente (juin 2021) de ce dispositif aux enfants et adolescents de 3 à 17 ans (dispositif « PsyEnfantAdo ») induit un deuxième objectif opérationnel : la possibilité pour les acteurs en charge de ce nouveau dispositif de s’inspirer de la méthodologie présentée dans cette base pour piloter au mieux ce projet.</p> <p>L’objectif théorique réside a) dans la prise en compte de l’impact d’un contexte (le vécu des étudiants durant la pandémie de la Covid-19 (t leur antécédents au niveau psychologique dans la théorie du comportement planifié (TCP) et b) dans la confirmation de la place de l’identité personnelle en tant que mesure alternative de l’intention comportementale (et non en tant que variable explicative de cette intention). Les chercheurs pourront également utiliser cette base dans des méta-analyses sur la TCP, la prise en compte du contexte dans la compréhension de l’intention comportementale et les impacts de la Covid-19.</p>
Hoppe-Droit - Élaborer un outil d'observation des productions pédagogiques en droit
<p>Le projet CollEx-Persée HOPPE-Droit visait l’élaboration d’un outil d’observation des productions pédagogiques en droit qui permettrait d’étudier, à partir d’un répertoire dynamique, les évolutions du droit français et de son enseignement depuis le XIXe siècle. Il est le fruit d’un partenariat entre la bibliothèque Cujas, le CERCRID et l’IRJS.</p> <p>Démarré en avril 2019, il s’est achevé en 2021 par la mise en production de l’outil de visualisation :<a href="https://bcujas-hoppe.univ-paris1.fr/"> https://bcujas-hoppe.univ-paris1.fr/</a></p> <p>Les données extraites du catalogue de la bibliothèque interuniversitaire Cujas (<a href="http://bcujas-catalogue.univ-paris1.fr">http://bcujas-catalogue.univ-paris1.fr</a>) concernent les « productions pédagogiques éditées » en droit francophone, sur une période courant de la réouverture des facultés de droit en 1804 jusqu’à la réforme de la licence en 1954.</p> <p>Le rapport scientifique de ce projet est disponible à l’adresse suivante : <a href="https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf">https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf</a></p> <p>Les données bibliographiques brutes extraites du catalogue Cujas ont fait l’objet d’opérations de tri, de dédoublonnage et d’enrichissements (indice de plan de classement, normalisation…) avant d’être importées dans une base Heurist structurée en 4 entités majeures : production pédagogique, auteur, éditeur, collection (les données de cette dernière sont en cours de traitement au 31/1/2022).</p> <p>La dernière étape de ce projet a été la mise en ligne d’un <a href="https://zenodo.org/record/5930198#.YffxE_jjKUl">outil de visualisation</a> développé en collaboration avec la société Ouestware.</p> <p>Les 3 jeux de données proposés au format csv sont issus de la base Heurist : productions pédagogiques (3348 items), auteurs (1180 items), éditeurs (207 items). Est également disponible au format xml l’export total de la base Heurist (algo_hoppe). Une version 2 enrichie des données de l’entité Collection viendra compléter ce dépôt courant 2022.</p> <p>Un plan de gestion des données sera également disponible au premier trimestre 2022 sur le site DMP-OPIdOR</p> <p>Les jeux de données sont encodés en UTF-8, au format CSV compatible avec les tableurs tels que ceux des suites LibreOffice, OpenOffice et Microsoft (après importation des données).</p> <p><em>In English</em></p> <p><em>The aim of the CollEx-Persée HOPPE-Droit project was to develop a tool for observing pedagogical productions in law that would allow the study, from a dynamic repertoire, of the evolution of French law and its teaching since the 19th century. It was the result of a partnership between the Cujas library, CERCRID and IRJS.</em></p> <p><em>Beginning in April 2019, it was completed in 2021 with the production of the visualization tool: <a href="http://bcujas-hoppe.univ-paris1.fr/">https://bcujas-hoppe.univ-paris1.fr/</a></em></p> <p><em>The data extracted from the catalog of the Cujas Inter-University Library (<a href="http://bcujas-catalogue.univ-paris1.fr">http://bcujas-catalogue.univ-paris1.fr</a>) concerns "published educational productions" in French-speaking law, over a period running from the reopening of law schools in 1804 until the reform of the license in 1954.</em></p> <p><em>The scientific report of this project is available at the following address: <a href="https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf">https://www.collexpersee.eu/wp-content/uploads/2021/07/Rapport_scientifique-HOPPE.pdf</a></em></p> <p><em>The raw bibliographic data extracted from the Cujas catalog was sorted, deduplicated and enriched (classification plan index, normalization...) before being imported into a Heurist database structured in four major entities: educational production, author, publisher, collection (the data for the latter are being processed as of 31/1/2022).</em></p> <p><em>The last step of this project was the putting online of a <a href="https://zenodo.org/record/5930198#.YffxE_jjKUl">visualization tool</a> developed in collaboration with the company Ouestware.</em></p> <p><em>The three datasets proposed in csv format come from the Heurist database: educational productions (3348 items), authors (1180 items), publishers (207 items). The total export of the Heurist database (algo_hoppe) is also available in xml format. A version two enriched with the data of the collection entity will complete this repository during 2022.</em></p> <p><em>A data management plan will also be available in the first quarter of 2022 on the DMP-OPIdOR site</em></p> <p><em>The datasets are encoded in UTF-8, in CSV format compatible with spreadsheet programs such as those of the LibreOffice, OpenOffice and Microsoft suites (after data import).</em></p>
Documentation and digital files in support of "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938–2021" by Carl Tape and Anthony Lomax: Parts B, C, and D
<p>These files support a manuscript to be submitted entitled "Aftershock regions of Aleutian–Alaska megathrust earthquakes, 1938-2021," by Carl Tape and Anthony Lomax. This collection contains Parts B, C, and D. A separate collection contains Part A. This research was supported by the U.S. Geological Survey (USGS), Department of the Interior, under USGS award number G19AP00050.</p>
LLoguer d'habitatges vallès occidental
<p>Dataset de les dades recollides a la web habitaclia.com, on es recull les principals característiques dels habitatges que s'oferten per lloguer</p>
Sèries històriques d'indicadors socio-econòmics per països.
