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1,607 results for “art”
Abb. 1a-k in Tribu des brevipennes. Famille des aleochariens. Septieme branche: Myrmedoniaires. Annales de la Societe d'Agriculture Histoire Naturelle et Arts Utiles de Lyon (ser.
Abb. 1a-k: Trigonurus ruzickai: Habitus (a); Kopf (b); Kopf, Unterseite (c); Pronotum (d); Elytre (e); Prosternum (f); Mitte von Sternit III (g); Mikroskulptur auf Scutellum (h); Elytren (i) und Abdomen (k). -Holotypus (a, b, d, e, h-k), -Paratypus (c, f, g).
Why choose Art and architecture tours in St Petersburg?
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Uncertainty and debate in statements describing Wikidata Works of art
<p>This dataset comprises a selection of statements from <a href="https://doi.org/10.5281/zenodo.7307852">all artworks in Wikidata</a>. </p> <p>In particular, </p> <ul> <li><strong>natures.json</strong> stores statements with a “Nature of statements” qualifier. Statements, independently of rank, can be decorated with an additional triple using predicate P5102. 54 terms among 283 available may mark the statement as uncertain or debated (e.g. debated, hypothesis, possibly). For example, the painting “Abstract Speed + Sound” (Q19882431) by Giacomo Balla is deemed to be possibly part of a triptych. </li> <li><strong>non-asserted.json </strong>contains those statements which are not asserted. Competing statements are represented via a ranking mechanism (e.g., Preferred, Normal and Deprecated). Individual statements are not actually asserted, but an extra triple is added those that are deemed true. For example, the painting “Madonna with the Blue Diadem” (Q738038) has been attributed to Raphael (non asserted statement, ranked as normal) and Gianfrancesco Penni (asserted statement, ranked as preferred and additionally asserted). </li> <li><strong>null-valued.json</strong> contains all statements with a null-valued objects. A statement can be associated with a blank node. This is meant to imply that the statement is associated with an unknown value, rather than a missing statement. For example, “Missal for the use of the ecclesiastics of Clermont' (Q113302686), an illuminated manuscript from the 14th century, has been recorded with both an unknown creator and author.</li> <li><strong>sourcing-circumstances.json </strong>stores statements with a “Sourcing circumstance” qualifier. As for Natures of statements only statements with an uncertain qualifier have been selected.</li> </ul>
Abb. 1-3 in Beitrag zur Zoogeographie einiger Oxypoda-Arten aus Italien mit Beschreibung einer neuen Art der Untergattung Thliboptera STEPHENS, 1839 (Coleoptera, Staphylinidae, Aleocharinae)
Abb. 1-3: Oxypoda siciliensis nov.sp.; (1) Aedeagus lateral; (2) Aedeagus ventral; (3) Apikallobus rechte Paramere; Massstab 0,1 mm.
