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8,119 results for “species distribution”

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zenodo40/100

Fig. 27 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants

Fig. 27. Biotope, host plant, and adult of Melitaea shahvarica sp. nov. in nature. A. Shahvar Mt., E Elburs Ridge. B. Biotope with Phlomoides molucelloides (Bunge) Salmaki. C. Host plant Ph. molucelloides. D. Female on Ph. molucelloides.

opencc-by-4.0Jul 2022View details →
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Fig. 21 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants

Fig. 21. Adults of Melitaea shahvarica sp. nov. A–H. UPS. I–P. UNS. A, I. Holotype, ♂ (SDM). B–H, J–P. Paratypes (EDMSU). A–C. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., alt. 2200–2400 m. D. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., Tohar v. vicinity, alt. 2200 m. E–H. ♀. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., alt. 2200– 2400 m. I–K. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., 2200–2400 m. L. ♂. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mts, Tohar v. vicinity, alt. 2200 m. M–P. ♀. Iran, Semnan Prov., Shahrud area, S macroslope of Shahvar Mt., alt. 2200–2400 m.

opencc-by-4.0Jul 2022View details →
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Fig. 25. I–IV in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants

Fig. 25. I–IV instar caterpillars of Melitaea shahvarica sp. nov. (a = view from above; b = lateral view). A. First instar caterpillar after hatching. B. First instar caterpillar before molting. C. Second instar caterpillar. D. Third instar caterpillar. E. Fourth instar caterpillar.

opencc-by-4.0Jul 2022View details →
zenodo40/100

Fig. 26. V–VI in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants

Fig. 26. V–VI instar caterpillars of Melitaea shahvarica sp. nov. (a = view from above; b = lateral view). A. Fifth instar caterpillar. B. Sixth instar caterpillar. C. Sixth instar caterpillar, head capsule, front view. D. Sixth instar caterpillar, head capsule, lateral view.

opencc-by-4.0Jul 2022View details →
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Fig. 20 in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants

Fig. 20. Eggs of Melitaea timandra binaludica subsp. nov., Iran, Kuh-e-Binalud Mts. A–C. Lateral view. D–F. View from above. G–I. Micropile area.

opencc-by-4.0Jul 2022View details →
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Fig. 19. Male genitalia and harpe. A–C in Review of the fritillary species systematically close to Melitaea lutko Evans, 1932 (Lepidoptera: Nymphalidae) with analysis of their geographic distribution and interrelations with host plants

Fig. 19. Male genitalia and harpe. A–C. Melitaea timandra timandra Coutsis & van Oorschot, 2014. D–I. M. timandra binaludica subsp. nov. A–C. Turkmenistan, Sary-Yazy, alt. 300 m. D–F. Iran, Rezavi Khorassan Prov., Kuh-e-Binalud Mts, Dorrud v. vicinity, alt. 2430 m. G. Afghanistan, Bamian Prov., Band-e-Amir, alt. 3200 m. H. Afghanistan, Bamian Prov., Band-e-Amir, Dzhudoi-Kvak Gorge, alt. 3200 m. I. Afghanistan, Band-e-Amir, Hazarajat.

opencc-by-4.0Jul 2022View details →
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Data for: "Dynamic species distribution modeling reveals the pivotal role of human-mediated long-distance dispersal in plant invasion"

<p>All the data needed to reproduce the results and Figures of our article:</p> <p>Botella, C., Bonnet, P., Hui, C., Joly, A., &amp; Richardson, D. M. (2022). Dynamic Species Distribution Modeling Reveals the Pivotal Role of Human-Mediated Long-Distance Dispersal in Plant Invasion. <em>Biology</em>, <em>11</em>(9), 1293. <a href="https://doi.org/10.3390/biology11091293">https://doi.org/10.3390/biology11091293</a></p> <p>Please, find the R scripts and guidelines to reproduce our results on the article&#39;s Github repository :</p> <p><a href="https://github.com/ChrisBotella/plectranthus_barbatus/tree/main">https://github.com/ChrisBotella/plectranthus_barbatus/tree/main</a></p>

opencc-by-4.0Mar 2022View details →
zenodo40/100

Figure 2. Mitotype tree and distribution maps for 98 in Integrative taxonomy reveals cryptic diversity in North American Lasius ants, and an overlooked introduced species

