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1,723 results for “Alpine”
Climate change and alpine-adapted insects: modelling environmental envelopes of a grasshopper radiation
<p>Mountains create steep environmental gradients that are sensitive barometers of climate change. We modelled the environmental envelopes of twelve predominantly alpine, flightless grasshopper species in Aotearoa New Zealand, using current conditions and two future global climate change scenarios: representative concentration pathway (RCP) 2.6 (1.0 °C raise) and RCP8.5 (3.7 °C raise). Two thirds of our models suggested a reduced potential range across species by 2070, but surprisingly, for six species we predict an increase in potential suitable habitat under mild (+1.0°C) or severe global warming (+3.7°C). However, when we consider the limited dispersal ability of these grasshoppers, all twelve species studied are predicted to suffer extreme reductions in range, with a quarter likely to go extinct due to a 96-100% reduction in suitable habitat. Alpine species are particularly vulnerable to the impacts of climatic shifts, and species that have limited migratory ability will be particularly at risk of habitat loss, fragmentation and local extinction. Here we present the predicted outcomes for an endemic radiation of alpine taxa as an exemplar of the challenges that alpine species, both in New Zealand, and internationally, will face in light of anthropogenic climate change</p>
Data from: Increased annual methane uptake driven by warmer winters in an alpine meadow
<p>Pronounced non-growing season warming and changes in soil freeze-thaw (F-T) cycles can dramatically alter net methane (CH<sub>4</sub>) exchange rates between soils and the atmosphere. However, the magnitudes and drivers of warming impacts on CH<sub>4</sub> uptake in different stages of the F-T cycle are poorly understood in cold alpine ecosystems, which have been found to be a net sink of atmospheric CH<sub>4</sub>. Here, we reported a year-round ecosystem daily CH<sub>4</sub> uptake in an alpine meadow on the Qinghai-Tibetan Plateau after a five-year warming experiment that included a control, a low-level warming treatment (+2.4℃ at 5 cm soil depth), and a high-level warming treatment (+4.5℃ at 5 cm soil depth). We found that warming shortened the F-T cycle under the low-level warming and soils did not freeze under the high-level warming. Although both warming treatments increased the mean CH<sub>4</sub> uptake rate, only the high-level warming significantly increased annual CH<sub>4</sub> uptake compared to the control. The warming-induced stimulation of CH<sub>4</sub> uptake mainly occurred in the cold season, which was mostly during spring thaw under low-level warming and during the frozen winter under high-level warming due to a longer period with thawed soil. We also found that warming significantly stimulated daily CH<sub>4</sub> uptake mainly by reducing near-surface soil water content in the warm season, whereas both soil water content and temperature controlled daily CH<sub>4</sub> uptake in different ways during the autumn freeze, frozen winter, and spring thaw periods of the control. Our study revealed a strong warming effect on CH<sub>4</sub> uptake during the entire F-T cycle in the alpine meadow, especially the unfrozen winter. Our results also suggested the important roles of soil pH, available phosphorus, and methanotroph abundance in regulating annual CH<sub>4</sub> uptake in response to warming, which should be incorporated into biogeochemical models for accurately forecasting CH<sub>4</sub> fluxes under future climate scenarios.</p>
Distances, climatic differences, and vegetation similarities of alpine grasslands in Europe
