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558 results for “austria”

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zenodo36/100

FIG. 4 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria

FIG. 4. – Cemetery of Halbturn, distribution of pits.

opencc-by-4.0Dec 2013View details →
zenodo36/100

AI results complementing the 2020 Annual Report on surveillance for Avian Influenza in poultry and wild birds in Member States of the European Union - Austria

<p>This dataset contains&nbsp;the results of the EU co-funded surveillance activities conducted in 2020, 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>

opencc-by-4.0Jul 2021View details →
zenodo36/100

Abb. 33-34 in Die paläarktischen Arten der Gattung Exetastes GRAVENHORST, 1829 (Hymenoptera, Ichneumonidae, Banchinae) des Biologiezentrums Linz, Austria

Abb. 33-34: Metapleuren der von: (33) E. metapleurator nov.sp. und (34) E. problematicus nov.sp.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Abb. 10 in Die paläarktischen Arten der Gattung Exetastes GRAVENHORST, 1829 (Hymenoptera, Ichneumonidae, Banchinae) des Biologiezentrums Linz, Austria

Abb. 10: Bohrervalven des von E. longiterebra nov.sp.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Abb. 35-36 in Die paläarktischen Arten der Gattung Exetastes GRAVENHORST, 1829 (Hymenoptera, Ichneumonidae, Banchinae) des Biologiezentrums Linz, Austria

Abb. 35-36: (35) Mesosoma des von E. pyramidatus nov. spec.; (36) Gena des von E. genalis nov.sp.

opencc-by-4.0Dec 2015View details →
zenodo36/100

Abb. 21 in Schmetterlinge (Lepidoptera) im Biosphärenpark Grosses * Walsertal (Vorarlberg, Austria): Vielfalt, Gefährdung, Schutz

Abb. 21: Artenverteilung auf Lebensraumtypen (inkl. Mehrfachnennungen).

opencc-by-4.0Dec 2011View details →
zenodo36/100

Abb. 9 in Schmetterlinge (Lepidoptera) im Biosphärenpark Grosses * Walsertal (Vorarlberg, Austria): Vielfalt, Gefährdung, Schutz

Abb. 9: Wichtige rezente Erhebungsstandorte der Schmetterlingsfauna.

opencc-by-4.0Dec 2011View details →
zenodo36/100

Abb. 11 in Schmetterlinge (Lepidoptera) im Biosphärenpark Grosses * Walsertal (Vorarlberg, Austria): Vielfalt, Gefährdung, Schutz

Abb. 11: Verteilung des Arteninventars auf Gefährdungskategorien der Roten Liste.

opencc-by-4.0Dec 2011View details →
zenodo36/100

Figs 1-3 in The Chloriontinae, Sceliphrinae and Sphecinae Wasps of the "Biologiezentrum Linz" - Collection in Linz, Austria including the Genera Chalybion DAHLBOM, Chlorion LATREILLE, Dynatus LEPELETIER de SAINT FARGEAU, Penepodium MENKE, Podium FABRICIUS, Sceliphron KLUG, Stangeella MENKE and Trigonopsis

Figs 1-3: Chalybion dolichothorax 6: (1) Clypeus, (2) mandible ventrobasally, (3) sternum VIII.

opencc-by-4.0Dec 2016View details →
zenodo36/100

Fig. 2 in Freshwater bryozoans in the backwaters of the Danube and Traun Rivers south-east of Linz, Upper Austria

Fig. 2: Location of sampling sites in nine water bodies in the floodplain area south-east of Linz.

opencc-by-4.0Jul 2006View details →
zenodo36/100

Abb. 3 in Die Coelichneumon-Arten (Hymenoptera, Ichneumonidae, Ichneumoninae) des Biologiezentrums Linz, Austria

Abb. 3: Apex des Metasomas von Coelichneumon longiterebra nov.sp..