Poses of People in Art: A Data Set for Human Pose Estimation in Digital Art History
<p>Throughout the history of art, the pose—as the holistic abstraction of the human body's expression—has proven to be a constant in numerous studies. However, due to the enormous amount of data that so far had to be processed by hand, its crucial role to the formulaic recapitulation of art-historical motifs since antiquity could only be highlighted selectively. This is true even for the now automated estimation of human poses, as domain-specific, sufficiently large data sets required for training computational models are either not publicly available or not indexed at a fine enough granularity. With the <em>Poses of People in Art</em> data set, we introduce the first openly licensed data set for estimating human poses in art and validating human pose estimators. It consists of 2,454 images from 22 art-historical depiction styles, including those that have increasingly turned away from lifelike representations of the body since the 19<sup>th</sup> century. A total of 10,749 human figures are precisely enclosed by rectangular bounding boxes, with a maximum of four per image labeled by up to 17 keypoints; among these are mainly joints such as elbows and knees. For machine learning purposes, the data set is divided into three subsets—training, validation, and testing—, that follow the established JSON-based Microsoft COCO format, respectively. Each image annotation, in addition to mandatory fields, provides metadata from the art-historical online encyclopedia WikiArt.</p>
Investigating Online Art Search through Quantitative Behavioral Data and Machine Learning Techniques - Dataset
<p>This dataset includes the detailed values and scripts used to study behavioral aspects of users searching online for Art and Culture by analyzing quantitative data collected by the Art Boulevard search engine using machine learning techniques. This dataset is part of the core methodology, results and discussion sections of the research paper entitled "<strong>Investigating Online Art Search through Quantitative Behavioral Data and Machine Learning Techniques</strong>"</p>
ARTS Absorption Lookup Table for a Wide Range of Atmospheric Conditions
<p><strong>General description</strong></p> <p>This dataset provides an absorption lookup table for the Atmospheric Radiative Transfer Simulator (ARTS). The data is stored in the ARTS XML data format.</p> <p>The dataset consists of the following files:</p> <ul> <li>abs_lookup.xml <em>Meta data describing the lookup table in ASCII format</em></li> <li>abs_lookup.xml.bin <em>The grids and absorption cross section in binary format</em></li> </ul> <p>The lookup table covers wavenumbers from 10 to 3,250 cm<sup>-1</sup>. It is valid for surface temperatures between 200 to 400 Kelvin and water vapor mixing ratios from 4e-5 up to 0.4.</p> <p>The spectral coverage in combination with the wide range of validity make the lookup table suitable to calculate radiative fluxes even in extreme climates.</p> <p>The dataset includes absorption cross-sections for the following species:</p> <ul> <li> CH4</li> <li> CO</li> <li> CO2</li> <li> H2O</li> <li> N2</li> <li> N2O</li> <li> O2</li> <li> O3</li> </ul> <p><strong>Usage with the radiative-convective equilibrium model konrad</strong></p> <p>The lookup table can be used by the ARTS radiation class provided by the radiative-convective equilibrium (RCE) model konrad. This allows the user to perform RCE simulations with line-by-line longwave radiation. The environment variable ``KONRAD_LOOKUP_TABLE`` is used to tell the model where the lookup table is located:</p> <pre><code class="language-bash">export KONRAD_LOOKUP_TABLE="path/to/abs_lookup.xml"</code></pre> <p> </p> <p><strong>References</strong><br> ARTS: <a href="https://radiativetransfer.org">radiativetransfer.org</a><br> konrad: <a href="https://github.com/atmtools/konrad">github.com/atmtools/konrad</a><br> </p>
Reproduction package for the paper "The Apertif Radio Transient System (ARTS): Design, Commissioning, Data Release, and Detection of the first 5 Fast Radio Bursts"
