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373 results for “potential distribution”
Fig. 5 in Phylogeography and potential glacial refugia of terrestrial gastropod Faustina faustina (Rossmässler, 1835) (Gastropoda: Eupulmonata: Helicidae) inferred from molecular data and species distribution models
Fig. 5 BEAST phylogenetic tree based on the COI sequences. Node values indicate divergence estimated in MYA
Fig. 7 in Phylogeography and potential glacial refugia of terrestrial gastropod Faustina faustina (Rossmässler, 1835) (Gastropoda: Eupulmonata: Helicidae) inferred from molecular data and species distribution models
Fig. 7 Areas of climatic stability over time periods from the LGM through the present, based on summed climatic suitability models for the LGM, mid-Holocene, and present day for three differed GCMs. Stability increase from red to yellow color. White-filled areas show the
Figure 6. Response curve showing how each environmental variable affected the Maxent prediction. Variables A, B in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 6. Response curve showing how each environmental variable affected the Maxent prediction. Variables A, B, and C were the ones that most affected the potential distribution of S. giannae, and D, E, and F most affected the potential distribution of S. lilium. The curves show the average response of the 10 replicate Maxent runs (red) and the standard deviation (blue).
Figure 2 in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 2. Detail of the teeth in S. lilium (A and D – MN 82228) and S. giannae (B and E – MN 84766, C and F – MN 82217). The shape of the upper internal incisor unicuspid in S. lilium (A) and unicuspid or bicuspid in S. giannae (respectively B, C). Metaconid of first inferior molar (m1) wide mesodistally and short cervico-occlusal (D, E, and F). Metaconid of second inferior molar (m2) large mesodistally in S. lilium (D) and in S. giannae (F), or short mesodistally and long cervico-occlusally (E) in S. giannae. Scale bars: 1 mm.
Figure 4 in PhylOgeOgraphy and pOtential distributiOn OF Sturnira lilium and S. giannae (ChirOptera: PhyllOstOmidae) With range eXtensiOn FOr S. giannae in the CerradO and Pantanal biOmes
Figure 4. Map showing the distribution and location of analyzed samples of S. giannae in gray circles and blue boundaries, and of S. lilium in black circles and green boundaries. The blue star is the type locality of S. giannae, and the green star is the type locality of S. lilium. The dotted black line marks the extent of S. giannae 's territory in Brazil: Mato Grosso State (1) Barão de Melgaço, and Maranhão State (2) Alto Parnaíba. Other localities are in the Appendix 1.
Figure 6 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
Figure 6. Total cross-validation AUC (CV-AUC) and spatial congruence AUC (SC- AUC) for a range of grain sizes.
Figure 4 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
Figure 4. Divergence between the uncorrelated and pruned models estimated through Parolo divergence index at 250-m resolution. As is shown, there was little divergence (0– 0.2) between models in most of the study area.
Figure 1 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
Figure 1. The location of the study area on a map of western Asia (right). Inset shows DEM of study area with polygons indicating the protected areas where populations of goitered gazelle occur.
Figure 5 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
Figure 5. The change in performance index (AUC, left) and habitat suitability area (right) of the output model with increasing extent size (open circles) and grain size (filled circles) from 250 to 3000 m.
Figure 3 in Maxent modeling for predicting potential distribution of goitered gazelle in central Iran the effect of extent and grain size on performance of the model
Figure 3. Goitered gazelle distribution maps based on the uncorrelated model (left) and the pruned model (right) for the 250-m grid size.
Figure 1 in Modeling the potential geographic distribution of the poorly known Neotropical lizard Anotosaura vanzolinia Dixon, 1974 (Squamata, Gymnophthalmidae) in Northeast Brazil
Figure 1. Specimens of Anotosaura vanzolinia. Total view (A) and close-up of the head (B) of the specimen (43 mm SVL, CHBEZ 2925) collected in Tenente Laurentino Cruz, state of Rio Grande do Norte, Brazil. (C) Specimen (ca. 52 mm SVL, MFCH 4399) from the new geographic record in Piauí State, Brazil. Photos A) and B) by Marcelo Kokubum; C) by Leonardo Ribeiro.
