Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
154
datasets available to search
ShareScore release 0.9.0
Dataset results
154 results for “reptile diversity”
Fig. 8 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 8. Scincids of Saudi Arabia. (A) Eurylepis taeniolatus. (B) Trachylepis brevicollis. (C) Chalcides ocellatus (D) Scincus scincus. Photos by A. Aloufi.
Fig. 7 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 7. Agamids of Saudi Arabia. (A) Trapelus flavimaculatus. (B) Stellagama stellio. (C) Phrynocephalus nejdensis. (D) Pseudotrapelus sinaitus. Photos by A. Aloufi.
Fig. 10 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 10. Snakes of Saudi Arabia. (A) Eryx jayakari. (B) Atractaspis engaddensis. (C) Echis coloratus. (D) Cerastes cerastes. (E) Naja arabica. (F) Walterinnesia aegyptia. Photos by A. Al Salman (A–B, F), M. Al Sulimi (C), A. Aloufi (D), and M. Al Mesheni (E).
Fig. 6 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 6. Marine turtles of Saudi Arabia. (A) Eretmochelys imbricata. (B) Chelonia mydas. Photos by A. Al Mansi.
Fig. 5 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 5. Amphibians of Saudi Arabia. (A) Euphlyctis ehrenbergii. (B) Sclerophrys tihamica. Photos by T. Papenfuss.
Fig. 3 in Diversity and conservation of terrestrial, freshwater, and marine reptiles and amphibians in Saudi Arabia
Fig. 3. Landscapes and habitats in Saudi Arabia. (A) Juniperus procera forests in Raydah reserve. (B) Juniperus procera forests in Asir mountains. (C) Harrat Al Harrah. (D) Harat Ewardh. (E) Sand dunes in the Greater Nofoud. (F) Sand dunes in the Empty Quarter. (G) Elephant mountain in Al-`Ula. (H) Sharaan sand stones mountains in Al-`Ula. Photos by K. Al Shamari (A), O. Llewellyn (B), and A. Aloufi (C–H).
DIVERSITY OF URBAN REPTILES IN THREE MAJOR AMAZONIAN MUNICIPALITIES: AN ASSESSMENT USING A CITIZEN SCIENCE PLATFORM
<p><span>This dataset describes the distribution of reptiles in three Amazonian cities (Belém, Manaus and Rio Branco) compiled from the citizen science platform Inaturalist. The dataset consist of photographs of reptiles taken in those cities available in the Inaturalist until December 2023. This data supports the scientific manuscript in preparation: Diversity of urban reptiles in three major Amazonian municipalities: an assessment using a citizen science platform. The dataset consist of a excel spreadsheet structured in 15 columns described below:</span></p> <p><span><span>·<span> </span></span></span><span>Seq: a numerical sequence</span></p> <p><span><span>·<span> </span></span></span><span>Inaturalist link: link to each of the photographs on the platform</span></p> <p><span><span>·<span> </span></span></span><span>Photographer: photographer's identity according to the platform</span></p> <p><span><span>·<span> </span></span></span><span>Date: date</span></p> <p><span><span>·<span> </span></span></span><span>City: city</span></p> <p><span><span>·<span> </span></span></span><span>Latitude: geographic coordinate available on the platform</span></p> <p><span><span>·<span> </span></span></span><span>Longitude: geographic coordinate available on the platform</span></p> <p><span><span>·<span> </span></span></span><span>Coordinates precision (m): coordinate precision</span></p> <p><span><span>·<span> </span></span></span><span>Used in spatial analysis: indicates whether that photograph was used (yes) or not (no) in the spatial analyses conducted in the study</span></p> <p><span><span>·<span> </span></span></span><span>Squamate group: identifies the three groups of reptiles studied as lizards, snakes or worm lizard</span></p> <p><span><span>·<span> </span></span></span><span>Species name (Inaturalist): species identification according to the platform</span></p> <p><span><span>·<span> </span></span></span><span>Standard species name (Guedes et al. 2023): standardization of species names following Guedes, T. B., Entiauspe-Neto, O. M., & Costa, H. C. (2023). List of reptiles of Brazil: 2022 update. Herpetologia Brasileira, 12(1), 56-161.</span></p> <p><span><span>·<span> </span></span></span><span># of identifiers: number of platform contributors who suggested the species identity</span></p> <p><span><span>·<span> </span></span></span><span>Environment: indicates whether the photograph was taken in an urban or forest/rural environment</span></p> <p><span><span>·<span> </span></span></span><span>Landscape: indicates whether the animal photographed in an urban environment was inside or in the edge of an urban forest fragment, in an urbanized area less than 300 m from a forest fragment, in an urbanized area more than 300 m from a forest fragment, or outside an urban environment (not applied)</span></p>
Data from: Potential effects of future climate change on global reptile distributions and diversity
