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46 results for “Cartography”
Audio Cartography
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Data Associated with Chemical Cartography with APOGEE: Two-process Parameters and Residual Abundances for 288,789 Stars from Data Release 17
<p>Stellar abundance measurements are subject to systematic errors that induce extra scatter and artificial correlations in elemental abundance patterns. We derive empirical calibration offsets to remove systematic trends with surface gravity log(g) in 17 elemental abundances of 288,789 evolved stars from the SDSS APOGEE survey. We fit these corrected abundances as the sum of a prompt process tracing core-collapse supernovae and a delayed process tracing Type Ia supernovae, thus recasting each star's measurements into the amplitudes A_cc and A_Ia and the element-by-element residuals from this two-parameter fit. Here we present the log(g)-calibrated abundances, fit parameters, process amplitudes, and element-by-element abundance residuals of 288,789 stars (310,427 spectra) in APOGEE DR17 that accompany <a href="https://arxiv.org/abs/2403.08067" target="_blank" rel="noopener">the paper</a>.</p> <p>calibration_values_final.dat contains all derived calibration offsets, including the grids of log(g) calibration offsets and zero-point offsets for two-process model analysis. The first five rows of this catalog are reproduced in Table 2 of the paper.</p> <p>logg_calib_example.ipynb is a Jupyter notebook containing Python code to load calibration_values_final.dat, extract the log(g) calibration offsets for specific element, and apply calibration offsets to 10 sample stars.</p> <p>2process_residual_abund_catalog_final.fits is the catalog of 310,427 APOGEE DR17 spectra (288,789 unique stars) containing calibrated abundances, two-process fit parameters, and abundance residuals. A full listing of columns in this catalog is given in Table 5 of the paper.</p> <p>catalog_examples.ipynb is a Jupyter notebook containing Python code to load 2process_residual_abund_catalog_final.fits, cross match with other catalogs (using AstroNN and the APOGEE DR17 Globular Cluster Value-Added Catalog as examples), and make some example plots utilizing the cross-matched data.</p>
Cartographie fine de la couverture de Macrocystis pyrifera sur l'archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020
<p>Cette donnée représente une cartographie fine de la couverture de Macrocystis pyrifera (MP) sur l’archipel de Kerguelen à partir d'images Sentinel-2 acquises en 2020. Etant donné la proximité de MP avec Durvilleae Antarctica (DA) (du point de vue de leur signature spectrale), les résultats intègrent aussi cette dernière.</p> <p>Les données d’Observation de la Terre utilisées sont les images satellitaires libres et gratuites Sentinel-2 (A et B). La chaîne de traitement mise en place est entièrement basée sur le langage R. Les téléchargements et prétraitements ont été effectués grâce à une librairie complète, sen2r, créée par Luigi Ranghetti (Ranghetti et al., 2020).<br>Les résultats de détection des algues brunes à partir de la chaîne sont proches de l’exhaustivité avec un Kappa global de 0.993. C’est l’indice du grNDVI de Wang et al. (2007) qui a été utilisé pour réaliser ces produits.</p> <p>Un produit final utilisable par un utilisateur n’ayant pas forcément été initié à la télédétection a été favorisé. Dans ce but une couche shapefile représentant la présence moyenne d’algue brune sur la zone (c.à.d. sur toute l’étendue temporelle disponible) est ici mise à disposition.</p> <p>Cette donnée a été réalisée dans le cadre du stage de master2 d'Alexis Pré co-encadré par l'UMR Espace-Dev à la station SEAS-OI et le service SIG des Terres Australes et Antarctiques Françaises.</p> <p>Wang, F. M., Huang, J. F., Tang, Y. L., & Wang, X. Z. (2007). New vegetation index and its application in estimating leaf area index of rice. <em>Rice Science</em>, <em>14</em>(3), 195-203.</p> <p>Ranghetti, L., Boschetti, M., Nutini, F., & Busetto, L. (2020). “sen2r”: An R toolbox for automatically downloading and preprocessing Sentinel-2 satellite data. <em>Computers & Geosciences</em>, <em>139</em>, 104473.</p>
