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Dataset results
19 results for “LES data”
Water chemistry and aquatic vegetation data from Les Cheneaux Islands, Northern Lake Huron, Michigan, USA, 2016-2018
Remote sensing approaches that could identify species of submerged aquatic vegetation (SAV) and measure their extent in lake littoral zones would greatly enhance their study and management, especially if they can provide faster or more accurate results than traditional field methods. Remote sensing with multispectral sensors can provide this capability, but SAV identification with this technology must address the challenges of light extinction in aquatic environments where chlorophyll, dissolved organic carbon, and suspended minerals can affect water clarity and the strength of the sensed light signal. Here, we present environmental data collected to support a study using an unmanned aerial system (UAS)-enabled methodology to identify the extent of the invasive SAV species Myriophyllum spicatum (Eurasian watermilfoil, or EWM) in the Les Cheneaux Islands area of northwestern Lake Huron, Michigan, USA. Data collected includes water chemistry (nitrogen, phosphorus, carbon, suspended solids, chlorophyll a), light profiles, and submerged aquatic vegetation characteristics including cover, species dominance using aquatic vegetation survey methods (AVAS), and biomass.
Data for 'Rapport de données sur les enquêtes menées entre 2009 et 2020'
<p>Data (all_data.csv) and R analyses code for the findings in the ‘Rapport de données sur les enquêtes menées entre 2009 et 2020’. Updated version also includes HTML file descriptive analysis code embedded and the corresponding output.</p>
Online supplementary data linked to the publication "Aubenas-les-Alpes (S-E France). Part III – Last and final part of the mammalian assemblage with some comments on the palaeoenvironment and palaeobiogeography" doi:10.1016/j.annpal.2019.03.001
<p>Online supplementary appendix including the list of Oligocene localities and associated faunal lists compared to Aubenas-les-Alpes, and the size estimation of the non-predatory species for the construction of Fig.10.</p>
Les Data Lakes comme Approche d'Organisation de l'Information
<p>Dans cette présentation, nous faisons le tour des méthodes d'organisation et de stockage de l'information depuis la bibliothèque (antiquité) au tout récent <em>Data Lake</em>. </p>
DALES LES data for GABLS1 (only ninth hour), ASTEX, and slow and fast strato-cumulus cases
<p>These files contain DALES LES data for:</p> <p>GABLS1 (only ninth hour) in GABLS1_LES.dat (ascii file, explanation in header)</p> <p>ASTEX profiles in dales_profiles.nc (netcdf and information in header)</p> <p>slow and fast strato-cumulus cases in vddussen_profiles* (netcdf and information in header)</p>
Linked collectors and determiners for: Liste de quelques espèces provenant des données mobilisées dans les institutions étrangères (Naturalis Biodiversity Center Data).
Natural history specimen data linked to collectors and determiners held within, "Liste de quelques espèces provenant des données mobilisées dans les institutions étrangères (Naturalis Biodiversity Center Data)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15">https://bionomia.net/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15">https://gbif.org/dataset/f1f71b62-12c3-4d76-8b7f-2234153b8f15</a>. Formatted as a Frictionless Data package.
Perspectives de linguistique de corpus sur les formations superlatives latines (-ISSIMUS) dans l'histoire du français - Research data
<p><span>In this article, we analyze the development of the Latin suffix -<span>issimus</span> and its French equivalent -<em>issime</em> from a corpus linguistic perspective. For this purpose, we define three different periods in the history of the French language in the <em>Frantext</em> corpus and examine the frequency of -<em>issime</em>. By investigating Old and Middle French, Pre-classical and Classical French, as well as Modern French, we can show that there is a continuous increase in forms ending on -<em>issime</em>. However, the results also show that the increased use of these forms is mainly limited to some adjectives (such as <em>sérénissime</em> etc.). In addition, the findings underline the fact that the superlative forms on -<em>issime</em> (mainly as neologisms) are increasingly appearing in fictional writings nowadays, where they are used in a playful or ironic way.</span></p>
LES_data_With_and_Without_Evaporation
<p>LES simulation dataset for the cases:</p> <ol> <li>Oscillating wind stress with heat flux and evaporation included.</li> <li>Oscillating wind stress with heat flux without evaporation.</li> </ol>
LES data presented in "The role of passive cloud volumes in the transition from shallow to deep atmospheric convection"
<p>This repository contains the LES data presented in the manuscript entitled "The role of passive cloud volumes in the transition from shallow to deep atmospheric convection" by C.V. Vraciu, I.L. Kruse, J.O. Haerter, submitted to the Geophysical Research Letters.</p>
Le Journal of Open Humanities Data (JOHD) : enjeux et défis dans la publication de data papers pour les sciences humaines et sociales (SHS)
