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558 results for “austria”
Meteorological time series recorded at the station implemented in OAL-Austria
<p>Time series of meteorological variables recorded at the station implemented in OAL-Austria with the following senors:</p> <p>Variable | Unit | Sensors | Measurement<br> AT | degC | Judd, HMP45 | 60 min Avg<br> RH | % | HMP45 | 60 min Avg<br> SR | W/m2 | Pyranometer SP-Lite | 60 min Avg<br> WS | m/s | Wind wheel A100R | 60 min Avg + Max<br> JD | cm | Judd Ultraschall | 60 min burst<br> VSWD | cm | Yard stick+DCIM | daily<br> SLT | degC | TDR-315L in 15, 30 and 50cm depth | 60 min burst - Avg<br> SLVW | % | TDR-315L in 15, 30 and 50cm depth | 60 min burst - Avg<br> P | mm/m2 | ARG100 (during summer season) | 60 min Total</p> <p> </p> <p>Location: 11.596024 E, 47.267723 N, elevation: 1090m a.s.l.</p>
Antimicrobial resistance monitoring results complementing the European Union Summary Report on Antimicrobial Resistance in zoonotic and indicator bacteria from humans, animals and food in 2019/2020 – 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 2013/652/EU. In addition, the dataset includes any other results from isolates than the ones mentioned in the Commission implementing Decision 2013/652/EU. The quantitative minimum inhibitory concentration (MIC) data from dilution methods are included.</p> <p>Reporting authorities contributing to 2020 AMR data collection: Austrian Agency for Health and Food Safety</p>
Villa of Gries/Oberndorf an der Melk | Austria
### Roman Rural Landscapes in Noricum | PhD project The Roman rural site of *Gries/Oberndorf a. d. Melk* in Lower Austria is located on the left bank of the river Melk – geophysical surveys revealed archaeological structures that can be assigned to a Roman* villa rustica* located in the hinterland of the *limes* and of the Roman city *Aelium Cetium* (today's [Sankt Pölten](https://en.wikipedia.org/wiki/Sankt_P%C3%B6lten)). 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/node/240068869) Source: Objaverse 1.0 / Sketchfab
Fig. 4 in Pliensbachian, Early Jurassic radiolarians from Mount Rettenstein in the Northern Calcareous Alps, Austria
Fig. 4. Stratigraphy and lithology of the Mount Rettenstein succession sensu stricto.
Fig. 1 in Occurrence of pathogens in populations of Ips typographus, Ips sexdentatus (Coleoptera, Curculionidae, Scolytinae) and Hylobius spp. (Coleoptera, Curculionidae, Curculioninae) from Austria, Poland and France
Fig. 1. Sampling sites in Austria (no. 1–22), Poland (no. 23–34) and France (no. 35–46).
Figure 3 in Anthrenus (Anthrenus) querneri (Coleoptera: Dermestidae: Megatominae), a new species from Austria
Figure 3. Location of collection of Anthrenus querneri holotype.
Risks of Transition Pathways of the Steel and Electricity Sectors – The Case of Austria
<p>This dataset contains the underlying data for the following publication: <strong>Risks of Transition Pathways of the Steel and Electricity Sectors – The Case of Austria], [upcoming in TRANSrisk Special Issue in Environmental Innovation and Societal Transitions (EIST)], [https://www.journals.elsevier.com/environmental-innovation-and-societal-transitions/].</strong></p>
Age distribution Austria vs. Vienna
<p>The Figures produced from the Data Stewardship Project.</p>
Finding The Impact of GDP on Education Attainment in Austria - Datasets
<p>Finding The Impact of GDP on Education Attainment in Austria - Datasets</p>
Long-term data from field erosion plot studies in eastern Austria
<p>Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam.</p> <p>Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.</p>
Long-term data from field erosion plot studies in eastern Austria
<p>Long-term runoff plot experiments were conducted at three sites in eastern Austria to evaluate the impact of conservation tillage. Following soil tillage treatments were investigated: 1) conventional tillage with ploughing in fall (CT), 2) mulch tillage with cover crops during winter period (MT), and 3) no tillage with cover crops during winter period (NT). Soil textures range from silt loam to loam.</p> <p>Datasets include for each site and each year the period of operation of the plots, the planted crop, the annual precipitation, surface runoff, soil loss, surface losses of nitrogen, phopshorus and soil organic carbon as well as absolute and relative crop yields.</p>
50 Years of Art Song & Gender on Major European Stages, Part 1 (Austria): Vienna's Konzerthaus, Musikverein & Salzburg Festspiele Song Recitals 1970 - 2020
<p>3 .csv files containing names, years and gender breakdown (m=male, f=female, b=both) of pianists, singers, and composers featured vocal recitals on the three most prestigious stages in Austria, the Musikverein an Konzerthaus in Vienna and at the Salzburger Festpiele between 1970 and 2020.</p> <p>Data was scraped by the author from the Festspiele digital archive (https://archive.salzburgerfestspiele.at/archiv), the concert archives of the Gesellschaft der Musikfreunde in Wien (https://www.musikverein.at/en/archive/) and the Konzerthaus databank (https://konzerthaus.at/datenbanksuche) and is part of an ongoing project to visibilize the gendered nature of collaborative piano at the most prestigious levels. Thanks to Diána Fuchs (https://diana-fuchs.com/) who assisted with the collection of the Musikverein data, with the support of Melanie Unseld at the Department of Musicology and Performance Studies at the mdw - University of Music and Performing Arts Vienna.</p>