Organizing the fragmented landscape of multidisciplinary product development: A mapping of approaches, processes, methods and tools from the scientific literature - Searchable cartographies
<p>This document gathers cartographies for the development of mechatronic products, cyber-physical systems and smart products. The three cartographies presented are associated with an open-access article – see the citation box below – and differ from the ones provided in the article in that they are searchable, which makes it easier to pinpoint references, concepts and techniques. This document comprises a legend, the cartographies and a list of associated references. </p> <p>To contextualize the cartographies, the integration of digital and connectivity technologies in new products can invite companies to adapt their development. Organizing the fragmented landscape of multidisciplinary product development to help companies navigate the dense scientific literature corpus is a first step in supporting them in doing so. Multidisciplinary product development can be investigated by analyzing specific types of products that deal with both software and hardware development and can be referred to as cyber-physical systems, mechatronics, and smart products and systems in the literature. To support their development, 236 “concepts and techniques” (an expression that encompasses approaches, processes, methods and tools) were identified from 167 scientific papers through an extensive literature review and organized based on a four-level model paired with a decision tree. The mapping of the sorted concepts and techniques made it possible to generate graphical representations called “cartographies.” These cartographies represent a database of concepts and techniques for multidisciplinary product development and serve to support companies in their transformation from the product development perspective by providing them with a general overview of the related literature.</p>
Dataset for "Detailed cartography of Cotopaxi's 1877 primary lahar deposits obtained by drone-imagery and field surveys in the proximal northern drainage"
<p>Contains the following datasets supporting the results in "Detailed cartography of Cotopaxi’s 1877 primary lahar deposits obtained by drone-imagery and field surveys in the proximal northern drainage": 1) Drone-NDVI 25cm/pixel imagery for the four surveyed plains. 2) Geospatial vector layer for the geological fieldwork control points. 3) Geospatial vector layer for the 1877 deposit contact lines. 4) Geospatial vector layer for the 1877 deposit polygons.</p>
Supporting data for: "Diaphysator: an online application for the exhaustive cartography and user-friendly statistical analysis of long bone diaphyses"
<p>Example of dataset to be used with the R-shiny application “Diaphysator”, composed of right tibiae and femora.</p> <p>These data file have been published in: Lacoste Jeanson, A., Santos, F., Villa, C., Banner, J., & Bruzek, J. (2018). Architecture of the femoral and tibial diaphyses in relation to body mass and composition: Research from whole-body CT. <em>American Journal of Physical Anthropology</em>, 167, 813– 826. doi: <a href="https://onlinelibrary.wiley.com/doi/abs/10.1002/ajpa.23713">10.1002/ajpa.23713</a></p> <p>This zip file contains:</p> <ul> <li>an “Information file” in CSV format</li> <li>various data files for human femora and tibiae in CSV format</li> </ul> <p>For all CSV files, the field separator is the comma “,” and the character used for decimal points is the dot “.”</p>
DONNEES - Stage Cartographie des risques sismiques
