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Fig. 20 in The herpetofauna of Guanajuato, Mexico: composition, distribution, and conservation status
Fig. 20. Masticophis mentovarius (Duméril, Bibron, and Duméril, 1854). The Neotropical Whipsnake is distributed on the Pacific versant from Sonora and on the Atlantic versant from Tamaulipas south to Colombia and Venezuela. Its vertical distribution extends from near sea level to around 2,100 m (Johnson 1977, 1982 cited in Heimes 2016). This individual came from El Copal, in the municipality of Irapuato. Wilson et al. (2013a) ascertained its EVS as 6, placing it in the middle portion of the low vulnerability category. IUCN has not evaluated its conservation status, but SEMARNAT has assessed it as Threatened (A). Photo by Adrian LeyteManrique.
Fig. 6 in The herpetofauna of Tabasco, Mexico: composition, distribution, and conservation status
Fig. 6. Deforestation due to road construction in the vicinity of Paraíso, Tabasco. Photo by José del Carmen GerónimoTorres.
Fig. 13 in The herpetofauna of Guanajuato, Mexico: composition, distribution, and conservation status
Fig. 13. Forestry activities inevitably result in the loss of vegetation cover. This image from El Varal, Guanajuato, shows patches of pine-oak forest. Trees are removed for construction and the production of charcoal. Currently, a reforestation program is being implemented at this site. Photo by Adrian Leyte-Manrique.
Fig. 6 in The herpetofauna of Guanajuato, Mexico: composition, distribution, and conservation status
Fig. 6. Small seasonal wetlands used to store water in the Central Plateau at San Jose del Llano, in the municipality of San Felipe, Guanajuato. Photo by Yadira Fabiola Estrada-Sillas.
Fig. 14 in The herpetofauna of Guanajuato, Mexico: composition, distribution, and conservation status
Fig. 14. Cows feeding in the vicinity of El Garbanzo, Irapuato, Guanajuato. Livestock production is common in the southeastern, south-central, and western portions of the state toward the Sierra Gorda. Cows can trample tadpoles (e.g., of Anaxyrus compactilis) living in the pools formed in these areas, consequently increasing the mortality rate of this amphibian developmental stage. (a) Cows feeding on grass, (b) an individual of A. compactilis. Photo by Adrian Leyte-Manrique.
Fig. 10 in The herpetofauna of Querétaro, Mexico: composition, distribution, and conservation status
Fig. 10. UPGMA-generated dendrogram illustrating the similarity relationships of species richness among the herpetofaunal components in the three physiographic regions of Querétaro (based on the data in Table 7; Sokal and Michener 1958). Similarity values were calculated using Duellman's (1990) Coefficient of Biogeographic Resemblance (CBR).
Fig. 8 in The herpetofauna of Querétaro, Mexico: composition, distribution, and conservation status
Fig. 8. Juniperus forest, San Juan del Río–Jalpan de Serra, Pinal de Amoles, Querétaro. Photo by Erick Daniel Velasco Esquivel.
Fig. 2 in Turtles of Colombia: an annotated analysis of their diversity, distribution, and conservation status
Fig. 2. Cluster diagram comparing turtle community species compositions of the five macro-drainages in Colombia.
Fig. 4 in The herpetofauna of Querétaro, Mexico: composition, distribution, and conservation status
Fig. 4. Xerophilous scrub in mountains of the Central Plateau, locality of Peñamiller. Photo by Erick Daniel Velasco Esquivel.
Fig. 3 in The herpetofauna of Querétaro, Mexico: composition, distribution, and conservation status
Fig. 3. Sierra Madre Oriental, in the Sierra Gorda Biosphere Reserve, Jalpan de Serra, Querétaro. Photo by Erick Daniel Velasco Esquivel.
Fig. 1 in The herpetofauna of Querétaro, Mexico: composition, distribution, and conservation status
Fig. 1. Physiographic regions in the state of Querétaro, Mexico, and location of the state of Querétaro in Mexico. The map is based on INEGI (2000).
Fig. 1 in Conservation status of the herpetofauna, protected areas, and current problems in Valle del Cauca, Colombia
Fig. 1. Political map of Valle del Cauca (Colombia). North: El Águila (AGL), El Cairo (CR), Ansermanuevo (ASN), Argelia (ARG), Cartago (CTG), Ulloa (ULA), Alcalá (ACL), Toro (TR), Versalles (VRSL), Obando (OBD), La Unión (UN), El Dovio (DV), Roldanillo (RDNL), La Victoria (VTR), Zarzal (ZRZ), Bolívar (BLV); East: Sevilla (SVL), Caicedonia (CDN); Middle: Bugalagrande (BGG), Trujillo (TJL), Andalucía (ADL), Rio Frio (RF), Tuluá (TL), San Pedro (S/PD), Yotoco (YTC), Darién (DR), Buga (BG), Guacarí (GCR), Ginebra (GNB), Vijes (VJ), Restrepo (RTP), Cumbre (CMB), El Cerrito (CRT); South: Palmira (PMR), Yumbo (YMB), Cali (CL), Candelaria (CDR), Pradera (PDR), Florida (FRD), Jamundí (JMD); West: Buenaventura (B/tura), Dagua (DG).
Fig. 6 in Conservation status of the herpetofauna, protected areas, and current problems in Valle del Cauca, Colombia
Fig. 6. Endemic species listed according to (A) threat category, and (B) by protected areas in Valle del Cauca.
Fig. 3 in Conservation status of the herpetofauna, protected areas, and current problems in Valle del Cauca, Colombia
Fig. 3. Distribution maps for the richness of herpetofauna in the most documented areas in Valle del Cauca. (A) richness, (B) NT species, (C) VU species, (D) EN species, (E) CR species, and (F) DD species.
Fig. 5 in Conservation status of the herpetofauna, protected areas, and current problems in Valle del Cauca, Colombia
Fig. 5. The herpetofauna of Valle del Cauca according to (A) the type of protected area, and (B) species with some degree of threat in each type of protected area.
Fig. 2 in Conservation status of the herpetofauna, protected areas, and current problems in Valle del Cauca, Colombia
Fig. 2. Threat status of the percentage of herpetofaunal species in Valle de Cauca: (A) = Amphibians, (B) = Reptiles.
Fig. 4 in Conservation status of the herpetofauna, protected areas, and current problems in Valle del Cauca, Colombia
Fig. 4. Municipalities in Valle del Cauca with the greatest number of species in the threat categories: (A) Buenaventura, (B) Dagua, (C) Cali, (D) Darién, (E) El Cairo, and (F) La Cumbre.
Figure 4 in Uncovering the true history of Dulit Partridge Rhizothera dulitensis to re-evaluate its conservation status
Figure 4. Approximate distribution of primary forest within the apparent elevational range of Dulit Partridge Rhizothera dulitensis. Dark green = forest at 900‒1,200 m, per Global Forest Watch (2022).
Figure 3 in Uncovering the true history of Dulit Partridge Rhizothera dulitensis to re-evaluate its conservation status
Figure 3. Sketch map of Baram district, Sarawak, produced by Charles Hose in 1900. Reproduced with permission of the National Archives of Singapore.
Figure 2 in Uncovering the true history of Dulit Partridge Rhizothera dulitensis to re-evaluate its conservation status
Figure 2. Sites and landmarks mentioned in the text. Black text = confirmed localities of Dulit Partridge Rhizothera dulitensis, grey = unconfirmed.
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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.