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Record W6911955161 · doi:10.5281/zenodo.15375279

Range Database

2025· dataset· en· W6911955161 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsMcGill University
Fundersnot available
KeywordsRange (aeronautics)HabitatDistribution (mathematics)Spatial distributionWestern europeMountain range (options)

Abstract

fetched live from OpenAlex

The Range Database contains data, at a low spatial resolution (50 x 50 km), on the Eurasian historical distribution of brown bear, areas of current presence and areas which were occupied in the past but where the species has been extirpated. We used 10 different sources of historical data for brown bear, below we report the area of study, the map/figure/data within the publication and the century: for Spain we used data obtained from “Anotaciones al “Libro de la Montería” del Rey Alfonso XI. “(Valverde 2009) (XIV Century), for North West of Spain (Galicia) the figure 1 from “A conservación do oso pardo en Galicia” (Naves & Fernández-Gil 2017) (XVIII Century), for North of Spain (Cantabrian Mountains) the figure 6.16 from “Bears. Status Survey and Conservation Action Plan” (Servheen et al. 1999) (XIX Century), for Portugal we used figure 1 from “Research trends and geographical distribution of mammalian carnivores in Portugal” (SW Europe) (Bencatel et al. 2018) (XVII Century), for Portugal we also used the figure 1 from “Historical presence of Brown bear in Portugal and evidence of its relation with human communities” (Álvares & Domingues 2010) (XVI-XVIII Centuries), for France we used the data from figure “Répartition de lÓurs brun en France” from the “Encyclopédie des carnivores de France”(Parde & Camarra 1992) (XV-XVI Centuries), figure 1 from “A habitat model for brown bear conservation and land use planning in the central Apennines” (Posillico et al. 2004) (XVI-XVIII Centuries), for the former Yugoslavian countries from figure 6.19 from “Bears. Status Survey and Conservation Action Plan” (Servheen et al. 1999) (XIX Century), for Greece from figure 6.8 from “Bears. Status Survey and Conservation Action Plan” (Servheen et al. 1999) (II Century), and the historical distribution for brown bear for Eurasia from the IUCN Red List (McLellan et al. 2017) (XVI-XX Centuries). FILES INCLUDED Files name Period Source Hist_range_Spain_varios_LAEA 14th Century Valverde 2009 Hist_range_Sp_Gal_Nav_LAEA 18th Century Naves & Fernández-Gil 2017 Hist_range_Spain_1800_LAEA 19th Century Servheen et al. 1999 Portugal_Bencatel_et_al_range_3035_v1 17th Century Bencatel et al. 2018 Portugal_Alvares_and_Domingues_rangeConfirmado_3035_v1 16th-18th Centuries Álvares & Domingues 2010 France_XV_XVI_range_3035_v1 15-16th Centuries Parde & Camarra 1992 Italy_historical_range_3035_v1 16-18th Centuries Posillico et al. 2004 Yugoslavia_1800_range_3035 19th Century Servheen et al. 1999 Greece_II_century_range_3035_v2 2nd Century Servheen et al. 1999 species_41688_dis2 16-20th Centuries McLellan et al. 2017 REFERENCES Álvares F, Domingues J. 2010. Presence histórica do urso em Portugal e testemunhos da sua relação com as comunidades rurais. AÇAFA On Line 3:www.altotejo.org. Bencatel J, Ferreira CC, Barbosa AM, Rosalino LM, Álvares F. 2018. Research trends and geographical distribution of mammalian carnivores in Portugal (SW Europe). PLoS One 13:e0207866 DOI: 10.1371/journal.pone.0207866. McLellan BN, Proctor MF, Huber D, Michel S 2017. Ursus arctos (amended version of 2017 assessment). The IUCN Red List of Threatened Species. https://www.iucnredlist.org/species/41688/121229971. Naves J, Fernández-Gil A. 2017. A conservación do oso pardo en Galicia. Cerna 78:43-45. Parde J-M, Camarra J-J. 1992. L´ours (Ursus arctos, Linnaeus, 1758). Encyclopédie des carnivores de France. Société Française Pour l'Etude et la Protection des Mammifères. Posillico M, Meriggi A, Pagnin E, Lovari S, Russo L. 2004. A habitat model for brown bear conservation and land use planning in the central Apennines. Biological Conservation 118:141-150 DOI: https://doi.org/10.1016/j.biocon.2003.07.017. Servheen C, Herrero S, Peyton B 1999. Bears. Status Survey and Conservation Action Plan. IUCN/SSC. IUCN, Gland, Switzerland, and Cambridge, UK. Valverde JA 2009. Anotaciones al “Libro de la Montería” del Rey Alfonso XI. Ediciones Universidad de Salamanca, Salamanca.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.298
Threshold uncertainty score0.997

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0070.010
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2980.203

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.238
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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