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37 results for “PISA”
Interview to Giuseppe Attardi by Carlo Montengero about CMM (Pisa, 27 Nov 2021)
<p>Interview to Giuseppe Attardi by Carlo Montangero about <a href="https://www.wikidata.org/wiki/Q109375562">Customisable Memory Manager</a> - conservative garbage collector for C++ developed for PoSSo (Polynomial System Solver) project (Pisa, 27 Nov 2021).</p> <p> </p> <p>Source code available at <a href="https://archive.softwareheritage.org/swh:1:dir:557869d98df80317f2d7835460388cfc41414aa5;origin=https://github.com/Unipisa/CMM;visit=swh:1:snp:9dabc2692c9a6032b81f31676af04a487d95ebb3;anchor=swh:1:rev:c0f12bb6f3ea8f1350371695b42990a5c2eb93f2">Software Heritage Archive</a>.</p> <p><a href="https://github.com/Unipisa/CMM-Workbench/blob/04fb81752a5fa80376be61107c6ce66eb396182b/additional-materials/newItems/interview_transcription.md">Tentative transcription here</a>.</p> <p> </p>
Fig. 1 in Short communication Petrochirus sp. (Anomura, Paguroidea, Diogenidae) from the early Pleistocene of the Podere dell'Infrascato, Volterra (Pisa, Tuscany, central Italy)
Fig. 1 - Petrochirus sp., MSNM i28478, left cheliped; early Pleistocene of the Podere dell'Infrascato, Volterra (Tuscany, Italy) (× 2).
Linked collectors and determiners for: Herbarium Horti Botanici Pisani (PI), Sistema Museale di Ateneo, Università di Pisa.
Natural history specimen data linked to collectors and determiners held within, "Herbarium Horti Botanici Pisani (PI), Sistema Museale di Ateneo, Università di Pisa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1e98cc26-065e-40ca-9c57-20fa0a2f4981">https://bionomia.net/dataset/1e98cc26-065e-40ca-9c57-20fa0a2f4981</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1e98cc26-065e-40ca-9c57-20fa0a2f4981">https://gbif.org/dataset/1e98cc26-065e-40ca-9c57-20fa0a2f4981</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Microbiology Lab IBBA Pisa Collection of Fungi (IBBA-MLIP-FUNGI).
Natural history specimen data linked to collectors and determiners held within, "Microbiology Lab IBBA Pisa Collection of Fungi (IBBA-MLIP-FUNGI)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b671bcf9-201f-4b3a-844d-fafb504162a7">https://bionomia.net/dataset/b671bcf9-201f-4b3a-844d-fafb504162a7</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b671bcf9-201f-4b3a-844d-fafb504162a7">https://gbif.org/dataset/b671bcf9-201f-4b3a-844d-fafb504162a7</a>. Formatted as a Frictionless Data package.
DATA7: A dataset that uses synthetic trajectories of vehicles and real cellular tower locations to simulate the workload of Edge nodes in the city of Pisa
<p><strong>Description</strong></p> <p>The dataset contains observations of vehicles in the range of edge nodes (cellular towers). The trajectories of vehicles are synthetically generated with <a href="https://www.eclipse.org/sumo/">SUMO</a>. The cellular tower positions have been taken from <a href="https://opencellid.org/">OpenCelliD</a>. The dataset is in the comma-separated values (CSV) format, and is around 220MB decompressed.</p> <p><br> The CSV contains the following fields:<br> * edge_id: unique identifier of the edge devices<br> * edge_lat: latitude coordinate of the edge device<br> * edge_lon: longitude coordinate of the edge device<br> * time: simulation step of the observation<br> * vehicle_id: unique identifier of the vehicle<br> * vehicle_lat: latitude coordinate of the vehicle<br> * vehicle_lon: longitude coordinate of the vehicle<br> * distance: geodesic distance in meters from the vehicle and the edge device</p>
Módulo I: teorías de la lectura y niveles de comprensión, mandatos PISA 2018-2022
<p>Planificación de contenidos preliminares, módulo de diplomado, diseño y validación para posible maestría en lectura,para profesores de Bolivia, diseñado por Claudia Vaca.</p> <p>Diseño para el Observatorio de Educación de la Universidad Mayor de San Andrés (UMSA), coordinado por Victor Hugo Quitanilla.</p>
Door segment - Cattedrale di Pisa
A segment of the front door of the Cattedrale di Pisa in Pisa, Italy. Scan taken using realityscan on an iphone 12 pro. Source: Objaverse 1.0 / Sketchfab
Puerta de la Catedral de Pisa, Italia.
Fragmento de una de las puertas delanteras de la catedral de Santa María Asunta en Pisa, en el centro de la Piazza dei Miracoli. Estas puertas son obra del taller de Giambologna. Fragment of one of the front doors of the Cathedral of Santa María Asunta (Pisa), in the center of Piazza dei Miracoli. These doors are the work of the workshop of Giambologna. Source: Objaverse 1.0 / Sketchfab
Creación de Eva, Pisa, Italia.
