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291 to 300 of 301 Results
Adobe PDF - 3.3 MB - MD5: 9086766c81957a16cf74d66ff2689bda
Chronology of French higher education and research policies from the 12th century to 2012 with focus on the years 2002 until 2012, compiled as part of my PhD on "Excellence and Égalité. French higher education and research policies between global aspirations and national implementation (2002-2012)" (University of Leipzig, 2022). Included are: found...
Dec 23, 2022 - Sonderforschungsbereich (SFB) 1199
Sattler, Markus, 2022, "Data for: "Visualizing the ‘global knowledge economy’"", https://doi.org/10.48736/GD12DGKZK, GlobeData, V1, UNF:6:H2jl8SZAooMelo4B5cCJyw== [fileUNF]
This dataset contains a variety of world economic indicators that are the foundation of a map that was published in Regional Studies, Regional Science entitled " Visualizing the ‘global knowledge economy’". Data include shares of aggregated GDP, import, export, and business of all world regions. Further contextualisation can be found in the journal...
Adobe PDF - 891.1 KB - MD5: 2d29e7a69ec29675015d7aff7044b578
The codebook provides documentation for the Excel sheet that contains the data.
Tabular Data - 1.2 KB - 9 Variables, 14 Observations - UNF:6:H2jl8SZAooMelo4B5cCJyw==
Dec 19, 2022 - Sonderforschungsbereich (SFB) 1199
Wöll, Steffen, 2022, "Discursive Map: An Attempt at Visualizing the Transnational Trajectories of Spatial Imaginations in R.H. Dana’s 'Two Years Before the Mast' (1840)", https://doi.org/10.48736/GD1RJN6HK, GlobeData, V1
This dataset contains a map that was created on the basis of interpretations of spatial imaginations in R.H. Dana's Two Years Before the Mast. Documentation is provided through an accompanying text. Further contextualisation can be found in the journal article (related publication, see below).
Dec 16, 2022
Ommert, Eva, 2022, "Semantic environment of spatial semantics in the Encyclopédie", https://doi.org/10.48736/GD1HEZTNE, GlobeData, V2
This dataset contains a preliminary analysis of spatial semantics found in the Encyclopédie. The software used to analyse the semantic environment is Corpora.
Plain Text - 5 B - MD5: e1b849f9631ffc1829b2e31402373e3c
lorem
Plain Text - 5 B - MD5: c454552d52d55d3ef56408742887362b
ipsum
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