opencc-by-4.0Dec 2008View details →
zenodo36/100

Abb. 5 in Die Coelichneumon-Arten (Hymenoptera, Ichneumonidae, Ichneumoninae) des Biologiezentrums Linz, Austria

Abb. 5: Punktierung der Coxa III von C. mesonotator nov.sp..

opencc-by-4.0Dec 2008View details →
zenodo36/100

Woerthersee sediment core data for the publication "Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria"

<p>This&nbsp;dataset comprises sediment core data&nbsp;of W&ouml;rthersee, a lake in the Eastern European Alps, Austria. Together with a dataset comprising the seismic data (10.5281/zenodo.6479186), this&nbsp;is the basis for the publication Daxer&nbsp;et al. &quot;Validation of seismic hazard curves using a calibrated 14 ka lacustrine record in the Eastern Alps, Austria&quot;.</p> <p>The files contain the following data:</p> <ul> <li>Core images Long Cores.zip: Core images of the W&ouml;rthersee Kullenberg-type&nbsp;long cores acquired with an ITRAX core scanner</li> <li>Core images Short Cores.zip: Core images of the W&ouml;rthersee gravity short cores (hammer-coring or trigger cores of the Kullenberg system) acquired with an ITRAX core scanner; provided as .tif files</li> <li>CT data WOER18-L5-X-Dicom.zip: X-ray computed tomography data acquired with a Siemens SOMATOM Definition AS (voxel size 0.2 x 0.2 x 0.3 mm); provided in DICOM format</li> <li>MSCL data.zip: Data acquired with a Geotek Multi-sensor core logger (e.g. magnetic susceptibility and gamma density); provided as Excel spreadsheets</li> <li>XRF data.zip: X-ray fluorescence data acquired with a ITRAX core scanner; provided in .csv format</li> </ul>

opencc-by-4.0Nov 2022View details →
zenodo36/100

Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2020/2021 – Austria

<p>This dataset contains AMR monitoring results in animals and food at the isolate level pursuant to Article 9 of Directive 2003/99/EC and to Annex, part B, of Commission implementing Decision (EU) 2020/1729. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision (EU) 2020/172. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2021 AMR data collection:&nbsp;Austrian Agency for Health and Food Safety</p>

opencc-by-4.0Mar 2023View details →
zenodo36/100

Absolute Gravity Measurements at the Alpine Research Centre in Obergurl (Austria) in September 2021

<p>This report contains the results of absolute gravity measurements carried out at Alpine Research Centre (University of Innsbruck) in Obergurgl. The measurements took place on the pier 0-173-02 (Figure 1) in September 2021.</p> <p>The absolute gravimeter FG5X#216 was operated by Olivier Francis and Raquel Navarro Buend&iacute;a from the University of Luxembourg.</p> <p>The measurements are part of an on-going research collaboration between the Geophysics Laboratory of the University of Luxembourg and Christian Ullrich and Helmut Titz from the Bundesamt f&uuml;r Eich- und Vermessungswesen (BEV, Federal Office of Metrology and Surveying) in Vienna, Austria.</p> <p>It is the fourth time we measured at this site. Measurements were previously performed in June, September 2018 and 2019. Due to the COVID-19 pandemic, we could not take measurements in 2020.</p>

opencc-by-4.0May 2022View details →
zenodo36/100

Machine-actionable data descriptions for Austria's digital landscape model

<p>The digital landscape model (DLM) is a compilation of several data sets that, among other things, form the data basis for official maps. It covers a variety of the 34 themes of the EU directive INSPIRE. The introduction of these themes enriched the metadata and made similar datasets easier to find. Unfortunately, the competent authority (BEV) only provides the associated data descriptions as a PDF export of an Excel spreadsheet without translations. This dataset contains the raw data and visualizations.</p>

opencc-by-4.0May 2023View details →
zenodo36/100

Absolute Gravity Measurements at the Alpine Research Centre in Obergurgl (Austria) in June 2019

