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88 results for “Vienna”
Figure 2 in Water mites collected from oxbow lakes in the Prater area (Vienna) in 1932/1933, with the redescription of Hydryphantes dispar (v. Schaub, 1988)
Figure 2. Hydryphantes dispar, ♂ from Prater in Vienna, Vornatscher coll. 1933, coxal and genital field. Bar = 100 µm.
Figure 4 in Water mites collected from oxbow lakes in the Prater area (Vienna) in 1932/1933, with the redescription of Hydryphantes dispar (v. Schaub, 1988)
Figure 4. Hydryphantes dispar, ♂ from Prater in Vienna, Vornatscher coll. 1933, mouth parts. A. gnathosoma lateral; B. chelicera; C. palp medial; D. palp lateral. Bar = 100 µm.
Figure 1 in Water mites collected from oxbow lakes in the Prater area (Vienna) in 1932/1933, with the redescription of Hydryphantes dispar (v. Schaub, 1988)
Figure 1. Hydryphantes dispar, ♂ from Prater in Vienna, Vornatscher coll. 1933, frontal shield. Bar = 100 µm.
Fig. 7 in Deep-water chondrichthyans from the Early Miocene of the Vienna Basin (Central Paratethys, Slovakia)
Fig. 7. Miocene squaliform sharks Etmopterus and aff. Miroscyllium teeth from Cerová section in Malé Karpaty, Slovakia. A–G. Etmopterus sp. A. SNM Z 27463, bed 17–18, lower tooth in labial (A1) and lingual (A2) views. B. SNM Z 27464, bed 17–18, lower tooth in labial (B1) and lingual (B2) views. C. SNM Z 27465, bed 17–18, lower posterior tooth in labial (C1) and lingual (C2) views. D. SNM Z 27465, bed 21–22, lower tooth in labial (A1) and lingual (A2) views. E. SNM Z 27466, bed 17–18, lower tooth in labial (E1) and lingual (E2) views. F. SNM Z 27467, bed 17–18, lower tooth in labial view. G. SNM Z 27468, bed 8–9, upper tooth in labial (G1) and lingual (G2) views. H–K. aff. Miroscyllium sp. H. SNM Z 27469, bed 17–18, lower symphyseal tooth in labial (H1) and lingual (H2) views. I. SNM Z 27470, bed 17–18, lower tooth in labial (I1) and lingual (I2) views. J. SNM Z 27471, bed 21–22, lower lateral tooth in labial (J1) and lingual (J2) views. K. SNM Z 27472, bed 17–18, lower tooth in labial (K1) and lingual (K2) views.
Fig. 5 in Deep-water chondrichthyans from the Early Miocene of the Vienna Basin (Central Paratethys, Slovakia)
Fig. 5. Miocene squaliform shark Squaliolus cf. schaubi (Casier, 1958) teeth from Cerová section in Malé Karpaty, Slovakia. A. SNM Z 27443, bed 20–21, lower tooth in labial (A1) and lingual (A2) views. B. SNM Z 27444, bed 13, lower tooth in labial (B1) and lingual (B2) views. C. SNM Z 27465a, bed 20–21, lower posterior tooth in labial (C1) and lingual (C2) views. D. SNM Z 27465b, bed 5,?male lower tooth in labial view. E. SNM Z 27447, bed 5, lower symphyseal tooth in labial (E1) and lingual (E2) views. F. SNM Z 27448, bed 8–9, lower tooth in labial (F1) and lingual (F2) views. G. SNM Z 27449, bed 20–21, upper toot in labial (G1) and lingual (G2) views. H. SNM Z 27450, bed 20–21, upper tooth in labial (H1) and lingual (H2) views. I. SNM Z 27451, bed 20–21, upper tooth in labial (I1) and lingual (I2) views. J. SNM Z 27452, bed 17–18, upper tooth in labial view. K. SNM Z 27453, bed 8–9, upper tooth in labial (K1) and lingual (K2) views. L. SNM Z 27454, bed 21–22, upper posterior tooth in labial (L1) and lingual (L2) views.
Fig. 3 in Deep-water chondrichthyans from the Early Miocene of the Vienna Basin (Central Paratethys, Slovakia)
Fig. 3. Microborings in the Miocene shark teeth from Cerová section in Malé Karpaty, Slovakia. A. SNM Z 27430, bed 20–21. Two different sizes of Abeliella riccioides Mägdefrau, 1937 and an unnamed boring in a tooth root (Squaliolus) (A1). Detail of unnamed boring from A1 (A2). B. SNM Z 27431, bed 8–9. Mycelites ossifragus Roux, 1887 at a tooth crown−root junction (Paraetmopterus). Scale bars 0.1 mm.