<p>The importance of environmental difference among sites and dispersal limitations of species to the explanation of diversity differs among biological systems and geographical regions. We hypothesized that climate and then dispersal limitation will predominantly explain the similarity of alpine vegetation at increasing distances between pairs of regions at sub-continental extent. We computed the similarity of all pairs of 23 European mountain regions below 50°N after dividing the species lists of each region by calcareous or siliceous substrates. Distance decay in similarity was better fitted by a cubic polynomial than a negative exponential function, and the fit was better on calcareous than on siliceous substrate. Commonality analysis revealed that the proportion of explanation of beta diversity by climatic difference had unimodal patterns on a gradient of increasing distance between regions, while explanation by dispersal limitation had consistently rising patterns on both substrates. On siliceous substrate, dispersal limitation explained more of the variation in beta-diversity only at longer distances, but it was predominant at all distances on calcareous substrate. The steeper response to distance at <1600 km and >2600 km may indicate dispersal limitation at different temporal scales, and the uptick in the response to distance at the longest distances may reflect how isolated some regions have been before and since the Last Glacial Maximum.</p>
Coping with seasonality: dynamics of adult body mass and survival in an alpine hibernator
<p><span>Alpine mammals are highly vulnerable to current and projected climate change because they are confined to a certain elevation range. Physiological and behavioural adaptations in burrowing species, such as finding shelter in burrows when the summer conditions are unfavorable and hibernating in winter during the stressful period of resource shortage, could partly buffer the negative impacts of these forecasted changes. We studied the links between environmental factors and annual variations in adult mass and survival over 14 years in hoary marmots. We hypothesized that annual variation in seasonal environmental factors determines individual mass and survival through direct effects on food quality and availability, expecting greater survival when marmots reach higher mass before hibernation. We found that harsh winters decreased mass at emergence from hibernation by 47% compared with mild winters. Nonetheless, adult marmots had a greater mass gain in summers following harsh winters and reached a similar mass at the end of the summer compared with summers following mild winters. This result suggests individuals can adopt a resource allocation strategy that allows maximizing summer mass gain to survive hibernation. Earlier springs also increased summer mass gain by 15 g/day, and tended to increase apparent adult survival by 23%, compared with late springs. While these findings suggest a warming climate could have positive effects on summer mass gain and survival, survival also tended to decrease by 24% in summers with more precipitation. This result suggests the forecasted changes in precipitation extremes could also trigger considerable</span><span> </span><span>negative effects on the demography of burrowing species in the long term. Our study shows</span><span> </span><span>that, although burrowing and hibernating behaviours could buffer responses to</span><span> </span><span>environmental changes, these behaviours are not an indefectible shield against climate</span><span> </span><span>change.</span></p>
Sediment supply effects in hydrology-sediment modelling of an Alpine basin
<p>Discharge, sediment and precipitation data used in the pubblication "Sediment supply effects in hydrology-sediment modelling of an Alpine basin" by Battista et al., WRR, in review.</p>
Data from: Seasonal and functional variation in the trophic base of intermittent Alpine streams
<p>In high-altitude Alpine streams, seasonal cycles of snowmelt, glacial melt, and rainfall drive variation in the availability of algal food resources. Yet high-altitude streams also exhibit varying degrees of flow intermittency, from solely winter-drying streams to others that dry periodically throughout summer and autumn. These environmental drivers may interact in different ways to determine the functional trophic base of macroinvertebrates inhabiting high-altitude streams. Here, we estimated the proportional contribution of autochthonous resources to the assimilated diets of benthic macroinvertebrates in 26 headwater streams of Val Roseg, a high Alpine glacial catchment, using stable isotope analysis (<i>δ</i><sup>13</sup>C and <i>δ</i><sup>15</sup>N) of different macroinvertebrate families and their potential food sources. We compared dietary estimates along a gradient of flow intermittency and across 3 seasons (Alpine spring, summer and autumn). Assimilation from autochthonous sources was highest for collector-gatherers and filter feeders in spring, and for grazers in summer. Grazers