Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
558
datasets available to search
ShareScore release 0.9.0
Dataset results
558 results for “Austria”
Zigbee sensor range extension experiments with LoRaWAN in Langenlois Austria
<p>This dataset contains log files and a brief overview of a field expedition in Langenlois/Austria, where range extension of Zigbee sensors with LoRaBridge in out-door conditions was successfully verfied.</p>
Water pollution in Höfen and COVID-19 cases in Austria
<p>Dataset used for the project "Analysis of correlation between water pollution in Höfen and Covid-19 cases in Austria, 2020"</p>
Analysis of correlation between water pollution in Höfen and Covid-19 cases in Austria, in 2020 dataset
<p>Dataset about water pollution in Höfen and COVID-19 cases in Austria, in 2020. The measured water pollution corresponds to the daily COVID-19 cases and deaths.</p>
TEAMx-PC22 (TEAMx pre-campaing 2022) – GeoSphere Austria Doppler wind lidar data
<p><strong>ABSTRACT</strong></p> <p><a href="https://www.geosphere.at/">GeoSpere Austria</a> operated a Doppler lidar (<a href="https://metek.de/product/wind-ranger-100-200/">METEK Wind Ranger 200</a>) during the TEAMx pre-campaign 2022 (TEAMx-PC22) from August 17, 2022 to October 3, 2022 next to the <a href="https://oscar.wmo.int/surface/index.html#/search/station/stationReportDetails/0-20000-0-11130">meteorological station at Kufstein</a>, Austria. The wind lidar data from this campaign is provided here. Standard meteorological data is available on the <a href="https://data.hub.geosphere.at/">GeoSphere Austria data hub</a>.</p> <p>The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at <a href="http://www.teamx-programme.org">http://www.teamx-programme.org</a> as well as in <a href="https://www.uibk.ac.at/iup/buch_pdfs/10.1520399106-003-1.pdf">Serafin et al. (2020) </a>and in <a href="https://journals.ametsoc.org/view/journals/bams/103/5/BAMS-D-21-0232.1.xml">Rotach et al. (2022)</a>.</p> <p><strong>DATA SET DESCRIPTION</strong></p> <p>The windlidar is operated at Kufstein next to the meteorological station (12.1628°E 47.5753°N 490m asl). 1 VAD scan is measured per second, 100 radial measurements per VAD scan.</p> <p>Provided are daily NetCDF data sets, so-called “averaged files”, i.e. 10min averaged profiles calculated from the instantaneous profiles provided by the operational software of the instrument.</p> <p><strong>Description of variables:</strong></p> <table> <tbody> <tr> <td> <p>lat</p> </td> <td> <p> Latitude</p> </td> </tr> <tr> <td> <p>lon</p> </td> <td> <p> Longitude</p> </td> </tr> <tr> <td> <p>alt</p> </td> <td> <p> Altitude</p> </td> </tr> <tr> <td> <p>height</p> </td> <td> <p> Measuring height</p> </td> </tr> <tr> <td> <p>pitch</p> </td> <td> <p> Tilt towards north arrow</p> </td> </tr> <tr> <td> <p>roll</p> </td> <td> <p> Tilt clockwise looking along north arrow</p> </td> </tr> <tr> <td> <p>heading</p> </td> <td> <p> Azimuth alignment (should be zero)</p> </td> </tr> <tr> <td> <p>time</p> </td> <td> <p> Time stamp (seconds since 01.01.1970 00:00 UTC).</p> </td> </tr> <tr> <td> <p>VEL</p> </td> <td> <p> Wind Velocity (vectorial average)</p> </td> </tr> <tr> <td> <p>VEL_SC</p> </td> <td> <p>Wind Velocity (scalar average)</p> </td> </tr> <tr> <td> <p>DIR</p> </td> <td> <p> Direction (vectorial average)</p> </td> </tr> <tr> <td> <p>U</p> </td> <td> <p> West-East wind component</p> </td> </tr> <tr> <td> <p>V</p> </td> <td> <p> South-North wind component</p> </td> </tr> <tr> <td> <p>W</p> </td> <td> <p> Upward wind component</p> </td> </tr> <tr> <td> <p>SU</p> </td> <td> <p>Standard deviation of