Figure 2 in Modeling the potential geographic distribution of the poorly known Neotropical lizard Anotosaura vanzolinia Dixon, 1974 (Squamata, Gymnophthalmidae) in Northeast Brazil
Figure 2. Known and potential distributions of Anotosaura vanzolinia in the Caatinga of Northeast Brazil: Bahia (BA), Alagoas (AL), Pernambuco (PE), Paraíba (PB), Rio Grande do Norte (RN), and Piauí (PI). See Table for explanation of the numbers. The area delimited in gray immediately above point 13 represents the Chapada do Araripe. Color scale indicates the environmental suitability predicted by the model, which ranges from 0 (blue) to 1 (red). The probability of occurrence of Anotosaura vanzolinia in two significant priority areas for the conservation are represented: A) Pedra Branca, Ceará State (high priority) and B) Pilão Arcado, Bahia and Piauí States (very high priority).
Fig. 6 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats
Fig. 6. Potential threats to Goniurosaurus. (A) Flooding of Viet Hai Commune in August 2015. (B) Tourist event in a cave within the UNESCO World Heritage Site on Ha Long Bay. Photos H.N. Ngo.
Fig. 4 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats
Fig. 4. (A) Substrate selection of Goniurosaurus catbaensis. (B) Box plots of perch heights of different age classes and sexes.
Fig. 3 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats
Fig. 3. Absence versus occasional presence of internasal scales of Goniurosaurus catbaensis from (A) Cat Ba Island and (B) Ha Long Bay. Photos H.N. Ngo.
Fig. 2 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats
Fig. 2. Phylogram of Goniurosaurus based on the Bayesian analysis of a 16S ribosomal fragment. Numbers next to nodes are Bayesian posterior probabilities. Voucher numbers of new samples and GenBank accession numbers are placed after species names and in parentheses, respectively.
Fig. 1 in First record of the Cat Ba Tiger Gecko, Goniurosaurus catbaensis, from Ha Long Bay, Quang Ninh Province, Vietnam: microhabitat selection, potential distribution, and evidence of threats
Fig. 1. New population. (A) Habitat of Goniurosaurus catbaensis on one offshore island in Ha Long Bay, Quang Ninh Province; (B) Microhabitat of G. catbaensis in Ha Long Bay; (C) Adult male; and (D) Adult female from Ha Long Bay. Photos: H.N. Ngo.
Linked collectors and determiners for: First records of Leucania rawlinsi Adams and L. senescens M ̂ schler (Lepidoptera: Noctuidae) in Brazil: redescription, potential association with Bt maize, larval parasitoids, and spatial and temporal distribution.
Natural history specimen data linked to collectors and determiners held within, "First records of Leucania rawlinsi Adams and L. senescens M ̂ schler (Lepidoptera: Noctuidae) in Brazil: redescription, potential association with Bt maize, larval parasitoids, and spatial and temporal distribution". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/4c9c5163-7fce-43f3-be05-c64780788e96">https://bionomia.net/dataset/4c9c5163-7fce-43f3-be05-c64780788e96</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/4c9c5163-7fce-43f3-be05-c64780788e96">https://gbif.org/dataset/4c9c5163-7fce-43f3-be05-c64780788e96</a>. Formatted as a Frictionless Data package.
Figure 4 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 4. Map of Mexican provinces based on models of species' distributions in t1: baj, Baja California Chiapas; ist, Isthmus of Tehuantepec; mgu, Mexican Gulf; mpa, Mexican Pacific Coast; mpl, Mexican Sierra Madre Occidental; sms, Sierra Madre del Sur; son, Sonora; tam, Tamaulipas; vol, Transmexican
Figure 2 in Deforestation affects biogeographical regionalization: a case study contrasting potential and extant distributions of Mexican terrestrial mammals
Figure 2. Simplified consensus cladograms of (a) t1 (natural vegetation), and (b) t2 (land use and vegetation map based on the 2000 Inventario Forestal Nacional (SEMARNAT 2001).
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.
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.
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.
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.
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.