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1,790 results for “Reptile”
Long-term monitoring of reptiles and ground arthropods near the Phoenix-Mesa Gateway Airport, Mesa, Arizona, USA, ongoing since 2010
Reptiles and amphibians have been monitored at the Gateway site since 2010. The goals of the project have been to provide undergraduate and graduate students opportunities to learn hands-on wildlife techniques, follow seasonal patterns of herpetofauna and ground arthropods, and serve as a test bed for new projects and technologies, including development of a mobile app for data collection. Live trapping methods include 6 trap arrays of pitfall and funnel traps placed along drift fences. Arrays are checked daily when traps are actively open to trap animals. Lizards are given a unique toe clip code, but all other species are unmarked. Reptiles and amphibians are weighed and measured and released at point of capture. Ground arthropods are counted to the Order-level. Arrays are open typically from March to October and the years vary in trapping effort with arrays open from 2 to 68 days per year. The most common species captured are tiger whiptail (*Aspidoscelis tigris*) and common side-blotched (*Uta stansburiana*) lizards.
Data set and code supporting Marshall et al., "An inventory of online reptile images"
<p>Data set and code supporting: MARSHALL, B.M., FREED, P., VITT, L.J., BERNARDO, P., VOGEL, G., LOTZKAT, S., FRANZEN, M., HALLERMANN, J., SAGE, R.D., BUSH, B. and DUARTE, M.R., 2020. An inventory of online reptile images. <em>Zootaxa</em>, <em>4896</em>(2), pp.251-264. DOI:<a href="https://doi.org/10.11646/zootaxa.4896.2.6">10.11646/zootaxa.4896.2.6</a></p> <p>Data includes: </p> <ul> <li>Supplementary Table 1. List of all species and the number of photos in each of the 6 repositories: "SuppData1_Species_Photo_Count_Table_2020-08-04_no_syn.csv"</li> <li>Supplementary Table 2. List of species without photo in any of the 6 repositories: "SuppData2_Species_no_photos.csv"</li> <li>Supplementary Table 3. Per country summary data of number of species present and number with images: "SuppData3_Country_species_counts.csv"</li> <li>Reptile Database species checklist: "reptile_checklist_2020_04.csv"</li> <li>Reptile Database species synonyms used in second Wikimedia search: "reptile names 2019 syno.csv"</li> </ul> <p>Code includes:</p> <ul> <li>R code used to retrieve Flickr photograph metadata: "SuppCode1_Flickr_search.R"</li> <li>R code used to retrieve Wikimedia photograph metadata: "SuppCode2_Wikimedia_query.R"</li> <li>R code used to retrieve HerpMapper photograph metadata: "SuppCode3_HerpMapper_search.R"</li> <li>R code used to generate figures: "SuppCode4_Figure Generation.R"</li> </ul> <p>Also includes Zootaxa supplementary table.</p> <p> </p>
Habitat characteristics and species abundances of reptiles in northern Israel
<p>Data and auxiliary information collected in a field survey of reptile assemblages in northern Israel, conducted in the spring seasons from 2016 to 2018. Data were collected in 272 Mediterranean woodland and shrubland sites, exposed to different types of human land uses. Sites are located along a geo-climatic gradient of 120 km, with elevations between 50 m and 1,570 m above sea level. Species data contains the abundances of 15 lizards, six snakes and one tortoise. The species included in the data are:</p> <p><em>Mediodactylus orientalis, Ptyodactylus puiseuxi, Chamaeleo chamaeleon, Phoenicolacerta kulzeri, Phoenicolacerta laevis, Lacerta media, Ophisops elegans, Ablepharus rueppellii, Chalcides guentheri, Heremites vittate, Pseudopus apodus, Dolichophis jugularis, Hemorrhois nummifer, Platyceps collaris, Malpolon insignitus, Daboia palaestinae, Testudo graeca, Ptyodactylus guttatus, Laudakia stellio, Chalcides ocellatus, Eumeces schneideri, Psammophis schokari, </em>and<em> </em>unidentified lizard species.