<p>A partir de les dades dels diferents indicadors de la web datosmacro.com, es proposa crear un dataset que reculli, de manera unificada, tots els indicadors de tots els països desglossats per sèries temporals. D'aquesta manera cada registre del dataset contindrà:</p> <ul> <li>dos camps, que posen en context temporal i geogràfic (país i mes-any), i</li> <li>la resta de camps del dataset, on figurarien els respectius valors dels indicadors.</li> </ul> <p>Amb el dataset generat es podrien realitzar anàlisis, comparatives i estudis de correlació entre els diferents indicadors, que no seria possible realitzar a través de la web.</p>
INFO-CSO (PSR Emilia-Romagna) - Indagine sull'intenzione d'uso dell'App
<p>Dati del questionario agli ortofrutticoltori per valutare l'intenzione d'uso dell'App</p> <p>Dati Progetto: </p> <p>INFO-CSO Informazione fruibile per lo sviluppo del sistema ortofrutticolo Regionale dell'Emilia Romagna</p> <p><a href="http://agricoltura.regione.emilia-romagna.it/psr-2014-2020/temi/tipi-di-operazioni/16-1-01-gruppi-operativi-del-partenariato-europeo-per-la-produttivita-e-la-sostenibilita-dellagricoltura/bandi-e-documenti-utili/Bando-2018/bando-goi-2018">Deliberazione di Giunta regionale nr. 2144 del 10 dicembre 2018 </a></p> <p><strong>Focus Area: </strong>3.A - Migliorare la competitività dei produttori primari integrandoli meglio nella filiera agroalimentare attraverso i regimi di qualità, la creazione di un valore aggiunto per i prodotti agricoli, la promozione dei prodotti nei mercati locali, le filiere corte, le associazioni e organizzazioni di produttori e le organizzazioni interprofessionali</p> <p><strong>Tipo di Operazione: 16.1.01 </strong> - Gruppi Operativi del PEI per la produttività e la sostenibilità dell'Agricoltura</p> <p><br> <strong>Id domanda: 5116697</strong><br> <strong>Finanziamento ricevuto</strong><strong>: </strong><strong>€ 31.522,22</strong></p> <p><br> <strong>Obiettivi e Finalità: </strong></p> <p>Supportare le imprese della regione Emilia-Romagna ad intraprendere un vero e proprio percorso di ammodernamento e crescita, mettendo a disposizione con modalità di accesso rapido ed in formato facilmente fruibile, dati ed informazioni sulla produzione e sul mercato dei principali prodotti ortofrutticoli al fine di rendere più competitive le aziende, consentendo loro di fare programmazione, e di mettere a punto strategie produttive, organizzative e commerciali più efficaci ed in linea con le esigenze del mercato e dei consumatori. Il servizio online proposto intende mette in contatto i produttori, gli operatori della filiera e gli acquirenti nella catena del valore dei prodotti ortofrutticoli freschi, offrendo loro visibilità e trasparenza. L'accesso ai dati in tempo reale potrà supportare tutti gli attori della filiera, consentendo loro di risparmiare tempo, rafforzare le relazioni, essere meglio informati e migliorare i processi decisionali.</p> <p><strong>Risultati attesi</strong>:</p> <p>I risultati attesi sono relativi all’applicazione delle informazioni identificate alle scelte imprenditoriali dei produttori ortofrutticoli dell’Emilia Romagna. CSO, tramite i suoi soci, copre circa il 50%% della produzione ortofrutticola regionale. Una corretta gestione imprenditoriale, tramite l’utilizzo di informazioni strutturate, può portare ad un aumento delle marginalità sufficiente a garantire la redditività di tutti gli attori della filiera. Inoltre, il presente piano avrà tra le applicazioni, la realizzazione di uno studio LCA che consentirà di dare agli agricoltori indicazioni sulle migliori tecnologie per la gestione ambientale, le quali se applicate, statisticamente consentono di ridurre il peso ambientale delle scelte agronomiche. Lo studio relativo alle certificazioni sociali ed etiche, consentirà di fornire un altro strumento per le scelte imprenditoriali, in quanto fornirà informazioni circa la percezione dei consumatori di tali certificazioni (GLOBALGAP-GASP, SA 8000).</p> <p> <strong>Referente scientifico: </strong>Canavari Maurizio</p>
3-D displacement field produced by the 1959 Hebgen Lake earthquake
<p>The dataset contains EW, NS and vertical displacement component associated with the 1959 Hebgen Lake earthquake. The displacement maps were calculated from the aerial images collected in 1947 (pre-earthquake) and 1977 (post-earthquake). </p>
DS.RFSAT.OBJECT-3D-SCANS
<p>This dataset contains the DS.RFSAT.OBJECT-3D-SCANS, as referred to in the <em>ARCH Data Management Plan</em> deliverable (D1.3).</p> <p>It contains SOLELY the 3D models produced by RFSAT Limited from aerial drone images captured by Hamburg City.</p> <p>Models processing was done using PIX4D v4 engine linked to from RFSAT autonomous scanning software (SWSCAN).</p> <p>Comparative models have been produced also with <a href="https://www.agisoft.com/">Agisoft Metashape</a> engine.</p> <p><strong>NOTE</strong>: this is a preliminary version with updated to be published shortly.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.