<p>FRANCAIS</p> <p>Cet entrepôt contient les données (shapefile, vidéos) utilisées lors d'un stage sur la cartographie des risques sismiques. Le reste des documents est disponible ici : https://github.com/berenice-lm/stage-M2-Cartographie-des-risques-sismiques.git </p> <p>Le projet consiste à créer une carte interactive et multi-échelle lisible pour les sapeurs-pompiers à partir de données de tremblements de terre estimées par le BRGM. L'objectif est de fournir très rapidement aux gestionnaires de risque une carte qui puisse les aider à agir efficacement sur le terrain, en attendant le retour des données de terrain.</p> <p>Le stage avait pour objectif principal de recueillir les besoins des sapeurs-pompiers (ateliers, entretiens, etc.) en matière de cartographie. Une phase de création de carte s'est ensuivie, avec une attention particulière portée à la généralisation cartographique (comment adapter les données à chaque échelle pour rendre la carte lisible) afin d’éviter de désorienter les utilisateurs, ce qui pourrait être d’autant plus préjudiciable dans une situation nécessitant une réaction rapide. Une phase d'évaluation de la carte, à l'aide d'un eye-tracker pour suivre le regard des utilisateurs, a ensuite permis de déterminer si la carte proposée correspondait à leurs attentes.</p> <p>La suite du stage consisterait à automatiser la création de ce type de carte pour produire en quelques minutes un outil puissant pour les sapeurs-pompiers.</p> <p>ENGLISH</p> <p>This repository contains the data (shapefile, videos) used during an internship on seismic risk mapping. You can check the rest of the documents here : https://github.com/berenice-lm/stage-M2-Cartographie-des-risques-sismiques.git</p> <p>The project involves creating a readable, interactive, multi-scale map for firefighters, based on earthquake data estimated by the BRGM. The objective is to quickly provide risk managers with a map that can help them act effectively in the field while awaiting the return of on-site data.</p> <p>The primary goal of the internship was to gather the firefighters' cartographic needs (workshops, interviews, etc.). This was followed by a map creation phase, with special attention given to cartographic generalization (how to adapt the data at each scale to make the map readable) to avoid disorienting users, which could be especially detrimental in a situation requiring rapid response. A map evaluation phase, using an eye-tracker to monitor users' gaze, then allowed us to determine whether the proposed map met their expectations.</p> <p>The next step of the internship would be to automate the creation of this type of map to produce a powerful tool for firefighters in just a few minutes.</p>
FIG. 5. — Cartographie connue d in Découverte d'Allium cyrilli Ten. et actualisation de la section Melanocrommyum Webb & Berthel. (Amaryllidaceae) en Algérie et au Maghreb
FIG. 5. — Cartographie connue d'Allium cyrilli Ten. en Algérie et au Maghreb: observations postérieures à 2002 (présent travail).
Towards Green Cartography & Visualization: An automated, semantically-enriched method of generating energy-aware color schemes for digital maps and visualizations
<p>Towards Green Cartography & Visualization: An automated, semantically-enriched method of generating energy-aware color schemes for digital maps and visualizations</p>
Cartographie des indicateurs SCD UPPA
<p>Cette cartographie a vocation à doter le pilotage du SCD de l'UPPA d'une vision d'ensemble et à optimiser la méthode de collecte et de production des indicateurs.</p> <p>Elle répond notamment aux questions suivantes :</p> <ul> <li>Quelles sont les enquêtes récurrentes? Quelle est leur temporalité?</li> <li>Qui produit, qui collecte?</li> <li>Avec quelle méthode?</li> <li>Avec quel outil?</li> </ul> <p>C'est un outil qui est régulièrement mis à jour pour suivre l'évolution des différents indicateurs, qu'ils relèvent de l'ESGBU ou de l'activité des différents services internes du SCD.</p>
Structural Data for the Antibody Developability Manuscript: Cartography of Developability Landscapes in Native and Human-Engineered Antibodies
<p>Here is the additional structural data (predicted models and MD trajectories) for the "Cartography of the Developability Landscapes of Native and Human-Engineered Antibodies" manuscript. Please cite our paper when referring to and using this data. If you have any questions, please contact Eva Smorodina at ribes.ev@gmail.com. Thank you!</p>