<p class="first-paragraph"><span><strong>Aim:</strong></span><span> Until recently, complete information on global reptile distributions has not been widely available. Here, we provide the first comprehensive climate impact assessment for reptiles on a global scale.</span></p> <p class="western"><span><strong>Location:</strong></span><span> Global, excluding Antarctica</span></p> <p class="western"><span><strong>Time period:</strong></span><span> 1995, 2050, 2080</span></p> <p class="western"><span><strong>Major taxa studied:</strong></span><span> Reptiles</span></p> <p class="western"><span><strong>Methods:</strong></span><span> We modelled the distribution of 6,296 reptile species and assessed potential global as well as realm-specific changes in species richness, the change in global species richness across climate space, and species-specific changes in range extent, overlap and position under future climate change. To assess the future climatic impact on 3,768 range-restricted species, which could not be modelled, we compared the future change in climatic conditions between both modelled and non-modelled species.</span></p> <p class="western"><span><strong>Results:</strong></span><span> Reptile richness was projected to decline significantly over time, globally but also for most zoogeographic realms, with the greatest decrease in Brazil, Australia and South Africa. Species richness was highest in warm and moist regions, with these regions being projected to shift further towards climate extremes in the future. Range extents were projected to decline considerably in the future, with a low overlap between current and future ranges. Shifts in range centroids differed among realms and taxa, with a dominating global poleward shift. Non-modelled species were significantly stronger affected by projected climatic changes than modelled species.</span></p> <p class="western"><span><strong>Main conclusions:</strong></span><span> With ongoing future climate change, reptile richness is likely to decrease significantly across most parts of the world. This effect as well as considerable impacts on species' range extent, overlap, and position were visible across lizards, snakes and turtles alike. Together with other anthropogenic impacts, such as habitat loss and harvesting of species, this is a cause for concern. Given the historical lack of global reptile distributions, this calls for a re-assessment of global reptile conservation efforts, with a specific focus on anticipated future climate change.</span></p>
Data from: Potential effects of future climate change on global reptile distributions and diversity
Open the record for dataset details and reuse information.
Reptile diversity patterns under climate and land use change scenarios in a subtropical montane landscape in Mexico
Open the record for dataset details and reuse information.
Figure 4 in Reptile diversity in the Duas Bocas Biological Reserve, Espírito Santo, southeastern Brazil
Figure 4. Accumulation curves of reptile species based on the sampling days in the Duas Bocas Biological Reserve, Espírito Santo, Brazil. The colored shad- ed area corresponds to the error bars associated with each estimator.
Figure 1 in Reptile diversity in the Duas Bocas Biological Reserve, Espírito Santo, southeastern Brazil
Figure 1. Location of Duas Bocas Biological Reserve, Cariacica, Espírito Santo, southeastern Brazil. Tracks and stars represent sampling areas of this study, with tracks representing the location of the trails and the stars representing the location of the plots.
Figure 3 in Reptile diversity in the Duas Bocas Biological Reserve, Espírito Santo, southeastern Brazil
Figure 3. Examples of snake species occurring in Duas Bocas Biological Reserve, Espírito Santo, Brazil: (A) Trilepida salgueiroi, (B) Corallus hortulanus, (C) Epicrates cenchria, (D) Chironius fuscus, (E) Oxybelis aeneus, (F) Spilotes sulphureus, (G) Dipsas neuwiedi, (H) Erythrolamprus miliaris, (I) Pseudoboa nigra, (J) Xenodon neuwiedii, (K) Bothrops jararaca, (L) Bothrops jararacussu.
Figure 2 in Reptile diversity in the Duas Bocas Biological Reserve, Espírito Santo, southeastern Brazil
Figure 2.Examples of lizard species occurring in Duas Bocas Biological Reserve,Espírito Santo,Brazil:(A) Hemidactylus mabouia, (B)Gymnodactylus darwinii, (C)Psychosaura macrorhyncha, (D) Dactyloa punctata, (E) Polychrus marmoratus, (F) Tropidurus torquatus, (G) Ecpleopus gaudichaudii, (H) Leposoma scincoides, (I) Salvator merianae.
MAP 195 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 195. Distribution of Acontias kgalagadi in Angola.
MAP 237 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 237. Distribution of Typhlacontias rudebecki in Angola.
MAP 181 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 181. Distribution of Chamaesaura anguina oligopholis in Angola.
MAP 125 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 125. Distribution of Afrogecko ansorgii in Angola.
MAP 43 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 43. Distribution of Hyperolius gularis in Angola.
MAP 4 in Diversity and Distribution of the Amphibians and Terrestrial Reptiles of Angola Atlas of Historical and Bibliographic Records (1840-2017)
MAP 4. Distribution of Xenopus muelleri in Angola.
ScienceDex guides
Understand access before you commit
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.