</p> <p>Data columns are:</p> <p>Sample = sample site code</p> <p>Date = sampling date</p> <p>Region = name of sub region in northern Israel</p> <p>Locality = sampling site name</p> <p>T_min = average minimum annual temperature from 1970 to 2000</p> <p>T_max = average maximum annual temperature from 1970 to 2000</p> <p>Precipitation = mean annual rainfal (mm) from 1970 to 2000</p> <p>Lat_sample = latitude of the centroid of the sampling site (m, ITM coordinate system)</p> <p>Lon_sample = longitude of the centroid of the sampling site (m, ITM cooridnate system)</p> <p>Elev_MEAN = elevation above sea level (m)</p> <p>EgrtPredPress = an estimate of predation pressure by cattle egrets (based on distance to nearest colony and colony size)</p> <p>Closeness = a visual estimate of vegetation cover</p> <p>Barrenness = a visual estimate of the amount of non-vegetated cover</p> <p>DISTURB = a visual estimate of the amount of anthropogenic disturbance to the site</p> <p>CATTLE = a visual estimate of cattle grazing pressure</p> <p>GOATS = a visual estimate of goat grazing pressure</p> <p>Shannon_LC = Shannon's index of habitat diversity</p> <p>Ndvi_MEAN = mean value of the normalized difference vegetation index captured by Landsat satellite imagery in August 2020</p> <p>Ndvi_STD = standard deviation of the values of the normalized difference vegetation index captured by Landsat satellite imagery in August 2020</p> <p>PreyLizAbun = total abundance of reptile species identified as cattle egret prey</p> <p>HerpAbun = total reptile abundance</p> <p>SpeciesRich = total species richness</p> <p>Columns 23 - 46: abundances of individual reptile species</p>
Data and code accompanying: A quantitative synthesis of and predictive framework for studying winter warming effects in reptiles
<p>This data and code were used to generate the publication "A quantitative synthesis of and predictive framework for studying winter warming effects in reptiles", doi: 10.1007/s00442-022-05251-3</p> <p>Please direct any queries or requests to use these datasets/code to: k.macleod@bangor.ac.uk</p> <p>Two datasets are presented in separate excel files: one contains meta-analytical data from experimental studies on winter warming effects on reptiles, and the other contains the same type of data from observational studies on the same.</p> <p>R code for analysis is in an R file; this should be openable in any text editing application.</p> <p>Manuscript abstract below:</p> <p><em>Increases in temperature related to global warming have important implications for organismal fitness. For ectotherms inhabiting temperate regions, ‘winter warming’ is likely to be a key source of the thermal variation experienced in future years. Studies focusing on the active season predict largely positive responses to warming in the reptiles; however, overlooking potentially deleterious consequences of warming during the inactive season could lead to biased assessments of climate change vulnerability. Here, we review the overwinter ecology of reptiles, and test specific predictions about the effects of warming winters, by performing a meta-analysis of all studies testing winter warming effects on reptile traits to date. We collated information from observational studies measuring responses to natural variation in temperature in more than one winter season, and experimental studies which manipulated ambient temperature during the winter season. Available evidence supports that most reptiles will advance phenologies with rising winter temperatures, which could positively affect fitness by prolonging the active season although effects of these shifts are poorly understood. Conversely, evidence for shifts in survivorship and body condition in response to warming winters was equivocal, with disruptions to biological rhythms potentially leading to unforeseen fitness ramifications. Our results suggest that the effects of warming winters on reptile species are likely to be important but highlight the need for more data and greater integration of experimental and observational approaches. To improve future understanding, we recap major knowledge gaps in the published literature of winter warming effects in reptiles and outline a framework for future research.</em></p>
Reptile database -- Peter Uetz: Reptile Database
<p></p>https://eol-jira.bibalex.org/browse/DATA-714<p></p>cleaned up scientific names and added source links to media
Hone et al, 2013: Reptiles
<p>Hone, David; O__Gorman, Eoin J. (2013): Body Size datasets for PLOS ONE paper doi:10.1371. figshare.</p> <p>http://dx.doi.org/10.6084/m9.figshare.627530 Retrieved 16:42, Apr 09, 2015 (GMT)</p>
Amphibian and reptile list of the Andrews Experimental Forest, 1975 to 1995
This is a compilation of amphibian and reptile species currently known to be present within the H.J. Andrews Experimental Forest. This list includes scientific name, common name, relative abundance, general elevational distribution, habitat, and references for each species.