Figure 2. Mitotype tree and distribution maps for 98 DNA-barcodes belonging to 7 mitotypes of the ant Lasius niger (blue, n = 70) and 15 mitotypes of L. ponderosae sp. nov. (red, n = 28). The red dashed line delimits the expected natural range of L. ponderosae sp. nov.53 Maps have been created using the free R-package "ggmap" v3.0.0 (https://github.com/dkahle/ggmap) in R v4.1.1. Map tiles by Stamen Design, under CC BY 3.0.

opencc-by-4.0Apr 2022View details →
dryad40/100

Spatial confounding in Bayesian species distribution modeling

<ol> <li>Species distribution models (SDMs) are currently the main tools to derive species niche estimates and spatially explicit predictions for species geographical distribution. However, unobserved environmental conditions and ecological processes may confound the model estimates if they have a direct impact on the species and, at the same time, they are correlated with the observed environmental covariates. This, so-called spatial confounding, is a general property of spatial models but it has not been studied in the context of SDMs before.</li> <li>Here we examine how the estimation accuracy of SDMs depends on the type of spatial confounding. We construct two simulation studies where we alter spatial structures of the observed and unobserved covariates and the level of dependence between them. We fit generalized linear models with and without spatial random effects applying Bayesian inference and record the bias induced to model estimates by spatial confounding. After this, we examine spatial confounding also with real vegetation data from northern Norway.</li> <li>Our results show that model estimates for coarse-scale covariates, such as climate covariates, are likely to be biased if a species distribution depends also on an unobserved covariate operating on a finer spatial scale. Pushing higher probability for a relatively weak and spatially smoothly varying spatial random effect compared to the observed covariates improved estimation accuracy. The improvement was independent of the actual spatial structure of the unobserved covariate.</li> <li>Our study addresses the major factors of spatial confounding in SDMs and provides a list of recommendations for pre-inference assessment of spatial confounding and for inference-based methods to decrease the chance of biased model estimates.</li> </ol>

opencc-zeroAug 2022View details →
zenodo40/100

Fig. 36. Monomorium carbo Forel, 1910 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 36. Monomorium carbo Forel, 1910, syntype, worker (CASENT0249908, AntWeb.org (Shannon Hartman)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 31. Crematogaster chiarinii Emery, 1881 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 31. Crematogaster chiarinii Emery, 1881, worker (CASENT0906369, AntWeb.org (Estella Ortega)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 28 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 28. Cardiocondyla yemeni Collingwood &amp; Agosti, 1996, worker (CASENT0922874, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 51 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 51. Trichomyrmex mayri (Forel, 1902), worker (CASENT0922869, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 27 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 27. Cardiocondyla wroughtonii (Forel, 1890), worker (CASENT0922871, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 43 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 43. Monomorium venustum (Smith, 1858), syntype, worker (CASENT0902221, AntWeb.org (Will Ericson)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 25. Leptanilla islamica Baroni Urbani, 1977 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 25. Leptanilla islamica Baroni Urbani, 1977, ♂ (CASENT0922880, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 33. Meranoplus mosalahi Sharaf, 2019 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 33. Meranoplus mosalahi Sharaf, 2019, paratype, worker (CASENT0922861,AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 24. Plagiolepis barbara Santschi, 1911 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 24. Plagiolepis barbara Santschi, 1911, worker (CASENT0912424,AntWeb.org (Zach Lieberman)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 23 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 23. Paratrechina longicornis (Latreille, 1802), worker (CASENT0922867, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →
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Fig. 32 in Faunal composition, diversity, and distribution of ants (Hymenoptera: Formicidae) of Dhofar Governorate, Oman, with updated list of the Omani species and remarks on zoogeography

Fig. 32. Crematogaster jacindae Sharaf &amp; Hita Garcia, 2019, paratype, worker (CASENT0922856, AntWeb.org (Michele Esposito)). A. Body in profile. B. Head in full-face view. C. Distribution map.

opencc-by-4.0Sep 2022View details →

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Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record