Fig. 1. A, B in Deep-water chondrichthyans from the Early Miocene of the Vienna Basin (Central Paratethys, Slovakia)
Fig. 1. A, B. Geographic position of the Cerová section at the eastern border of the Vienna Basin. Abbreviations: B, Bükk; NCA, Northern Calcareous Alps; TCR, Transdanubian Central Range. C. Lithology of the section; numbers indicate the position of the foraminiferal samples as mentioned in the text.
Fig. 9 in Deep-water chondrichthyans from the Early Miocene of the Vienna Basin (Central Paratethys, Slovakia)
Fig. 9. Miocene neoselachian and myliobatiform sharks of Nannocetorhinus and Gymnura teeth respectively, from Cerová section in Malé Karpaty, Slovakia. A–H. Nannocetorhinus tuberculatus gen. et sp. nov. A. Holotype, SNM Z 27485, bed 21–22, in labial (A1) and lingual (A2) views. B. SNM Z 27486, bed 8–9, in labial (B1) and lingual (B2) views. C. SNM Z 27487, bed 17–18, in labial (C1) and lingual (C2) views. D. SNM Z 27488, bed 8–9, in labial (D1) and lingual (D2) views. E. SNM Z 27489, bed 13, in labial (E1) and lingual (E2) views. F. SNM Z 27490, bed 17–18, in labial (F1) and lateral (F2) views. G. SNM Z 27491, bed 20–21, in labial (G1) and lingual (G2) views. H. SNM Z 27492, bed 20–21, in labial (H1) and lingual (H2) views, detail (H3). I. Gymnura sp., SNM Z 27484, bed 14, in occlusal (I1) and basal (I2) views.
Video Documentation for the Giant Human Sorting Network event in Vienna, Austria, September 19, 2019
<p>This video is a supplementary material for the article "Large and Parallel Human Sorting Networks" by Stefan Szeider, to appear in the proceeedings of CMSC 2024, the 7th Conference on Creative Mathematical Sciences Communication, Springer Verlag, 2024.</p> <p> </p>
Linked collectors and determiners for: University of Vienna, Institute for Botany - Herbarium WU.
Natural history specimen data linked to collectors and determiners held within, "University of Vienna, Institute for Botany - Herbarium WU". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0afba960-be3b-4202-a7de-736ae05aec9e">https://bionomia.net/dataset/0afba960-be3b-4202-a7de-736ae05aec9e</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0afba960-be3b-4202-a7de-736ae05aec9e">https://gbif.org/dataset/0afba960-be3b-4202-a7de-736ae05aec9e</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: A photographic type catalogue of Platygastroidea (Insecta, Hymenoptera) in the Natural History Museum Vienna.
Natural history specimen data linked to collectors and determiners held within, "A photographic type catalogue of Platygastroidea (Insecta, Hymenoptera) in the Natural History Museum Vienna". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/b7c20ad6-4993-48e2-b202-3646dcad0714">https://bionomia.net/dataset/b7c20ad6-4993-48e2-b202-3646dcad0714</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/b7c20ad6-4993-48e2-b202-3646dcad0714">https://gbif.org/dataset/b7c20ad6-4993-48e2-b202-3646dcad0714</a>. Formatted as a Frictionless Data package.
7T MRSI (HFMRC, MU Vienna) Example Data: Raw MM Spectra
<p>Data from the Vienna 7T MRSI group<br> Contact: wolfgang.bogner@meduniwien.ac.at , mpovaza1@jhmi.edu</p> <p>Format: JMRUI text file</p> <p>Field strength: 7T</p> <p>Scanner type: Siemens 7T Magnetom</p> <p>Sequence type: Double Inversion Recovery single-slice FID-MRSI, cartesian phase encoding</p> <p>Technique: Metabolite Nulling Using Double Inversion Recovery</p> <p>Spectrum Type: Metabolite-Nulled Macromolecular spectrum</p> <p>Pre-processing: Spectra summed across chosen ROI / Metabolite Residuals Removed using AMARES</p> <p>Subjects: Healthy young (25-35y) volunteers</p> <p>Acquisition date: 2014-2015</p> <p>Details on the acquisition and pre-processing of these datasets can be found in 1. (Považan et al., NI, 2015). In case of further questions, please contact authors.</p> <p> </p>
Building schematic of Vienna in the late 1920s (Dataset and codebook)
<p>The building schematic of Vienna in the late 1920s was a knowledge base for real estate and finance business. At this time, the schematic was published on paper. The <a href="https://www.wienbibliothek.at/">Wienbibliothek im Rathaus</a> scanned the documents and distribute the <a href="https://permalink.obvsg.at/wbr/AC07637508">Häuser-Kataster der Bundeshauptstadt Wien</a> online in PDF format. We converted the PDFs into a machine-readable format.</p> <p>Details on the repository content and the dataset are given in the <a href="https://github.com/ukral/building.schematic/blob/master/README.md">Readme</a> file.</p>
Tiles of airborne laser scanning point clouds of Vienna, Austria (2016)