had higher estimated assimilation from autochthonous sources in intermittent streams than in perennial streams, particularly in summer, while collector-gatherers showed little effect of flow intermittency on dietary estimates. However, responses were highly taxon-specific, with different responses to variation in flow intermittency and season across families within functional groups. Our results suggest that frequent summer drying events represent trade-offs between greater access to algal food resources and a higher risk of desiccation, but that differing life-history and functional feeding traits across macroinvertebrate taxa drive marked variation in the risks or benefits associated with inhabitants of drying streams.</p>
On following pages: 228. Christie's Long-eared Bat (Plecotus christii); 229. Mediterranean Long-eared Bat (Plecotus turkmenicus); 232. Strelkov's Long-eared Bat (Plecotus strelkovi); 233. Ognev's Long-eared Bat (Plecotus ognevi); Long-eared Bat (Plecotus homochrous); 237. Taiwan Long-eared Bat (Plecotus taivanus); 238. Japanese Long-eared macrobullaris); 241. Sardinian Long-eared Bat (Plecotus sardus); 242. Brown Long-eared Bat (Plecotus auritus); 243 245. Rafinesque's Big-eared Bat (Corynorhinus rafinesquii); 246. Townsend's Big-eared Bat (Corynorhinus townsendii kolombatovici); 230. Ethiopian Long-eared Bat (Plecotus balensis); 231. Turkmen Long-eared Bat (Plecotus 234. Kozlov's Long-eared Bat (Plecotus kozlovi); 235. Sichuan Long-eared Bat (Plecotus ariel); 236. Himalayan Bat (Plecotus sacrimontis); 239. Ward's Long-eared Bat (Plecotus ward): 240. Alpine Long-eared Bat (Plecotus. Desert Long-eared Bat (Otonycteris hemprichii); 244. Turkestani Long-eared Bat (Otonycteris leucophaea) '); 247. Mexican Big-eared Bat (Corynorhinus mexicanus); 248. Allen's Big-eared Bat (/dionycteris phyllotis). in Vespertilionidae
On following pages: 228. Christie's Long-eared Bat (Plecotus christii); 229. Mediterranean Long-eared Bat (Plecotus turkmenicus); 232. Strelkov's Long-eared Bat (Plecotus strelkovi); 233. Ognev's Long-eared Bat (Plecotus ognevi); Long-eared Bat (Plecotus homochrous); 237. Taiwan Long-eared Bat (Plecotus taivanus); 238. Japanese Long-eared macrobullaris); 241. Sardinian Long-eared Bat (Plecotus sardus); 242. Brown Long-eared Bat (Plecotus auritus); 243 245. Rafinesque's Big-eared Bat (Corynorhinus rafinesquii); 246. Townsend's Big-eared Bat (Corynorhinus townsendii kolombatovici); 230. Ethiopian Long-eared Bat (Plecotus balensis); 231. Turkmen Long-eared Bat (Plecotus 234. Kozlov's Long-eared Bat (Plecotus kozlovi); 235. Sichuan Long-eared Bat (Plecotus ariel); 236. Himalayan Bat (Plecotus sacrimontis); 239. Ward's Long-eared Bat (Plecotus ward): 240. Alpine Long-eared Bat (Plecotus. Desert Long-eared Bat (Otonycteris hemprichii); 244. Turkestani Long-eared Bat (Otonycteris leucophaea) '); 247. Mexican Big-eared Bat (Corynorhinus mexicanus); 248. Allen's Big-eared Bat (/dionycteris phyllotis).
2019-2020 AR station alpine meadow ecosystem tower-based observation spectra, GPP and meteorological data
<p> This is the dataset used in the <em>Investigating the Performance of Red and Far-Red SIF for Monitoring GPP of Alpine Meadow Ecosystems</em> paper. The dataset contains canopy red and far-red SIF data, GPP data, NDVI data, photosynthetically active radiation(PAR) data, temperature(Ta) data, and vapor pressure deficit(VPD) data during the 2019 and 2020 growing seasons in the alpine meadow ecosystem at the AR site(100.4643 E, 38.0473 N, altitude 3033 m).</p>
Why flowers close at noon? A case study of an alpine species Gentianopsis paludosa (Gentianaceae)
<p>This dataset contains data from a field experiments described in the paper: "Hou, Q., Zhao, X., Pang, X., Duan, M., Ehmet, N., Shao, W., & Sun, K. (2022). Why flowers close at noon? A case study of an alpine species Gentianopsis paludosa (Gentianaceae). Ecology and Evolution, 12, e8490. https://doi.org/10.1002/ece3.8490".</p> <p>The experiment investigates the effects of temperature (T), relative humidity (RH), and illumination intensity (II) on <i>G. paludosa</i>'s flower closure, and monitored the environmental changes inside and outside of the flowers, aiming to test the effect of floral closure on the stability of microenvironment inside the flower. Finally, the temporal petal closure is artificially interrupted and investigated its effects on reproductive fitness.