<p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; This report contains the results of absolute gravity measurements carried out at Alpine Research Centre (University of Innsbruck) in Obergurgl in June 2019. The absolute gravimeter FG5X#216 was operated by Olivier Francis and Sajad Tabibi from the University of Luxembourg.&nbsp;The measurements are part of an on-going research collaboration between the Geophysics Laboratory of the University of Luxembourg and Christian Ullrich from the Bundesamt f&uuml;r Eich- und Vermessungswesen (BEV, Federal Office of Metrology and Surveying) in Vienna, Austria.&nbsp;It is the third time we measured at this site. Measurements were previously performed in June and September 2018.</p>

opencc-by-4.0Sep 2019View details →
zenodo36/100

TEAMx-PC22 (TEAMx pre-campaing 2022) – GeoSphere Austria ceilometer data

<p><strong>ABSTRACT</strong></p> <p><a href="https://www.geosphere.at/">GeoSpere Austria</a> is running operationally a ceilometer (<a href="https://www.vaisala.com/en/products/weather-environmental-sensors/ceilometers-CL31-CL51-meteorology">Vaisala CL51</a>) 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. Ceilometer data collected during the TEAMx pre-campaign 2022 (TEAMx-PC22) are 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 ceilometer (Vaisala CL51) is operated at Kufstein next to the meteorological station (12.1628&deg;E 47.5753&deg;N 490m asl).</p> <p>Provided are monthly NetCDF data sets, without data corrections.</p> <p><strong>Description of variables</strong></p> <table> <tbody> <tr> <td> <p>time_resol&nbsp;</p> </td> <td> <p>&nbsp;&quot;Mean time resolution of profiles&quot;</p> </td> <td> <p>&nbsp;units = &quot;s&quot;</p> </td> </tr> <tr> <td> <p>Mtime_resol</p> </td> <td> <p>&nbsp;&quot;Mean time resolution of ALH/MLH&quot;&nbsp;</p> </td> <td> <p>&nbsp;units = &quot;s&quot;</p> </td> </tr> <tr> <td> <p>range_resol</p> </td> <td> <p>&nbsp;&quot;Range resolution&quot;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> </td> <td> <p>&nbsp;units = &quot;m&quot;</p> </td> </tr> <tr> <td> <p>zenith_angle</p> </td> <td> <p>&nbsp;&quot;Zenith (Tilt) angle of device&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> </td> <td> <p>&nbsp;units = &quot;degrees&quot;</p> </td> </tr> <tr> <td> <p>times</p> </td> <td> <p>&nbsp;&quot;Decimal hours since start of data [UTC] (ALH/MLH)&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> </td> <td> <p>&nbsp;units = &quot;hours since yyy-mm-dd HH:MM:SS&quot;</p> </td> </tr> <tr> <td> <p>Mtimes</p> </td> <td> <p>&nbsp;&quot;Decimal hours since start of data [UTC] (ALH/MLH)&quot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</p> </td> <td> <p>&nbsp;units = &quot;hours since yyy-mm-dd HH:MM:SS&quot;</p> </td> </tr> <tr> <td> <p>range</p> </td> <td> <p>&nbsp;&quot;Range from Telescope to each range gate&quot;</p> </td> <td> <p>&nbsp;units = &quot;m&quot;</p> </td> </tr> <tr> <td> <p>real_range</p> </td> <td> <p>&nbsp;&quot;Projected range from Telescope to each range gate (w.r.t zenith angle)&quot;</p> </td> <td> <p>&nbsp;units = &quot;m&quot;</p> </td> </tr> <tr> <td> <p>displacement</p> </td> <td> <p>&nbsp;&quot;Displacement of each range gate (w.r.t zenith angle and altitude)&quot;</p> </td> <td> <p>&nbsp;units = &quot;m&quot;</p> </td> </tr> <tr> <td> <p>bsp</p> </td> <td> <p>&nbsp;&quot;Attenuated Back Scatter Profile Signal&quot;</p> </td> <td> <p>&nbsp;units = &quot;Mm**-1 sr**-1&quot;</p> </td> </tr> <tr> <td> <p>cbh</p> </td> <td> <p>&nbsp;&quot;List of Cloud-Base-Heights [agl] (lowest to highest)&quot;</p> </td> <td> <p>&nbsp;units = &quot;m&quot;</p> </td> </tr> </tbody> </table> <p>Contact: kathrin.baumann-stanzer@geosphere.at</p>