U</p> </td> </tr> <tr> <td> <p>SV</p> </td> <td> <p>Standard deviation of V</p> </td> </tr> <tr> <td> <p>SW</p> </td> <td> <p>Standard deviation of W</p> </td> </tr> <tr> <td> <p>SVEL</p> </td> <td> <p>Mean square deviation of radial wind components from fitted values</p> </td> </tr> <tr> <td> <p>DQ</p> </td> <td> <p>Fraction of valid radial components per VAD</p> </td> </tr> <tr> <td> <p>MDT</p> </td> <td> <p>Mean distance to target (Measured distance of focus)</p> </td> </tr> <tr> <td> <p>SNR</p> </td> <td> <p>Signal to noise ratio in dB</p> </td> </tr> <tr> <td> <p>SPW</p> </td> <td> <p>Spectral width (for internal use only)</p> </td> </tr> </tbody> </table> <p> </p> <p>Contact: kathrin.baumann-stanzer@geosphere.at</p>
Daily snow water equivalent and snow depth data from the valley Wattental in the Tuxer Alpen, Tyrol, Austria [dataset]
<p>The herein published dataset contains daily snow depth (HS) and daily snow water equivalent (SWE) data from the catchment of the Lizumbach in the valley bottom of Wattental in the Tuxer Alpen, Tyrol, Austria (N47.16820, E11.63858). The measurements are obtained at the tree line in an altitude of 1995m a.s.l. Measurement data are available from January 11 2010 until September 30 of 2022. The repository will be updated during the coming years. </p> <p> </p>
Supplementary Material to 'Exploring the power of data-driven models for groundwater system conceptualization: A case study of the Grazer Feld Aquifer, Austria'
<p>This folder contains the supplementary materials to reproduce the results, tables, and figures from the following publication submitted to the Hydrogeology Journal: </p> <p>Kokimova A., Collenteur, R.A. & Birk, S. Exploring the power of data-driven models for groundwater system conceptualization: A case study of the Grazer Feld Aquifer, Austria.</p>
AGMT (Arbeitsgemeinschaft medikamentöse Tumortherapie): Head and neck tumor registry Austria
<p>A metadataset describing the patient registry: Head and neck tumor registry Austria. </p>
A drone carrying DAPSI above the canopy of birch trees in Gosau, Upper Austria.
<p>A drone carrying DAPSI above the canopy of birch trees in Gosau, Upper Austria.</p>
AI results complementing the Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Austria
<p>This dataset contains the results of the EU co-funded surveillance activities conducted in 2019, which consisted of:</p> <ul> <li>Serological surveys to monitor the circulation of AIV subtypes H5 and H7 in poultry (active surveillance). These surveys should preferentially target poultry species or production systems with increased risk for introduction of avian influenza (AI).</li> <li>Passive surveillance aiming at the virological detection of AI in wild birds found dead or moribund.</li> </ul>
2020 ORCID Austria Tech-Workshop
<p>Video recording of the ORCID Austria Tech-Workshop on November 25, 2020. For more information https://www.tuwien.at/kooperationen/orcid/en/orcid-resources/webinars-and-workshops/</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>
Climate Change in Austria according to HISTALP data
<p>This project is researching the climate change in Austria using data of the HISTALP project of ZAMG. The data is collected to visualize and summarize the climatological change in 9 weather stations in Austria:</p> <ul> <li>Bregenz [BRE]</li> <li>Eisenstadt [EST]</li> <li>Graz - Universität [GRA]</li> <li>Innsbruck-Universität [INN]</li> <li>Klagenfurt-Flughafen [KLA]</li> <li>Linz-Stadt [LIN]</li> <li>Salzburg-Flughafen [SAL]</li> <li>St. Pölten [SPO]</li> <li>Wien-Hohe Warte [WIE]</li> </ul>
- 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.