Creación de Eva atribuido a Andrea Pisano (1334-1337), panel de marmol del Campanille de la Catedral de Florencia. Actualmente en el Museo dell' Opera del Duomo, Florencia. Creation of Eva attributed to Andrea Pisano (1334-1337), marble panel of the Campanille of the Cathedral of Florence. Currently in the Museo dell 'Opera del Duomo, Florence. https://www.bluffton.edu/homepages/facstaff/sullivanm/italy/florence/duomomuseo/reliefscampanile.html Source: Objaverse 1.0 / Sketchfab
Leaning Tower of Pisa
Low Quality model for the Leaning Tower of Pisa, Italy Source: Objaverse 1.0 / Sketchfab
La Torre de Pisa
La Torre de Pisa o torre inclinada, es la torre campanario de la catedral de Pisa. Se encuentra en la plaza del Duomo en la ciudad del mismo nombre, dentro de la región italiana de la Toscana. Es uno de los grandes atractivos turísticos románicos más visitados de Italia, y uno de los símbolos más emblemáticos del país. La figura 3D se ha realizado gracias a la App Polycam, con un iPhone 13 Pro, y luz natural. No se ha utilizado ninguna luz artificial para realizar las fotografías. Al crearse la figura se ha realizado un recorte de la figura "Crop" de la base con la App. Se han hecho algunas ediciones referente a los ajustes de brillo y contraste. Además del "Background" y el "Tone Mapping" en Sketchfab. Finalmente se ha dejado parte de la base, considerandola correcta para la figura, como si fuera el suelo donde se establece. Source: Objaverse 1.0 / Sketchfab
Pose-estimated 3D data of infant spontaneous activity from Helsinki and Pisa
<p>This dataset contains pose-estimated 3D (and 2D proxy) data as well as trained models for generating infant Kinetic Age, collected from research trials in Helsinki and Pisa. The dataset is organized into separate archives for metadata, data streams, trained models, and predictions. Below is a detailed breakdown of the dataset contents:</p> <p><strong>Metadata</strong></p> <ul> <li><em>metadata/combined.csv</em><br> - test_id: Unique identifier for each infant.<br> - corrected_age: Corrected age of the infant in days.<br> - outcome: Neurodevelopmental outcome labels (0 typical, 1 weak impairment, 2 MNI).</li> </ul> <p><strong>Data</strong></p> <ul> <li><em>data/features.csv</em><br> - Handcrafted movement features computed for each, by experts annotated, useful video segment.</li> <li><em>data/streams/combined/*.feather</em><br> - 3D recording segment, with 18 J, B, V, A streams over 600 time steps.</li> <li><em>data/streams_2d/combined/*.feather </em><br> - 2D recording segment, with 18 J, B, V, A streams over 600 time steps.</li> </ul> <p><strong>Results</strong></p> <ul> <li><em>results/model/fold_n/...</em><br> - train_predictions.npy: Predictions made on the training set.<br> - val_predictions.npy: Predictions made on the validation set.<br> - best_model.ckpt: Checkpoint file containing the saved model weights.<br> - metadata.json: Metadata describing the fold, including training parameters and validation segments.<br> - scatter_*.png: Regression results.</li> </ul> <p><strong>Predictions</strong></p> <ul> <li><em>predictions/jb-aagcn-coord-xy_predictions.csv</em><br> - Model predictions for the 2D model on MNI samples.</li> <li><em>predictions/jb-aagcn-coord_predictions.csv</em><br> - Model predictions for the 3D model on MNI samples.</li> </ul>
Portion of Pisa Cathedral wall
Portion of Pisa Cathedral wall - Pisa - Italy Source: Objaverse 1.0 / Sketchfab
TRANSCRANIAL DIRECT CURRENT STIMULATION (t-DCS) AS ADD-ON TO NEUROREHABILITATION OF PISA SYNDROME IN PARKINSON DISEASE
ClinicalTrials.gov study NCT04620863. IPD Sharing: NO. Countries: 1. Publications: 19.
Physiological Study of the Human CYP3A Activity (PiSA)
ClinicalTrials.gov study NCT03204578. IPD Sharing: NO. Countries: 1. Publications: 1.
Supplementary material 1 from: Roma-Marzio F, Maccioni S, Dolci D, Astuti G, Magrini N, Pierotti F, Vangelisti R, Amadei L, Peruzzi L (2023) Digitization of the historical Herbarium of Michele Guadagno at Pisa (PI-GUAD). PhytoKeys 234: 107-125. https://doi.org/10.3897/phytokeys.234.109464
Supplementary data
BIOLGIYA FANLARINI O'QITISHDA PISA TEST VA TOPSHIRIQLARINI QO'LLASHNING SAMARADORLIGI
Open the record for dataset details and reuse information.
PISA ХАЛҚАРО БАХОЛАШ ТАДҚИҚОТИ "РАҚАМЛИ ДУНЁДА ЎРГАНИШ" КОНЦЕПЦИЯСИНИ АМАЛГА ОШИРИШ
Open the record for dataset details and reuse information.
PISA 2015 Database
<p>This is the database for students and schools in the PISA report in 2015.</p>
PISA 2018 Database
<p>This is the database for students and schools in the PISA report in 2018.</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.