<p>Airborne laser scanning of the city of Vienna, which was organized by the survey department of the City Administration of Vienna (MA41). The data acquisition was performed in eight flight missions in November 2015.</p> <p>After strip adjustment relative accuracy of the point cloud was in the order of 2cm. The absolute accuracy measured as RMSE is better than 5cm in planimetry and better than 4cm in elevation. The dataset was cleaned and does not involve obvious gross errors, e.g. points high up in the air or points far below ground level. The point density is measured as by last echoes per unit area and is more than 15 points/m<sup>2</sup> for 97% of the area. The average point density is 33 points/m<sup>2</sup>.</p> <p>The LiDAR dataset of the city is organized in a number of 1270m×1020m tiles (including a 10m overlap of all neighboring tiles).</p> <p>Reference labels were generated semi-automatically: a rough filtering of main objects was firstly conducted by the software “Terrasolid”, and the final classification was refined by manual labelling. For the purpose of Vienna city administration, five classes are considered, namely ground, buildings, vegetation, others, water and bridges. All common street objects are categorized as others, such as (e.g.) streetlights, benches, shrubs, cars, construction sites and garbage bins. The different classes are defined by the following numeric integer codes: 2: Ground, 5: Vegetation, 6: Buildings, 8: Others, 9: Water and 17: Bridges.</p> <p>The quality of the labelling was manually checked. In 20 sites of 100m×100m the classification was manually verified, and the average accuracy of reference labels is 95%.</p> <p>Total 9 tiles are published, in which 4 tiles were used for the training and 5 tiles for the evaluation in the paper “A Comparison of Deep Learning Methods for Airborne LiDAR Point Clouds Classification”. Their locations in the city of Vienna can be found in the file of metadata, which also provides WGS84/GRS80 latitude and longitude coordinates of the extent corners of each tile (EPSG: 31256). This can be used to access images of the tiles from Google Maps or other public map service.</p> <p> </p>
Votive Column in Vienna Meidling
This shrine stands in front of the house at Meidlinger Hauptstraße No. 3. In the past, the prisoner's house and the keeper's house were located at this address. It is a Tuscan column on a square base that supports a cuboid with two reliefs. One relief shows Saul's conversion to Paul. The text "Ex Voto" and the year 1687 are engraved beneath this relief. "Ex voto" suggests that a person in an emergency pledged to erect this pillar if he or she is rescued. Since the plague raged in Vienna in 1687, it is probable that the threat came from the plague. And because the name of Paul is the subject of the relief, it is assumed that the founder was a person named Paul. A "Throne of Mercy" is shown on the back of the column together with the text "RV L.R." and the year 1756. So probably in 1756 a person with the initials L.R. renovated the shrine. This votive column is the oldest still existing monument in public space in Meidling. The orange ribbon is used to support the pillar that threatens to break. Source: Objaverse 1.0 / Sketchfab
- Nomenclature Section of the XVII International Botanical Congress, Vienna, Austria, July 2005. – Photograph by Rudolf Hromniak. Previously published including a key to the persons depicted in Taxon 59(4) 2010 1306–1307.
- Nomenclature Section of the XVII International Botanical Congress, Vienna, Austria, July 2005. – Photograph by Rudolf Hromniak. Previously published including a key to the persons depicted in Taxon 59(4) 2010 1306–1307.
Inputs for ECF Model for case study Vienna
<p>The datasets comprise of:</p> <ol> <li>Cooling demand density and Gross Floor area distribution from https://www.hotmaps.eu/</li> <li>Pipe Costs Estimates for district cooling networks from sEEnergies_D4.5_DH_investment_costs_and_allocation_local_ressources_final_version.pdf</li> <li>EU.11 Cooling Technologies cost data from "Pathways for energy efficient heating and cooling.” EU-Comission, Forthcoming final report, 2023 </li> </ol>
Natural History Museum Vienna Floors 2,3
<p>The Natural History Museum of Vienna is a research museum and dates back to the imperial collections of the 18th century, with its collections organised by the geologist Ferdinand von Hochstetter. The climate data is related to a paper <br>Microclimate of the Natural History Museum, Vienna by <br>Peter Brimblecombe, Alexander Bibl, Christian Fischer, Helmut Pristacz and Pascal Querner </p>
Evaluation of different Open Science projects based on Vienna principles.
<p>Evaluation of different Open Science projects based on Vienna principles.</p>
Fig. 2. Ephemera glaucops F.-J. Pictet, 1843 in Mayfly types and additional material (Insecta: Ephemeroptera) examined by F.-J. Pictet and A.-E. Pictet, housed in the Museums of Natural History of Geneva and Vienna
Fig. 2. Ephemera glaucops F.-J. Pictet, 1843, labels of one male imago syntype.
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.
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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.