Watersurface cover estimates for sodapans and lakes in the Seewinkel region, Austria
<h1>Description</h1> <p>This upload describes remote-sensing derived water surface estimates for a set of sodapans and lakes in the Seewinkel region in Austria. Pannonic salt steppes and salt marshes (EUNIS code <a title="EUNIS" href="https://eunis.eea.europa.eu/habitats/10029" target="_blank" rel="noopener">1530</a>) are among the rarest habitat types in Europe and typically characterized by halophytic vegetation and periodically reoccurring water surface and it is not untypical for them to fall entirely dry during the course of the year.<br><br>Here a near-daily time series of water surface area was created from pre-processed Sentinel 1 ARD data using VV polarization estimates from all ascending imageries taken between 2015 and the last updated day. The data was corrected for border-noise and despecking. Based on a calibrated threshold (obtained through visual inspection) the water surface area was then identified and extracted within the boundaries of the habitat areas. A shapefile of the extent of sodapans and lakes in the Neusiedl region has been supplied by the Nationalpark Lake Neusiedl - Seewinkel (not shared). Area estimates are in ha unless otherwise stated.</p> <p><strong>The data can be interactively navigated on a small dashboard online:</strong><br><a title="Interactive dashboard" href="https://martinjung.shinyapps.io/lackenmonitor/" target="_blank" rel="noopener">https://martinjung.shinyapps.io/lackenmonitor/ </a><br><br>The creation of this data was supported by the <a title="INSPIRE" href="https://www.inspire-biodiversa.com/" target="_blank" rel="noopener">INSPIRE project</a> funded under the BiodivERsA BiodivProtect call.</p>
Roman spoila (Maria Saal, Austria)
A roman era spoila depicting an kantaros flanked by two griffins. Located in the church of Maria Saal, Zollfeld (Gospa sveta, Gosposvetsko polje). Source: Objaverse 1.0 / Sketchfab
Petzenkirchen | Austria | Roman baths
# Roman Rural Landscapes in Noricum | PhD project The Roman rural site of *Petzenkirchen* in Lower Austria is located on the right bank of the river Erlauf – archaeological excavations revealed features and finds that can be assigned to a Roman *villa* located in the hinterland of the Danube limes/*ripa*. The site serves as case study within the Area of Special Interest of my PhD project [*'Roman Rural Landscapes in Noricum'*](https://rrl.univie.ac.at/forschung/rrln/). * Find it on [OpenStreetMap](https://www.openstreetmap.org/#map=18/48.14627/15.15589). * **Data provided by [ASINOE GmbH](http://www.asinoe-gmbh.at/) and [Archaeo Perspectives](https://sketchfab.com/archaeo-perspectives)** * DOI: Source: Objaverse 1.0 / Sketchfab
Fig. 1 in Description Of A New Species Of Acanthococcus (Hemiptera: Coccoidea: Eriococcidae) From Austria
Fig. 1. Acanthococcus thaleri sp. n.: mounted female. Austria, Siebenstein, on Erica carnea
Fig. 3 in The Enchytraeid Fauna (Enchytraeidae, Clitellata) Of The Rax Mountain (Austria) With Description Of Two New Species And Comparison Of Fridericia Discifera Healy, 1975 And F. Alpica Sp. N.
Fig. 3. Micrograph of Fridericia discifera. A = clitellar glands dorsally, B = clitellar glands
Fig. 2 in The Enchytraeid Fauna (Enchytraeidae, Clitellata) Of The Rax Mountain (Austria) With Description Of Two New Species And Comparison Of Fridericia Discifera Healy, 1975 And F. Alpica Sp. N.
Fig. 2. Micrograph of Fridericia alpica sp. n. A = midgut pars tumida in XXX–XXXI, lateral
Figure 3 Arcochthonius roynortoni n in A new species of Brachychthoniidae (Acari: Oribatida) from the Eastern Central Alps (Austria, Tyrol), with the proposal of a new genus
Figure 3 Arcochthonius roynortoni n. sp. adult: lateral view (legs not shown). Scale bar 50 µm.
ScienceDex guides
Understand access before you commit
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.