research data . Dataset . 2021

Historical dataset of mills for Galicia in the Austro-Hungarian Empire/southern Poland from 1880 to the 1930s.

Ostafin, K;
Open Access
  • Published: 20 Aug 2021
  • Publisher: Mendeley
  • Country: Netherlands
Abstract
We present the dataset of mills from 1880 and 1920s-1930s in the area of the former Galicia (78,500 km2), now in Ukraine and Poland. We found 4,022 mill locations for 1880 and 3,588 for the 1920s-1930s. We present them as shapefile, GML, GeoJSON, KML formats with attributes for seven types of mills for 1880 and ten types of mills for 1920s-1930s, and mills counted in a 10 km grid. Our data contains two point layers and six grid layers (10 km side squares). All data is available in an open shapefile, GML, GeoJSON, KML formats, commonly used in Geographic Information Systems. Point layers contain the following attributes for each of the mills: auto-numbered numeric identifier (ID), type (Type), map sheet date (Map_year), longitude (Long), and latitude (Lat). According to the legend of these maps and explanations, the following types of mills can be distinguished for 1880: 1 – Gristmill (ger. Fruchtmühle), 2 – Sawmill (ger. Sägemühle), 3 – Paper mill (ger. Papiermühle), 4 – Powder mill (ger. Pulvermühle), 5 – Fulling mill (ger. Walkmühle), 6 – Windmill (ger. Windmühle), 7 – Ship mill, (ger. Schiffmühle). For the 1920s-1930s, the following types of mills were distinguished according to the legend of these maps and explanations. 1 – Watermill, 2 – Steam mill, 3 – Sawmill, 4 – Sawmill with water wheel, 5 – Motor sawmill, 6 – Steam sawmill, 7 – Steam mill, 8 – Windmill, 9 – Wind turbine, 10 – Ship mill. A reference grid designed by the European Environment Agency (EEA) in the ETRS 1989 LAEA projection (EPSG 9820) was used to create the grid layers, consisting of cells with sides of 10 km. In the set we provide, it contains the following attributes: auto-numbered numeric identifier of the cell (FID), cell code (CellCode), east (EofOrigin) and north (NofOrigin) cell start coordinates and an attribute (Count) in which aggregated mill types are counted for each cell: gristmills, sawmills, windmills The data can be used in economic, demographic and environmental reconstructions, e.g. to estimate historical anthropopressure related to settlement, agriculture and forestry. Mills are often associated with river structures such as floodgates, dams, and millraces and therefore they are a good example of human interference in river ecosystems. They can also be one criteria for identifying areas where the local population used traditional environmental knowledge. It can be useful for a contemporary assessment of the environment’s suitability for devices using renewable energy sources. Finally, the data on the remains of former mills is suitable for the protection of cultural heritage sites that are technical monuments related to traditional food processing and industry. This research was funded by the Ministry of Science and Higher Education, Republic of Poland under the frame of “National Programme for the Development of Humanities” 2015–2021, as a part of the GASID project (Galicia and Austrian Silesia Interactive Database 1857–1910, 1aH 15 0324 83)
Subjects
free text keywords: History, Engineering, Geography, Historical Geography, Heritage, Historical Ecology, Interdisciplinary sciences
Communities
  • Digital Humanities and Cultural Heritage
  • Social Science and Humanities
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Open Access
Mendeley Data
Dataset . 2021
Providers: Mendeley Data
Open Access
Mendeley Data
Dataset . 2021
Providers: Mendeley Data
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