Evidence map›Paper›PMID 36909013›Full record

ArticleData in brief2023

High-resolution data and maps of material stock, population, and employment in Austria from 1985 to 2018.

Franz Schug, Dominik Wiedenhofer, Helmut Haberl, David Frantz, Doris Virág, Sebastian van der Linden, Patrick Hostert

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In one paragraph

Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Franz SchugGeography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin 10099, Germany.
Dominik WiedenhoferInstitute of Social Ecology, University of Natural Resources and Life Sciences Vienna, Schottenfeldgasse 29, Vienna 1070, Austria.
Helmut HaberlInstitute of Social Ecology, University of Natural Resources and Life Sciences Vienna, Schottenfeldgasse 29, Vienna 1070, Austria.
David FrantzGeoinformatics - Spatial Data Science, Trier University, Behringstraße 21, Trier 54296, Germany.
Doris VirágInstitute of Social Ecology, University of Natural Resources and Life Sciences Vienna, Schottenfeldgasse 29, Vienna 1070, Austria.
Sebastian van der LindenInstitute of Geography and Geology, University of Greifswald, Friedrich-Ludwig-Jahnstraße 18, Greifswald 17489, Germany.
Patrick HostertGeography Department, Humboldt-Universität zu Berlin, Unter den Linden 6, Berlin 10099, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-resolution maps of material stocks in buildings and infrastructures are of key importance for studies of societal resource use (social metabolism, circular economy, secondary resource potentials) as well as for transport studies and land system science. So far, such maps were only available for specific years but not in time series. Even for single years, data covering entire countries with high resolution, or using remote-sensing data are rare. Instead, they often have local extent (e.g., [1]), are lower resolution (e.g., [2]), or are based on other geospatial data (e.g., [3]). We here present data on the material stocks in three types of buildings (commercial and industrial, single- and multifamily houses) and three types of infrastructures (roads, railways, other infrastructures) for a 33-year time series for Austria at a spatial resolution of 30 m. The article also presents data on population and employment in Austria for the same time period, at the same spatial resolution. Data were derived with the same method applied in a recent study for Germany [4].

Indexed as

BuildingsChange aftereffect trend analysisIndustrial ecologyInfrastructureLandsatSocio-economic metabolismTime series analysis

Identifiers

PMID36909013
PMCPMC9999155

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.