</p> <p>In the first experiment, the floral movements of <i>G. paludosa</i> and microenvironmental climate conditions were monitored in the full bloom stage in the field.</p> <p>In the second experiment, to tested whether changed environmental conditions could influence floral movement, and, which environmental factors could influence floral movement, the following experiments were carried out. Firstly, to test whether changed ambient conditions would stimulate closing or re-opening respectively, conducted the following 9 treatments from then on, and recorded the corolla width per half-hour: (1) closing T; (2) opening T; (3) blooming T; (4) closing II; (5) opening II; (6) blooming II; (7) closing RH; (8) opening RH; (9) blooming RH. Secondly, the following treatments were conducted to explore whether changed environmental conditions would delay the floral closure: (1) blooming T; (2) blooming II; (3) blooming RH. Thirdly, the 2-factor-combined treatments on full-blooming period and closed period flowers were conducted to test the effect of 2-factor-combined on flower closure.</p> <p>In the third experiment, the temperature and relative humidity inside and outside the flower were tested to explore whether floral closure provide a stable microenvironment condition inside the flower.</p> <p>In the fourth experiment, the effect of floral closure on seed production was tested in the field. 4 treatments were conducted when flowers opened: (1) compulsive openness; (2) forced closure; (3) delayed closure; (4) control group.</p> <p>Main results of the experiments are that (1) high/low temperature contributed more to the flower closure than low RH, while illumination intensity had no significant effect on it; (2) the medium temperature, relative humidity and illumination intensity (environmental conditions at 10:00) did not delay flower closure when flowers at pre-closing period or stimulate reopen when flowers full closed; (3) floral closure provided a stable temperature condition and a higher RH condition inside the flower.; (4) compulsive opening and delayed closure of flowers decreased the seed-set ratio while no effect was found when flowers were forced to close..</p>
Absorptive roots drive a larger microbial carbon pump efficacy than transport roots in alpine coniferous forests
<p>Root activity creates a unique microbial hotspot in the rhizosphere and profoundly regulates soil carbon (C) dynamics, but empirical assessments of the soil microbial carbon pump (MCP, the iterative accumulation of necromass after microbial anabolism) and associated ecological consequences on soil C storage based on insight of the rhizosphere are still neglected, especially for different root functional modules.</p> <p>We assessed the soil MCP efficacy (i.e., the contribution of microbial necromass to SOC) by investigating the divergent contribution of microbial necromass based on amino sugar extrapolations to soil organic C (SOC) in the rhizosphere of two root functional modules (i.e., absorptive roots and transport roots) and the bulk soil in an alpine coniferous forest.</p> <p>The results showed that the MCP efficacy in both rhizosphere and bulk soil was more than 50%, suggesting that microbial necromass plays a key role in SOC formation. More importantly, absorptive roots drove a greater MCP efficacy (56%) in the rhizosphere than transport roots (51%).</p> <p><em>Synthesis</em>. These observations suggest that the microbial necromass is a major contributor to SOC storage in both rhizosphere and bulk soil in alpine coniferous forests. The magnitude of the contribution of microbial necromass to rhizosphere SOC depends on root functional differentiation. Our study provides novel and direct empirical evidence for the active soil MCP functions in SOC sequestration from the perspective of the rhizosphere.</p>
On following pages: 180. Iberian Ibex (Capra pyrenaica); 181. Nubian Ibex (Capra nubiana); 182. Walia Ibex (Capra walie); 183. Alpine Ibex (Capra ibex); 184. Siberian Ibex (Capra sibirica); 185. Kuban Tur (Capra caucasica); 186. Daghestan Tur (Capra cylindricornis). in Bovidae
On following pages: 180. Iberian Ibex (Capra pyrenaica); 181. Nubian Ibex (Capra nubiana); 182. Walia Ibex (Capra walie); 183. Alpine Ibex (Capra ibex); 184. Siberian Ibex (Capra sibirica); 185. Kuban Tur (Capra caucasica); 186. Daghestan Tur (Capra cylindricornis).