<p>This is a basic reproduction package for the paper "The Apertif Radio Transient System (ARTS): Design, Commissioning, Data Release, and Detection of the first 5 Fast Radio Bursts" by van Leeuwen et al. (2023).</p> <p>* arXiv:<a href="https://arxiv.org/abs/2205.12362">arXiv:2205.12362</a><br> * DOI: <a href="https://doi.org/10.1051/0004-6361/202244107">10.1051/0004-6361/202244107</a></p> <p> </p>
ART Polymerization Networks
<p>This repository contains the data underlying the results presented in:<br> "Accelerating Reaction Network Explorations with Automated Reaction Template Extraction and Application"<br> - Jan P. Unsleber, 2023, ChemRxiv, DOI: 10.26434/chemrxiv-2023-lgnrm</p>
Markierung eines Tiers der Art Leucorrhinia pectoralis durch das Anbringen von Farbflecken auf Vorder- und Hinterflügeln. (Foto Daniel Küry) in Exkursionsbericht Schweizerische Arbeitsgemeinschaft für Libellenschutz (SAGLS)
Markierung eines Tiers der Art Leucorrhinia pectoralis durch das Anbringen von Farbflecken auf Vorder- und Hinterflügeln. (Foto Daniel Küry)
Digital Humanities Retrieval Evaluation Dataset for Art, Architecture and Life Sciences (DHREAAL)
<p>This dataset, titled "Digital Humanities Retrieval Evaluation Dataset for Art, Architecture, and Life Sciences," emphasizes semantic retrieval, including ground truth data for both content-based and instance-based image retrieval. Utilized to compare various promising approaches and refine the evaluation method, this dataset serves as a precursor to a more extensive dataset. Additional details can be found in the dataset's related publication.</p> <p>Currently, the dataset is still under development. In its next iteration, the dataset will include options for retrieving image syntax and temporal aspects, in addition to the semantics.</p>
Abb. 8 in Perizoma juracolaria (Wehrli, 1919): eine neue Art für die Schweizer Fauna (Lepidoptera, Geometridae)
Abb. 8. Perizoma juracolaria, Weibchen Nods (BE), Chasseral, 1320 m, 8. Juli 1982. (Fotos Ruedi Bryner)
Abb. 3 in Perizoma juracolaria (Wehrli, 1919): eine neue Art für die Schweizer Fauna (Lepidoptera, Geometridae)
Abb. 3. Perizoma juracolaria (Wehrli, 1919). Holo- typus Weibchen Oberseite. Im Museum Alexander Koenig, D-Bonn. (Foto Dr. Dieter Stüning, Bonn)
Abb. 11. Habitat von P in Perizoma juracolaria (Wehrli, 1919): eine neue Art für die Schweizer Fauna (Lepidoptera, Geometridae)
Abb. 11. Habitat von P. juracolaria: Courtelary (BE), Chasseralgebiet, 1450 m, 3. Juli 2011. (Foto Ruedi Bryner)
Abb. 6. Etikette 4 in Perizoma juracolaria (Wehrli, 1919): eine neue Art für die Schweizer Fauna (Lepidoptera, Geometridae)
Abb. 6. Etikette 4: (rot) Lectotypus (Weibchen) Larentia juracolaria Wehrli, 1919, Design. Dr. Heiner Ziegler, Chur, 10. Januar 2014, Publ. Entomo Helvetica 7.
Abb. 31. Verbreitung von T in Die Höhlenspanner der Gattung Triphosa Stephens, 1829 und die für die Schweiz neu erkannte Art Triphosa tauteli Leraut, 2008 (Lepidoptera: Geometridae)
Abb. 31. Verbreitung von T. tauteli in der Schweiz. Funddaten vor 1990 gelb, nach 1990 rot. Données CSCF©. 2013, Fonds de carte Swisstopo©.
Abb. 11. T in Die Höhlenspanner der Gattung Triphosa Stephens, 1829 und die für die Schweiz neu erkannte Art Triphosa tauteli Leraut, 2008 (Lepidoptera: Geometridae)
Abb. 11. T. tauteli, ♀, Chasseral (BE), 07.05.1988 Abb. 12. T. tauteli, ♀, Hägendorf (SO), 13.11.2013
Abb. 7. T in Die Höhlenspanner der Gattung Triphosa Stephens, 1829 und die für die Schweiz neu erkannte Art Triphosa tauteli Leraut, 2008 (Lepidoptera: Geometridae)
Abb. 7. T. tauteli, ♂, Chasseral (BE), 22.08.1982 Abb. 8. T. tauteli, ♀, Chasseral (BE), 07.05.1988.
Abb. 1. T in Die Höhlenspanner der Gattung Triphosa Stephens, 1829 und die für die Schweiz neu erkannte Art Triphosa tauteli Leraut, 2008 (Lepidoptera: Geometridae)
Abb. 1. T. sabaudiata, ♂, Vallorbe (VD), 31.10.2013 Abb. 2. T. sabaudiata, ♀, Vallorbe (VD), 31.10.2013
Abb. 3. T in Die Höhlenspanner der Gattung Triphosa Stephens, 1829 und die für die Schweiz neu erkannte Art Triphosa tauteli Leraut, 2008 (Lepidoptera: Geometridae)
Abb. 3. T. dubitata, ♂, Chasseral (BE), 11.10.1984 Abb. 4. T. dubitata, ♀, Chasseral (BE), 31.03.1981
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.