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Just released: Glottolog 5.3

Get the full data at
https://doi.org/10.5281/zenodo.18840935
or the CLDF dataset at
https://doi.org/10.5281/zenodo.18840967
or browse at https://glottolog.org

glottolog/glottolog: Glottolog database 5.3

Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2026. Glottolog 5.3. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://glottolog.org)

Zenodo
Note that you can easily inspect the individual datasets from which the aggregation was assembled by browsing https://github.com/D-PLACE/dplace-cldf/tree/master/raw/phylogenies and https://github.com/D-PLACE/dplace-cldf/tree/master/raw/datasets
dplace-cldf/raw/phylogenies at master · D-PLACE/dplace-cldf

D-PLACE data serialized as CLDF StructureDataset. Contribute to D-PLACE/dplace-cldf development by creating an account on GitHub.

GitHub
Bugfix at https://doi.org/10.5281/zenodo.17617220
The previous release did not contain the summary trees for the added phylogenies.
D-PLACE aggregated dataset

Cite the source of the dataset as: Kathryn R. Kirby, Russell D. Gray, Simon J. Greenhill, Fiona M. Jordan, Stephanie Gomes-Ng, Hans-Jörg Bibiko, Damián E. Blasi, Carlos A. Botero, Claire Bowern, Carol R. Ember, Dan Leehr, Bobbi S. Low, Joe McCarter, William Divale, and Michael C. Gavin. (2016). D-PLACE: A Global Database of Cultural, Linguistic and Environmental Diversity. PLoS ONE, 11(7): e0158391. doi:10.1371/journal.pone.0158391.

Zenodo
We just released a new version of the aggregated [D-PLACE](https://d-place.org) dataset. Find the CLDF dataset at
https://doi.org/10.5281/zenodo.17610140
See what's new at
https://github.com/D-PLACE/dplace-cldf/blob/master/CHANGELOG.md#v320
D-PLACE -

literally how do you publish a paper about a software package without posting the code. the paper is totally meaningless, you might as well have just made up the whole thing. how do you even review it? and why? i'm not going to take someone's word that software does something when the whole purpose of writing about software is to say that people can do something with it

‪Just learned that our study introducing Lexibank 2 (Blum et al. @fblum ) has passed peer review with Open Research Europe. We will revise with reviewers' comments, but the study is accepted, Lexibank 2 is now official.

Lexibank 2: pre-computed features for large-scale lexical data

https://doi.org/10.12688/openreseurope.20216.1

Just released: Glottolog 5.2

Get the full data at
https://doi.org/10.5281/zenodo.15525265
or the CLDF dataset at
https://doi.org/10.5281/zenodo.15525250
or browse at https://glottolog.org

glottolog/glottolog: Glottolog database 5.2

Hammarström, Harald & Forkel, Robert & Haspelmath, Martin & Bank, Sebastian. 2025. Glottolog 5.2. Leipzig: Max Planck Institute for Evolutionary Anthropology. (Available online at https://glottolog.org)

Zenodo

A new paper with Michele Pulini appeared as part of the proceedings on Ancient Language Processing.

Using Cross-Linguistic Data Formats to Enhance the Annotation of Ancient Chinese Documents Written on Bamboo Slips

https://aclanthology.org/2025.alp-1.4/

Using Cross-Linguistic Data Formats to Enhance the Annotation of Ancient Chinese Documents Written on Bamboo Slips

Michele Pulini, Johann-Mattis List. Proceedings of the Second Workshop on Ancient Language Processing. 2025.

ACL Anthology
Quantitative and qualitative Data on historical Vertebrate Distributions in Bavaria 1845 - Scientific Data

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.

Nature

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