On following pages: 211. Alpine Chamois (Rupicapra rupicapra); 212. Carpathian Chamois (Rupicapra carpatica); 213 Gray Goral (Nemorhaedus bedford); 216. Chinese Goral (Nemorhaedus griseus); 217. Burmese Goral (Nemorhaedus. Asia Minor Chamois (Rupicapra asiatica); 214. Himalayan Brown Goral (Nemorhaedus goral); 215. Himalayan evansi); 218. Long-tailed Goral (Nemorhaedus caudatus); 219. Red Goral (Nemorhaedus baileyi). in Bovidae
On following pages: 211. Alpine Chamois (Rupicapra rupicapra); 212. Carpathian Chamois (Rupicapra carpatica); 213 Gray Goral (Nemorhaedus bedford); 216. Chinese Goral (Nemorhaedus griseus); 217. Burmese Goral (Nemorhaedus. Asia Minor Chamois (Rupicapra asiatica); 214. Himalayan Brown Goral (Nemorhaedus goral); 215. Himalayan evansi); 218. Long-tailed Goral (Nemorhaedus caudatus); 219. Red Goral (Nemorhaedus baileyi).
Original data of diatom communities in two alpine lakes of eastern China
<p>This study explored ecological responses of Erye and Sanye lakes to climate change and atmospheric deposition based on multi-proxy sedimentary records in the Taibai Mountain (eastern China). Diatom communities of the two study lakes shifted from large-sized benthic taxa to small fragilariod species after the mid-20th century, synchronous with an increase in diatom production and a decrease in mean length of diatom valves. Changes in diatom communities were significantly correlated with nitrogen deposition in both lakes and climate warming in the upstream lake. </p>
Historical flood reconstruction in a torrential alpine catchment (Saltina, Brig, Swiss Alps) and its implication for flood hazard assessments
<p>EXCEL has three sheets :</p> <p>1. Pas flood description</p> <p>2. Past Engineering</p> <p>3. Hydraulic modeling flood discharge (1331 to 1965) and systematic discharge from 1966 to 2020.</p> <p> </p> <p>Word has two pictures</p> <p> </p> <p>1. past old maps (1331,1888,1938,2017)</p> <p>2. Walls, check dam, and lifting bridge</p>
On following pages: 3. Tsing-ling Pika (Ochotona syrinx); 4. Gansu Pika (Ochotona cansus); 5. Nubra Pika (Ochotona nubrica); 6. Plateau Pika (Ochotona curzoniae); 7. Thomas's Pika (Ochotona thomasi); 8. Alpine Pika (Ochotona alpina); 9. Turuchan Pika (Ochotona turuchanensis): 10. Northern Pika (Ochotona hyperborea); 11. Manchurian Pika (Ochotona mantchurica); 12. Hoffmann's Pika (Ochotona hoffmanni); 13. Korean Pika (Ochotona coreana), 14. Pallas's Pika (Ochotona pallasii). in Ochotonidae
On following pages: 3. Tsing-ling Pika (Ochotona syrinx); 4. Gansu Pika (Ochotona cansus); 5. Nubra Pika (Ochotona nubrica); 6. Plateau Pika (Ochotona curzoniae); 7. Thomas's Pika (Ochotona thomasi); 8. Alpine Pika (Ochotona alpina); 9. Turuchan Pika (Ochotona turuchanensis): 10. Northern Pika (Ochotona hyperborea); 11. Manchurian Pika (Ochotona mantchurica); 12. Hoffmann's Pika (Ochotona hoffmanni); 13. Korean Pika (Ochotona coreana), 14. Pallas's Pika (Ochotona pallasii).