Figure 1. All 4.683 in Mapping the terrestrial reptile distributions in Oman and the United Arab Emirates
Figure 1. All 4.683 records of terrestrial reptiles in Oman and the UAE. Although the coverage of records remains patchy, there are sufficient records to provide useful distribution information.
Figure 6 in Mapping the terrestrial reptile distributions in Oman and the United Arab Emirates
Figure 6. Non-overlapping and contiguous distributions of two species of sand geckos Stenodactylus slevini and S. leptocosymbotes.
Figure 4 in Mapping the terrestrial reptile distributions in Oman and the United Arab Emirates
Figure 4. The distributions of two endemic lacertids in the genus Omanosaura. Both species are restricted to the Hajar mountains and their distributions overlap broadly.
Figure 2 in Reptiles as principal prey? Adaptations for durophagy and prey selection by jaguar (Panthera onca)
Figure 2. Percentage of Jaguar (Panthera onca) diet composed by peccaries or armadillos compared with cougars (Puma concolor). Jaguar prey more extensively over armoured and dangerous prey. Data were pooled from reviewed literature where faeces of cougars and jaguars were collected at the same site. Bars represents means while whiskers represent standard errors for each prey group.
Supplementary files for Silva et al. 2020 "Reptiles on the wrong track?": R Code, data and figures
<p>Datasets, R code and figures pertaining to the manuscript: Silva, I., Crane, M., Marshall, B.M., & Strine, C.T. (2020).<em> </em> <em>Reptiles on the wrong track? Moving beyond traditional estimators with dynamic Brownian Bridge Movement Models.</em> Movement Ecology 8, 43 DOI: 10.1186/s40462-020-00229-3</p> <p>Article available at: <a href="https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-020-00229-3">https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-020-00229-3</a></p>
FIG. 8. — A in The comparative milk-suckling reptile
FIG. 8. — A woodcut showing Poggio's snake ready to suckle milk from cow's udder. From Anonymous 1815: 347). Note that the illustration follows the same pattern of the 1520 Valencian edition (Romero Lucas 2001).
FIG. 5. — The serpent bova milking a cow. Illumination from manuscript MSL 11, fol. 137v in The comparative milk-suckling reptile
FIG. 5. — The serpent bova milking a cow. Illumination from manuscript MSL 11, fol. 137v, Archive of the Prague Castle, Library of the Metropolitan Chapter by St. Vitus.
FIG. 3 in The comparative milk-suckling reptile
FIG. 3. — While farmers are engaged in harvesting, the frustrated snakes look at the baby in the tree. From Magnus (1555: 437).
FIG. 7. — A medallion with a snake milking a cow from a in The comparative milk-suckling reptile
FIG. 7. — A medallion with a snake milking a cow from a tapestry preserved in the Musée Royal des Beaux-Arts, Brussels. From Crick-Kuntziger (1948: 73).
FIG. 4 in The comparative milk-suckling reptile
FIG. 4. — The scene of Caradoc's liberation from the serpent by Guignier, from ms. Paris BN fr. 12577. The snake coiled on Caradoc's arm was intentionally erased by an anonymous reader. From Harf-Lancner 1993: 483).
FIG. 6 in Amphibians and reptiles from the Neogene of Afghanistan
FIG. 6. — Xenodermidae (Xenodermus) or Elapidae (Bungarus), Sherullah, late Miocene, photos: A, B, C, trunk vertebra AFG 1672, dorsal, ventral and right lateral views; D, trunk vertebra AFG 1673, dorsal view. Scale bar: 2 mm.
FIG. 1 in Amphibians and reptiles from the Neogene of Afghanistan
FIG. 1. — Anura. Sherullah, late Miocene, photos, A-D: A,? Discoglossinae (? Alytidae), right humerus AFG 1650, ventral view; B-D, "Ranidae", B, right humerus AFG 1653, ventral view; C, right coracoid AFG 1652, inner face; D, right ilium AFG 1655, lateral view; Hadji Rona, early Pliocene; E, Anura indet. sp. C, sacral vertebra AFG 1680, dorsal view. Scale bars: 2 mm.
FIG. 7 in Amphibians and reptiles from the Neogene of Afghanistan
FIG. 7. — Xenodermidae (Xenodermus) or Elapidae (Bungarus), Sherullah, late Miocene, trunk vertebra, AFG 1672, drawings: A, B, dorsal and anterior views. Scale bar: 3 mm.
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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.
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.