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Roman Rural Landscapes in Noricum | Open Science

The PhD project wants to actively contribute to the idea of Open Science. Therefore, digital copies of all contributions will be available as download for free and are provided under a CC BY 4.0 license wherever possible at this portal. In addition, the project's outputs are systematically recorded and made public at u:cris, the Current Research Information System (CRIS) of the University of Vienna. Furthermore, the project's digital research data (provided under a CC BY 4.0 license or similar) are available via Phaidra at this portal for free to guarantee an unrestricted open access to the data.

 Publications

Showing entries 1 - 6 out of 6

2020

Rural Landscapes in Noricum : Studying the ancient hinterland of a Roman province. / Hagmann, Dominik.

Berlin : ScienceOpen. 2020, Online poster publication.

Publications: Other publication › Other

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Digitale Archäologie in einer sozialen Dimension : Überlegungen zu sozialer Inklusion und Open Science in der digitalarchäologischen Praxis. / Hagmann, Dominik.

Akten des 17. Österreichischen Archäologentages am Fachbereich Altertumswissenschaften, Klassische und Frühägäische Archäologie der Universität Salzburg vom 26. bis 28. Februar 2018. ed. / Lydia Berger; Lisa Huber; Felix Lang; Jörg Weilhartner. Salzburg : Universität Salzburg, 2020. p. 121-130 (ArchaeoPlus : Schriften zur Archäologie und Archäometrie der Paris Lodron-Universität Salzburg, Vol. 11).

Publications: Contribution to book › Contribution to proceedings › peer-review

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Untersuchungen zur ländlichen Besiedlung im nördlichen Hinterland Noricums. / Hagmann, Dominik (Corresponding author).

In: Forum Archaeologiae - Zeitschrift für klassische Archäologie, Vol. 94, No. 3, 13.03.2020, p. 1-3.

Publications: Contribution to journal › Article › peer-review

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Archäologische Georadarmessungen im Stift Göttweig. / Langendorf, Alarich; Steininger, Andreas; Lindinger, Volker et al.

Beiträge zum Tag der Niederösterreichischen Landesarchäologie 2020. ed. / Franz Pieler; Jakob Maurer. Asparn an der Zaya : MAMUZ Schloss Asparn/Zaya, 2020. p. 87.

Publications: Contribution to book › Contribution to proceedings

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Digitizing the Roman Rural Landscape in Noricum : Möglichkeiten und Grenzen digitalarchäologischer Studien zum Hinterland einer römischen Provinz. / Hagmann, Dominik.

Beiträge zum Tag der Niederösterreichischen Landesarchäologie 2020. ed. / Franz Pieler; Jakob Maurer. Asparn an der Zaya : MAMUZ Schloss Asparn/Zaya, 2020. p. 63-70.

Publications: Contribution to book › Contribution to proceedings

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2019

Roman Rural Landscapes in Noricum : Archäologische Untersuchungen zur römischen Besiedlung im Hinterland Nord-Noricums. / Hagmann, Dominik.

Beiträge zum Tag der Niederösterreichischen Landesarchäologie 2019. ed. / Franz Pieler; Peter Trebsche. Asparn a. d. Zaya : Wissenschaftliche Publikationen aus den Landessammlungen Niederösterreich, 2019. p. 99-107.

Publications: Contribution to book › Contribution to proceedings › peer-review

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Showing entries 1 - 6 out of 6

 Phaidra | Open Data und Langzeitarchivierung

Data related to the PhD project "Roman Rural Landscapes in Noricum" may be obtained via the long term archiving system Phaidra of the University of Vienna.

Title

o:1991665 Roman Rural Landscapes in Noricum - Sites (CSV) : Roman settlement places - open dataset
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o:1991293 Roman Rural Landscapes in Noricum - Sites (CSV/MGI) : Roman settlement places - open dataset

Roman Rural Landscapes in Noricum - Sites (CSV/MGI) : Roman settlement places - open dataset
Data set on the Roman sites of the Area of Interest (AOI) of the PhD project "Roman Rural Landscapes in Noricum" by Dominik Hagmann. The dataset is based on fundamentally revised and modified queries of the archaeological site database... show more
Data set on the Roman sites of the Area of Interest (AOI) of the PhD project "Roman Rural Landscapes in Noricum" by Dominik Hagmann. The dataset is based on fundamentally revised and modified queries of the archaeological site database ("Fundstellendatenbank") of the Austrian Federal Monuments Office. The sites were defined based on findspots by applying a geostatistical method, using the "Density-based Spatial Clustering of Applications with Noise" algorithm (DBSCAN; after Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In E. Simoudis, J. Han, & U. Fayyad (Eds.), Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (pp. 226-231). AAAI Press. https://aaai.org/Papers/KDD/1996/KDD96-037.pdf), implemented in QGIS software (https://github.com/qgis/QGIS-Documentation/blob/master/docs/user_manual/processing_algs/qgis/vectoranalysis.rst#dbscan-clustering), as a density-based data clustering method. Each site represents a corresponding number of find spots within a particular search radius. For the real-space location, the findspots were matched with the OpenStreetMap dataset (OSM, obtained from https://download.geofabrik.de/).
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creativecommons.org/licenses/by/4.0/

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o:1991585 Roman Rural Landscapes in Noricum - Sites (CSV/WGS84) : Roman settlement places - open dataset

Roman Rural Landscapes in Noricum - Sites (CSV/WGS84) : Roman settlement places - open dataset
Data set on the Roman sites of the Area of Interest (AOI) of the PhD project "Roman Rural Landscapes in Noricum" by Dominik Hagmann. The dataset is based on fundamentally revised and modified queries of the archaeological site database... show more
Data set on the Roman sites of the Area of Interest (AOI) of the PhD project "Roman Rural Landscapes in Noricum" by Dominik Hagmann. The dataset is based on fundamentally revised and modified queries of the archaeological site database ("Fundstellendatenbank") of the Austrian Federal Monuments Office. The sites were defined based on findspots by applying a geostatistical method, using the "Density-based Spatial Clustering of Applications with Noise" algorithm (DBSCAN; after Ester, M., Kriegel, H.-P., Sander, J., & Xu, X. (1996). A density-based algorithm for discovering clusters in large spatial databases with noise. In E. Simoudis, J. Han, & U. Fayyad (Eds.), Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (pp. 226-231). AAAI Press. https://aaai.org/Papers/KDD/1996/KDD96-037.pdf), implemented in QGIS software (https://github.com/qgis/QGIS-Documentation/blob/master/docs/user_manual/processing_algs/qgis/vectoranalysis.rst#dbscan-clustering), as a density-based data clustering method. Each site represents a corresponding number of find spots within a particular search radius. For the real-space location, the findspots were matched with the OpenStreetMap dataset (OSM, obtained from https://download.geofabrik.de/).
show less

License

creativecommons.org/licenses/by/4.0/

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