Original dataset of :"First pre-Miocene paleomagnetic data from the Calabrian block document a 160° post-late Jurassic CCW rotation as a consequence of left-lateral shear along Alpine Tethys"
<p>In this table the original paleomagnetic dataset related to the research article :"First pre-Miocene paleomagnetic data from the Calabrian block document a 160° post-late Jurassic CCW rotation as a consequence of left-lateral shear along Alpine Tethys" is published</p>
On following pages: 180. Yellow-cheeked Chipmunk (Tamias ochrogenys); 181. Long-eared Chipmunk (Tamias quadrimaculatus 184. Hopi Chipmunk (Tamias rufus); 185. Colorado Chipmunk (Tamias quadrivittatus); 186. Merriam''s Chipmunk (Tamias California Chipmunk (Tamias obscurus); 190. Gray-collared Chipmunk (Tamias cinereicollis); 191. Gray-footed Chipmunk 194. Eastern Chipmunk (Tamias striatus); 195. White-tailed Antelope Squirrel (Ammospermophilus leucurus); 196 harrisii); 198. Texas Antelope Squirrel (Ammospermophilus interpres). ); 182. Lodgepole Chipmunk (Tamias speciosus); 183. Panamint Chipmunk (Tamias panamintinus), merriami); 187. Alpine Chipmunk (Tamias alpinus); 188. Palmer's Chipmunk (Tamias palmeri); 189. (Tamias canipes); 192. Durango Chipmunk (Tamias durangae); 193. Buller's Chipmunk (Tamias bulleri),. Nelson's Antelope Squirrel (Ammospermophilus nelsoni); 197. Harris's Antelope Squirrel (Ammospermophilus in Sciuridae
On following pages: 180. Yellow-cheeked Chipmunk (Tamias ochrogenys); 181. Long-eared Chipmunk (Tamias quadrimaculatus 184. Hopi Chipmunk (Tamias rufus); 185. Colorado Chipmunk (Tamias quadrivittatus); 186. Merriam''s Chipmunk (Tamias California Chipmunk (Tamias obscurus); 190. Gray-collared Chipmunk (Tamias cinereicollis); 191. Gray-footed Chipmunk 194. Eastern Chipmunk (Tamias striatus); 195. White-tailed Antelope Squirrel (Ammospermophilus leucurus); 196 harrisii); 198. Texas Antelope Squirrel (Ammospermophilus interpres). ); 182. Lodgepole Chipmunk (Tamias speciosus); 183. Panamint Chipmunk (Tamias panamintinus), merriami); 187. Alpine Chipmunk (Tamias alpinus); 188. Palmer's Chipmunk (Tamias palmeri); 189. (Tamias canipes); 192. Durango Chipmunk (Tamias durangae); 193. Buller's Chipmunk (Tamias bulleri),. Nelson's Antelope Squirrel (Ammospermophilus nelsoni); 197. Harris's Antelope Squirrel (Ammospermophilus
Distribution. Mt Cameroon, W Cameroon, and Bioko I, Equatorial Guinea. Descriptive notes. Head-body 100- 130 mm, tail 110-147 mm, ear 16-20 mm, hindfoot 21-25 mm; weight 27-62 g. Fur of the Cameroon Soft-furred Mouse is dark rufous-brown to blackish brown above and pale to dark gray below. Tail is very long (c.112% of head-body length) and dark. Hindfeet and forefeet are dark brown. Females have three pairs of nipples. Habitat. Montane forest and alpine grassland at elevations above 1000 m. Food and Feeding. No information. Breeding. Gestation lasts 26-30 days. Litters have 2-6 young. Activity patterns. The Cameroon Soft-furred Mouse is nocturnal and terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Cameroon Soft-furred Mouse occurs in two disjunct areas occupying only ¢.2900 km? and the extent and quality of its forest habitat continue to decline. Bibliography. Eisentraut (1970, 1973), Happold (2013a), Missoup et al. (2012), Monadjem etal. (2015). in Muridae
Distribution. Mt Cameroon, W Cameroon, and Bioko I, Equatorial Guinea. Descriptive notes. Head-body 100- 130 mm, tail 110-147 mm, ear 16-20 mm, hindfoot 21-25 mm; weight 27-62 g. Fur of the Cameroon Soft-furred Mouse is dark rufous-brown to blackish brown above and pale to dark gray below. Tail is very long (c.112% of head-body length) and dark. Hindfeet and forefeet are dark brown. Females have three pairs of nipples. Habitat. Montane forest and alpine grassland at elevations above 1000 m. Food and Feeding. No information. Breeding. Gestation lasts 26-30 days. Litters have 2-6 young. Activity patterns. The Cameroon Soft-furred Mouse is nocturnal and terrestrial. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Cameroon Soft-furred Mouse occurs in two disjunct areas occupying only ¢.2900 km? and the extent and quality of its forest habitat continue to decline. Bibliography. Eisentraut (1970, 1973), Happold (2013a), Missoup et al. (2012), Monadjem etal. (2015).