opencc-by-4.0Aug 2023View details →
zenodo36/100

TUdi-Vinedivers_Vineyard_Soil_Data_Austria

<p>Dataset of soil properties from the TUdi/Vinedivers vineyard management experiments in Austria</p>

opencc-by-4.0Sep 2023View details →
zenodo36/100

Data for modelling of bark beetle damage and outbreaks in Austria

<p>The data shows salvage logging amounts caused by the European spruce bark beetle (Ips typographus) in Austrian political district resolution combined with climatic and forest structure parameters for the same year and district.</p> <p>The data set comprises of 6 files:</p> <ul> <li><strong>Data_Geography.csv</strong>&nbsp; <strong>:</strong>&nbsp; Collected data of the considered political districts of Austria, naming convention for the rest of the files, total area, population and population density of 2023, number of municipalities and the reference latitude, longitude and elevation for the &quot;district center&quot; chosen in this analysis.<br> &nbsp;</li> <li><strong>Data_Climate_AUTDistrictCenters.csv</strong>&nbsp; <strong>:</strong>&nbsp; Data extracted or calculated from Copernicus E-OBS Dataset and mapped to reference district centers given in the&nbsp;<em>Data_Geography.csv</em> file. Climate parameters include temperatures (minimum, maximum, average), precipitation, humidity, radiation, windspeed plus bark beetle-relevant calculated parameters like degreedays, estimated start and end date of brooding season, and frostdays during winter that indicate overwintering success of bark beetles.<br> &nbsp;</li> <li><strong>Data_BMLRT_AnnualLoggingReports.xlsx</strong>&nbsp; <strong>:</strong>&nbsp; Collected data from Austrian logging reports in political district-resolution, stating salvage logging from bark beetle and storm damage to deciduous trees yearly from 2003-2022. Units are Efm (harvest cubic meters), Vfm (stcok cubic meters) and ha (hectar). Around 95% of bark beetle damages to deciduous trees were identified to be caused by <em>Ips typugraphus</em> to <em>Picea abies</em>.<br> &nbsp;</li> <li><strong>Data_BWF_DocumentationOfForestdamagefactors.xlsx</strong>&nbsp; <strong>:</strong>&nbsp; Collected data from Austrian documentation of forest damaging agents mostly in federal state-level resolution, stating bark beetle and storm damage to forests from 1989-2022.<br> &nbsp;</li> <li><strong>Data_BWF_ForestInventory.csv</strong>&nbsp; <strong>:</strong>&nbsp; Collected data from Austrian forest inventories in political district-resolution yearly from 1996-2021, including total district area , total forest area, total coniferous forest area, total spruce area and associated shares and stocks, as well as some scarce data on dead wood.<br> &nbsp;</li> <li><strong>Data_Merged_NaNcleared.csv</strong>&nbsp;<strong> :</strong>&nbsp; Table that contains all overlapping and imputed data from above, cleared of NaN values. Ready for further calculations or analysis.</li> </ul> <p>&nbsp;</p> <p>The python scripts for calculating the present (and more) bark beetle-relevant parameters can be found on GitHub: <em>https://github.com/nadinefreistetter/barkbeetle_outbreak_scripts</em>&nbsp; in .ipynb format.</p> <p>&nbsp;</p> <blockquote> <p>These data were prepared for the International Institute of Applied Systems Analysis Young Scientists Summer Program 2023. The report will be available online in 2024. The work of Freistetter has been carried out with funding from the Academy of Finland (decision number 341311).</p> </blockquote>

opencc-by-4.0Sep 2023View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record

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