Molecular Cartography of candidate leaf vein patterning regulators in shoot apices of maize
<p>Molecular Cartography data generated using the platform proprietary of Resolve BioSciences GmbH. This dataset constitute the supporting information of the following manuscripts: "The WIP6 transcription factor <em>TOO MANY LATERALS</em> specifies vein type in C<sub>4</sub> and C<sub>3</sub> grass leaves" (Vlad et al. https://doi.org/10.1101/2023.12.20.572592), "Spatial transcriptomics reveals distinct lineage identities for major and minor vein initiation during maize leaf development" (Perico et al. https://doi.org/10.1101/2024.02.05.578898).</p> <p>The dataset is constituted of six samples and is structured as follows:</p> <p>1) Images.zip: contains Calcofluor White and DAPI .tiff images used for cell segmentation.</p> <p>2) Cell outlines.zip: contains the zip file of all segmented cells (ROIs) in all analysed samples. </p> <p>3) Raw data.zip: contains all raw data (in .txt format) of the spatial transcriptomics fluorescent signal.</p> <p>Files that refer to the same samples are labelled the same across all folders. The sample names are: E1B2, E1D2, S1A1, S1A2, S1B1, S1B2.</p>
Cartographie de l'occupation du sol de la Région de la Mé en 2016, 2019 et 2022
<p>Cartographie de la dynamique des affectations des terres (2016-2019-2022) dans la Région de la Mé basée sur le traitement par classification supervisée (méthode Random Forest) des images Sentinel-2A.<br> L'UMC adoptée pour produire les différentes cartes est de 0,1 ha conformément au nouveau code forestier de Côte d'Ivoire qui fixe la superficie minimale des forêts à 0,1 ha.</p>
Cartographie de l'occupation du sol de la Région de la Mé en 2016, 2019, 2022
<p>Cartographie de la dynamique des affectations des terres (2016-2019-2022) dans la Région de la Mé basée sur le traitement par classification supervisée (méthode Random Forest) des images Sentinel-2A.<br> L'UMC adoptée pour produire les différentes cartes est de 0,1 ha conformément au nouveau code forestier de Côte d'Ivoire qui fixe la superficie minimale des forêts à 0,1 ha.</p>
Efficacy Assessment of a Novel 3D Cartography-based Targeted Focal Microwave Therapy in Men With Localized Intermediate-risk Prostate Cancer
ClinicalTrials.gov study NCT04582656. IPD Sharing: NO. Countries: 2. Publications: 0.
Cartography of Virologic Reservoir Related to Antiretroviral Concentrations in HIV-1 Chronic Patients Treated by a First Line Treatment Containing Dolutegravir and Associated Nucleoside / Nucleotide R
ClinicalTrials.gov study NCT04133012. IPD Sharing: NO. Countries: 1. Publications: 0.
Epileptogenic Zone's Cartography by Quantification of EEG's Signal and Intracerebral Stimulation.
ClinicalTrials.gov study NCT02844374. IPD Sharing: Not stated. Countries: 1. Publications: 34.
Figure 5 from: Domina G, Venturella G, Gargano ML (2018) Synthetic cartography for mapping biodiversity in the Mediterranean region: Sicily as a case study. PhytoKeys 109: 77-92. https://doi.org/10.3897/phytokeys.109.28297
Figure 5 Projection on the sub-units of the loci classici of the Italian endemics described from Siciliy (Brundu et al. 2017).
Figure 1 from: Domina G, Venturella G, Gargano ML (2018) Synthetic cartography for mapping biodiversity in the Mediterranean region: Sicily as a case study. PhytoKeys 109: 77-92. https://doi.org/10.3897/phytokeys.109.28297
Figure 1 Matrix in numerical and graphical form with the data attributes and variables relative to the elementary spatial subunits.
FIG. 6. — Cartographie connue d in Découverte d'Allium cyrilli Ten. et actualisation de la section Melanocrommyum Webb & Berthel. (Amaryllidaceae) en Algérie et au Maghreb
FIG. 6. — Cartographie connue d'Allium nigrum L. en Algérie et au Maghreb. ●, observations historiques antérieures à 1962 (herbiers P et MPU). ●, observations récentes postérieures à 2002 (présent travail).
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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.