On following pages: 507. Cansdale's Swamp Rat (Malacomys cansdalel); 508. Edwards's Swamp Rat (Malacomys edwards); 509. Alpine Field Mouse (Apodemus alpicola), 510. Long-tailed Field Mouse (Apodemus sylvaticus); 511. Striped Field Mouse (Apodemus agrarius); 512. Western Broad-toothed Field Mouse (Apodemus epimelas); 513. Hyrcanian Field Mouse (Apodemus hyrcanicus); 514. Caucasus Field Mouse (Apodemus ponticus); 515. Herb Field Mouse (Apodemus uralensis); 516. Yellow-necked Field Mouse (Apodemus flavicollis); 517. Eastern Broad-toothed Field Mouse (Apodemus mystacinus), 518. Steppe Field Mouse (Apodemus witherbyi); 519. Nepalese Field Mouse (Apodemus gurkha); 520. Himalayan Field Mouse (Apodemus pallipes); 521. Kashmir Field Mouse (Apodemus rusiges); 522. Chevrier's Field Mouse (Apodemus chevrieri); 523. South China Field Mouse (Apodemus draco); 524. Large-eared Field Mouse (Apodemus latronum); 525. Taiwan Field Mouse (Apodemus semotus); 526. Korean Field Mouse (Apodemus peninsulae); 527. Small Japanese Field Mouse (Apodemus argenteus); 528. Large Japanese Field Mouse (Apodemus speciosus); 529. Okinawa Island Spiny Rat (Tokudaia muenninki); 530. Amami Spiny Rat (Tokudaiaosimensis); 531. Tokunoshima Spiny Rat (Tokudaia tokunoshimensis). in Muridae
On following pages: 507. Cansdale's Swamp Rat (Malacomys cansdalel); 508. Edwards's Swamp Rat (Malacomys edwards); 509. Alpine Field Mouse (Apodemus alpicola), 510. Long-tailed Field Mouse (Apodemus sylvaticus); 511. Striped Field Mouse (Apodemus agrarius); 512. Western Broad-toothed Field Mouse (Apodemus epimelas); 513. Hyrcanian Field Mouse (Apodemus hyrcanicus); 514. Caucasus Field Mouse (Apodemus ponticus); 515. Herb Field Mouse (Apodemus uralensis); 516. Yellow-necked Field Mouse (Apodemus flavicollis); 517. Eastern Broad-toothed Field Mouse (Apodemus mystacinus), 518. Steppe Field Mouse (Apodemus witherbyi); 519. Nepalese Field Mouse (Apodemus gurkha); 520. Himalayan Field Mouse (Apodemus pallipes); 521. Kashmir Field Mouse (Apodemus rusiges); 522. Chevrier's Field Mouse (Apodemus chevrieri); 523. South China Field Mouse (Apodemus draco); 524. Large-eared Field Mouse (Apodemus latronum); 525. Taiwan Field Mouse (Apodemus semotus); 526. Korean Field Mouse (Apodemus peninsulae); 527. Small Japanese Field Mouse (Apodemus argenteus); 528. Large Japanese Field Mouse (Apodemus speciosus); 529. Okinawa Island Spiny Rat (Tokudaia muenninki); 530. Amami Spiny Rat (Tokudaiaosimensis); 531. Tokunoshima Spiny Rat (Tokudaia tokunoshimensis).