Regional-scale assessment of groundwater recharge and the water balance for Austria
<p><strong>Version 1.0 - This version is the final revised one. <br></strong></p> <p>This dataset accompanies the paper: Zeitfogel et al. (2025), Regional-scale assessmentof groundwater recharge and the water balance for Austria, published at Journal of Hydrology: Regional Studies.</p> <p>The dataset includes spatially distributed maps of groundwater recharge rates, precipitation, runoff, and actual evapotranspiration for Austria, resulting from an Austria-wide implementation of the rainfall-runoff model COSERO. By downloading these datasets, you acknowledge that neither the authors nor the providers of the source datasets can be held liable for the accuracy or completeness of the data.</p> <p>The model parameterization of soil information was based on regionalized soil hydraulic property maps.</p> <p>The basins_info file provides spatial information about the delinated model basins, the corresponding gauges, and the calibration stages. </p> <p>This study was funded by the Austrian Academy of Science (Project RechAUT), the Austrian Federal Ministry of Agriculture, Regions and Tourism (Project InfCapAT), and by the Austrian Climate Research Program (ACRP) - 14th call, under grant agreement No. KR21KB0K00001 (HyMELT-CC).</p>
High-resolution (250x250m) gridded daily mean wind speed dataset for Austria spanning from 1961 to 2023
<p>Overview:</p> <p><strong>Resolution</strong>: 250x250 m<br><strong>Projection</strong>: EPSG 31287, Austria Lambert<br><strong>Extent</strong>: Austria <br><strong>Period </strong>: 1961-2023<br><strong>Format:</strong> NetCDF</p> <p>Application:</p> <p>High-resolution gridded climate data derived from in-situ observations play a crucial role in global and regional climatology. The data are a valuable input for further climate impact studies, particularly in ecological and energy modelling, and can be subsequently used for wind power potential analysis. Moreover, policymakers can make informed decisions based on accurate climate information derived from this dataset, enhancing the effectiveness of climate-related policies and interventions. Additionally, the data can be used for model evaluation and bias adjustment.</p> <p>Methods:</p> <p>1. Data homogenization</p> <p>Breaks in the station data time series were detected and corrected using the Standard Normal Homogeneity Test (SNHT), which identifies where the mean changes the most. If this change exceeds a certain threshold, the time series is adjusted by aligning the statistical distribution of values before the change to those after the change, assuming the most recent time series is correct. This adjustment is achieved using the Quantile Mapping (QM) approach.</p> <p>2. Spatial interpolation</p> <p>All methods were tested in a nested 10-fold cross-validation (CV) scheme. This means that 10 % of the stations are left out (outer loop), and the other 90 % are used for training the model (inner loop). The outer loop is solely used for validating the model, whereas the inner loop serves for model optimization.</p> <p>A two-stage approach was applied. Initially, a background field - the climatology for each month - was calculated using Random Forest Regression (RFR) with a defined set of predictors. Subsequently, model residuals were spatially interpolated using the 3D Inverse Distance Weighting (3D IDW) method. Differences between daily values and corresponding monthly climatologies were also interpolated using 3D IDW. The final daily mean wind speed field is calculated by adding the monthly climatology fields to the interpolated daily residuals.</p>
FIG. 12 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 12. – Relative species distribution (% NISP) according to feature types, skeletons excluded.
FIG 10. – Animal bone assemblage from inhumation grave 9 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG 10. – Animal bone assemblage from inhumation grave 9.
FIG. 5. – Field ditch O128 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 5. – Field ditch O128 with bone accumulation.
FIG. 2 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 2. – Cemetery of Halbturn: A, distribution of field ditches; B, grave gardens.
FIG. 7 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 7. – Halbturn, weight (in kg) of determined animal remains from feature types.
FIG. 6 in Roman graves and rural rubbish. Animal remains from the Roman cemetery of Halbturn, Austria
FIG. 6. – Halbturn, NISP of animal remains from different feature types
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.