Evidence map›Paper›PMID 40155652›Full record

ArticleScientific data2025

Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845.

Malte Rehbein, Belen Escobari, Sarah Fischer, Anton Güntsch, Bettina Haas, Giada Matheisen, Tobias Perschl, Alois Wieshuber, Thore Engel

Abstract readDatasetHistorical Article
In one paragraph

Article in Scientific data, 2025. 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

9 authors.

Malte RehbeinChair of Computational Humanities, University of Passau, Passau, Germany. malte.rehbein@uni-passau.de.ORCID http://orcid.org/0000-0002-3252-0604
Belen EscobariFreie Universität Berlin, Botanic Garden and Botanical Museum Berlin. Center for Biodiversity Informatics and Collection Data Integration (ZBS), Berlin, Germany.ORCID http://orcid.org/0000-0002-4588-3180
Sarah FischerResearch Institute for Farm Animal Biology (FBN) Dummerstorf, Dummerstorf, Germany.ORCID http://orcid.org/0000-0002-6218-7275
Anton GüntschFreie Universität Berlin, Botanic Garden and Botanical Museum Berlin. Center for Biodiversity Informatics and Collection Data Integration (ZBS), Berlin, Germany.
Bettina HaasChair of Computational Humanities, University of Passau, Passau, Germany.
Giada MatheisenGeneraldirektion der Staatlichen Archive Bayerns, Munich, Germany.ORCID http://orcid.org/0009-0001-5407-7041
Tobias PerschlChair of Computational Humanities, University of Passau, Passau, Germany.
Alois WieshuberGeneraldirektion der Staatlichen Archive Bayerns, Munich, Germany.ORCID http://orcid.org/0009-0001-7010-7968
Thore EngelInstitute of Biodiversity, Friedrich Schiller University Jena, Jena, Germany.ORCID http://orcid.org/0000-0002-9245-4397

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 442032008
6 · The paper itself

Abstract

Archival collections contain an underutilized wealth of biodiversity data, encapsulated in government files and other historical documents. In 1845, the Bavarian government conducted a comprehensive national survey on the occurrence of 44 selected vertebrate species across the country. The detailed expert responses from 119 forestry offices, totalling 520 handwritten pages, have been preserved in the Bavarian State Archives. In this study, we digitized, annotated, geographically referenced, and published these historical records, making them widely available as data for research and conservation planning. Our dataset, openly accessible through the Global Biodiversity Information Facility (GBIF) and Zenodo, contains 5,467 species occurrence records from 1845. Besides the binary presence/absence data, we have also published the original textual survey responses, which contain rich qualitative information, such as species abundances, population trends, habitats, forest management practices, and human-nature relationships. This information can be further processed and interpreted to address a range of questions in historical and contemporary ecology.

Indexed as

Animal DistributionBiodiversityVertebratesAnimalsEcosystemGermanyHistory, 19th Century

Identifiers

PMID40155652
PMCPMC11953396

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.