On following pages: 250. Greater Small-toothed Rat (Macruromys major); 251. De Vis's Woolly Rat (Mallomys aroaensis); 252. Alpine Woolly Rat (Mallomys gunung); 253. Subalpine Woolly Rat (Mallomys istapantap); 254. Rothschild's Woolly Rat (Mallomys rothschildi); 255. Highland Mosaic-tailed Rat (Mammelomys lanosus); 256. Lowland Mosaic-tailed Rat (Mammelomys rattoides); 257. Short-tailed Talaud Mosaic-tailed Rat (Melomys caurinus); 258. Long-tailed Talaud Mosaic-tailed Rat (Melomys talaudium); 259. Dusky Seram Mosaic-tailed Rat (Melomys aerosus); 260. Manusela Mosaic-tailed Rat (Melomys fraterculus); 261. Seram Long-tailed Mosaic-tailed Rat (Melomys fulgens); 262. ObiIsland Mosaic-tailed Rat (Melomys obiensis); 263. Pavel's Seram Mosaic-tailed Rat (Melomys pavel)); 264. Rossel Island Mosaic-tailed Rat (Melomys arcium); 265. Bannister''s Mosaic-tailed Rat (Melomys bannisteri); 266. Fawn-footed Mosaic-tailed Rat (Melomys cervinipes); 267. Yamdena Island Mosaic-tailed Rat (Melomys cooperae); 268. Dollman's Mosaic-tailed Rat (Melomys dollmani); 269. Snow Mountains Grassland Mosaic-tailed Rat (Melomysfrigicola); 270. Riama Island Mosaic-tailed Rat (Melomys howi); 271. White-bellied Mosaic-tailed Rat (Melomys leucogaster); 272. Papua Grassland Mosaic-tailed Rat (Melomys lutillus); 273. Manus Island Mosaic-tailed Rat (Melomys matambuai); 274. Black-tailed Mosaic-tailed Rat (Melomys rufescens); 275. Bougainville Mosaic-tailed Rat (Melomys bougainville); 276. Grassland Mosaic-tailed Rat (Melomys burton); 277. Cape York Mosaic-tailed Rat (Melomys capensis). in Muridae
On following pages: 250. Greater Small-toothed Rat (Macruromys major); 251. De Vis's Woolly Rat (Mallomys aroaensis); 252. Alpine Woolly Rat (Mallomys gunung); 253. Subalpine Woolly Rat (Mallomys istapantap); 254. Rothschild's Woolly Rat (Mallomys rothschildi); 255. Highland Mosaic-tailed Rat (Mammelomys lanosus); 256. Lowland Mosaic-tailed Rat (Mammelomys rattoides); 257. Short-tailed Talaud Mosaic-tailed Rat (Melomys caurinus); 258. Long-tailed Talaud Mosaic-tailed Rat (Melomys talaudium); 259. Dusky Seram Mosaic-tailed Rat (Melomys aerosus); 260. Manusela Mosaic-tailed Rat (Melomys fraterculus); 261. Seram Long-tailed Mosaic-tailed Rat (Melomys fulgens); 262. ObiIsland Mosaic-tailed Rat (Melomys obiensis); 263. Pavel's Seram Mosaic-tailed Rat (Melomys pavel)); 264. Rossel Island Mosaic-tailed Rat (Melomys arcium); 265. Bannister''s Mosaic-tailed Rat (Melomys bannisteri); 266. Fawn-footed Mosaic-tailed Rat (Melomys cervinipes); 267. Yamdena Island Mosaic-tailed Rat (Melomys cooperae); 268. Dollman's Mosaic-tailed Rat (Melomys dollmani); 269. Snow Mountains Grassland Mosaic-tailed Rat (Melomysfrigicola); 270. Riama Island Mosaic-tailed Rat (Melomys howi); 271. White-bellied Mosaic-tailed Rat (Melomys leucogaster); 272. Papua Grassland Mosaic-tailed Rat (Melomys lutillus); 273. Manus Island Mosaic-tailed Rat (Melomys matambuai); 274. Black-tailed Mosaic-tailed Rat (Melomys rufescens); 275. Bougainville Mosaic-tailed Rat (Melomys bougainville); 276. Grassland Mosaic-tailed Rat (Melomys burton); 277. Cape York Mosaic-tailed Rat (Melomys capensis).
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.