<p>This repository hosts the pre-print version of the paper and the data used for the following publication:</p> <p>Marongiu, Paola; Pedrazzini, Nilo; Ribary, Marton; McGillivray, Barbara (forthcoming). "<strong>Le <em>Journal of Open Humanities Data</em> (<em>JOHD</em>) : enjeux et défis dans la publication de <em>data papers</em> pour les sciences humaines et sociales (SHS)</strong>". In Schopfel, Joachim and Kosmopoulos, Christine (eds.) Publier, partager, réutiliser les données de la recherche: les data papers et leurs enjeux. Lille: Presses Universitaires du Septentrion.</p> <p>The file "johd_publications.xlsx" contains the data used for the section "Publier des<em> data papers</em> pour les SHS : l’expérience du<em> JOHD</em>". This includes all relevant information about the papers published by the Journal of Open Humanities data. The title of the published paper; the DOI; the date of publication; the special collection in which the paper was published (if any); the keywords associated with the paper; the names of the authors.</p> <p>The zip folder "datapapers_catalyseurs.zip" contains the data used for the section "Les <em>data papers</em> : des catalyseurs de la réutilisation des données ?". This includes information about the papers published by the Journal of Open Humanities data and their corresponding datasets (downloads, views, tweets, citations and Altmetric).</p>
CFD Modeling Results and Related Data and Codes for Plotting of "A Mesoscale-to-LES Modeling of Tornado-like Vortex and Associated Local Strong Winds in Urban Area"
<p>The CFD modeling outputs, derived maximum wind fields in the analysis area, the topography data, the Python codes used to produce the figures, as we as the namelist of WRF simulation are available. The CFD modeling outputs are in binary format. The ctl. files of corresponding binary data (or dataset if ordered chronologically) are available in each directory (named after each experiment in our study).</p>
Data for "Cloud thinning in the mixed-phase regime as geoengineering concept" : Satellite data, ICON-LES simulations, and ECHAM-HAM simulations
<p><br> This repository contains:</p> <p>- Satellite product combination: Used to evaluate the cloud radiative effect of mixed-phase regime clouds.</p> <p>- ICON-LES simulations: Mixed-phase stratocumulus deck during M-PACE simulated with artificial droplet freezing.<br> - ref: reference.<br> - 0P1Nd:1% per hour<br> - 0P01Nd:0.1% per hour<br> - 0P001Nd:0.01% per hour</p> <p>- ECHAM-HAM 2-year simulations: Different scenarios with enhanced droplet freezing and with seeding concentrations of dust ice-nucleating particles.<br> - ori: reference<br> - ABS_1e4: 1e1 per Liter<br> - ABS_1e8: 1e5 per Liter<br> - CDNCx1e_7: 1e-4% per hour<br> - CDNCx1e_0 : 1e3% per hour</p> <p>- ECHAM-HAM 25-year simulations of Mixed-phase regime Cloud Thinning (MCT) including a mixed-layer ocean.<br> - ori: reference<br> - CDNCx1e_3: SEED simulation</p>
Output Data from the CLASS model, the CLASS-L model, and the LES.
<p>These data sets are for the work documented in Modifications to the CLASS Boundary Layer Model for Improved Interaction between the Mixed Layer and Clouds (https://doi.org/10.1029/2023MS004202).</p> <p>Please download these data first to run "Plotcode_Open.m" available at https://doi.org/10.5281/zenodo.11186607.</p>
Data from: High-resolution forest mapping for behavioural studies in the nature reserve ‘Les Nouragues’, French Guiana
Open the record for dataset details and reuse information.
GABLS4 LES and SCM data
<p>SCM and LES data for the GALBS4 case (netcdf files)</p>
Output data and namelist - README file of "Evolution of squall line variability and error growth in an ensemble of LES'
<p>See README.txt</p>
Data and software for "Multi-scale variability of turbulent mixing during a Monsoon Intraseasonal Oscillation in the Bay of Bengal: an LES study"
<p>LES data outputs</p>
Designing Data-Driven Battery Prognostic Approaches for Variable Loading Profiles: Some Lessons Learned
Among various approaches for implementing prognostic algorithms data-driven algorithms are popular in the industry due to their intuitive nature and relatively fast developmental cycle. However, no matter how easy it may seem, there are several pitfalls that one must watch out for while developing a data-driven prognostic algorithm. One such pitfall is the uncertainty inherent in the system. At each processing step uncertainties get compounded and can grow beyond control in predictions if not carefully managed during the various steps of the algorithms. This paper presents analysis from our preliminary development of data- driven algorithm for predicting end of discharge of Li-ion batteries using constant load experiment data and challenges faced when applying these algorithms to randomized variable loading profile as is the case in realistic applications. Lessons learned during the development phase are presented.
Optically Stimulated Luminescence data from archaeological site Les Auzières (France)
<p>This dataset includes data from OSL dating of 6 samples from the archaeological site of Les Auzières (France) performed at IRAMAT-CRP2A (UMR5060, Université Bordeaux Montaigne, CNRS, Pessac France) for Nicolas Frerebeau and Jean-Baptiste Fourvel (CNRS).</p>
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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.