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Animations: The solar internetwork. III. Unipolar versus bipolar flux appearance
<p>This repository provides three animations corresponding to Figures 3, 4, and 5 of the accepted manuscript ''The solar internetwork. III. Unipolar versus bipolar flux appearance" that will appear in the Astrophysical Journal. </p> <p>Short descriptions of the animations are as follows:</p> <p>1) <strong>fig3.mp4</strong>: This animation shows a 3D rendering of the magnetic field lines resulting from the magnetofrictional simulation of our Hinode/NFI HOP 151 data set. Field lines are plotted over the corresponding magnetograms. The different colors indicate the cosine of the magnetic field inclination, from +1 (violet, positive polarity) to -1 (red, negative polarity).</p> <p>2) <strong>fig4.mp4</strong>: The spatio-temporal evolution of an identified magnetic bipole. The left panel shows magnetic field lines connecting the footpoints of the bipole as derived from the magnetofrictional simulation. Different field lines have different colors for easier identification. The middle panel shows the loop footpoints (red contours) in the NFI magnetograms and the right panel in the corresponding intensity filtergrams.</p> <p>3) <strong>fig5.mp4</strong>: The spatio-temporal evolution of all detected loops (left) and clusters (right). Flux patches belonging to the same loops or clusters have the same contour colors.</p>
Subspecies and distribution. G. e. elegans Geoffroy Saint-Hilaire, 1837 — E Madagascar (from the region surrounding the Andapa Basin S to Tolagnaro). G. e. dambrensis Tate & Rand, 1941 — N Madagascar (originally described from Montagne d'Ambre, but animals at Ankarana are also referable to this form). G. e. occidentalis Albignac, 1971 — CW Madagascar (limestone regions of Bemaraha, Namoroka & Kelifely). in Eupleridae
Subspecies and distribution. G. e. elegans Geoffroy Saint-Hilaire, 1837 — E Madagascar (from the region surrounding the Andapa Basin S to Tolagnaro). G. e. dambrensis Tate & Rand, 1941 — N Madagascar (originally described from Montagne d'Ambre, but animals at Ankarana are also referable to this form). G. e. occidentalis Albignac, 1971 — CW Madagascar (limestone regions of Bemaraha, Namoroka & Kelifely).
Deer GPS and animal-borne camera data showing effects of gray wolves on niche overlap between mule and white-tailed deer in eastern Washington state
<p><span><span><span><span><span><span><span><span><span><span><span>Predators may alter niche overlap between prey species by eliciting divergent anti-predator behavior. Accordingly, we exploited heterogeneous gray wolf (<i>Canis lupus</i>) presence in Washington, USA, to contrast patterns of resource and dietary overlap between mule (<i>Odocoileus hemionus</i>) and white-tailed deer (<i>O. virginianus</i>) at sites with and without resident packs. Mule deer run (stot) in a way that is less effective as a means of fleeing from predators than the galloping gait of white-tailed deer. Consequently, mule deer manage risk from coursing predators like wolves by avoiding encounters, whereas white-tailed deer respond to such predators by exploiting areas where they are most likely to escape pursuit. Thus, under the "refuge partitioning hypothesis" whereby predators reduce prey niche overlap by eliciting use of different refugia, we predicted wolf exposure to (i) decrease resource and dietary overlap between these ungulates, and (ii) induce segregation consistent with each species using different parts of the landscape to reduce their wolf risk. At the home range scale, the ways in which resource overlap diminished in the wolf areas were consistent with the prey species reducing their respective risks, particularly with respect to slope, with mule deer separating from white-tailed deer by seeking steeper areas where wolf encounters are less likely. At the within-home range scale, the manner in which spatial overlap decreased in relation to forest cover was consistent with species-specific risk management, with mule deer avoiding wolf encounters by shifting toward this resource. Reduced resource overlap between the deer in areas occupied by wolves did not correspond with dietary divergence. Our findings suggest that wolf risk mediates spatial but not necessarily dietary overlap between sympatric ungulates, divergent anti-predator behavior is a non-consumptive pathway by which predators can reduce interspecific competition among prey, and use of disparate refugia by prey may not result in dietary divergence.</span></span></span></span></span></span></span></span></span></span></span></p>
Distribution. Llamas are found at 3800-5000 m above sea level in the Central Andes, from C Peru to W Bolivia and N Argentina. Llama distribution reached its apex during the expansion of the Inca Empire (1470-1532 ap), when pack trains were used to carry supplies for the royal armies to S Colombia and C Chile. Although originally indigenous and endemic to South America, Llamas have now been exported to countries around the world as a companion animal, featured in livestock shows, used for trekking and backpacking, cottage industry and home use ofits wool, and in North America increasingly utilized as a guard animal for protecting sheep and goats from canid predators. in Camelidae
Distribution. Llamas are found at 3800-5000 m above sea level in the Central Andes, from C Peru to W Bolivia and N Argentina. Llama distribution reached its apex during the expansion of the Inca Empire (1470-1532 ap), when pack trains were used to carry supplies for the royal armies to S Colombia and C Chile. Although originally indigenous and endemic to South America, Llamas have now been exported to countries around the world as a companion animal, featured in livestock shows, used for trekking and backpacking, cottage industry and home use ofits wool, and in North America increasingly utilized as a guard animal for protecting sheep and goats from canid predators.
Distribution. Balabac, Ramos, and Bugsuk Is, Palawan region, Phillipines. In the late 1990s, a small stock of eight Balabac Chevrotains escaped from their enclosures on Calauit Island, a small island off the coast of Busuanga Island, north of Palawan, where the species had been maintained and bred since 1982. These animals were reported to have increased to at least 21 free-living individuals by 2006. Apparently the species was also introduced to the larger island of Palawan. No recent records confirm that it is still extant there, although unconfirmed reports suggest that it may survive in southern Palawan. in Tragulidae
Distribution. Balabac, Ramos, and Bugsuk Is, Palawan region, Phillipines. In the late 1990s, a small stock of eight Balabac Chevrotains escaped from their enclosures on Calauit Island, a small island off the coast of Busuanga Island, north of Palawan, where the species had been maintained and bred since 1982. These animals were reported to have increased to at least 21 free-living individuals by 2006. Apparently the species was also introduced to the larger island of Palawan. No recent records confirm that it is still extant there, although unconfirmed reports suggest that it may survive in southern Palawan.
Distribution. Java. Several biogeographic reviews failed to list the genus for Bali, an island directly east of Java with strong biogeographic affinities to the latter. A sighting was, however, reported from Bali Barat National Park, in a birdwatching trip report. Given the live-animal trade of this species on Java, further records are needed to confirm whether or not there is a native population of the genus on Bali. If there is, biogeographic considerations suggest it would be most closely related to the Javan population and quite probably conspecific. in Tragulidae
Distribution. Java. Several biogeographic reviews failed to list the genus for Bali, an island directly east of Java with strong biogeographic affinities to the latter. A sighting was, however, reported from Bali Barat National Park, in a birdwatching trip report. Given the live-animal trade of this species on Java, further records are needed to confirm whether or not there is a native population of the genus on Bali. If there is, biogeographic considerations suggest it would be most closely related to the Javan population and quite probably conspecific.
Subspecies and Distribution. S. s. scrofa Linnaeus, 1758 — W Europe, from Denmark, Germany, Poland, and Czech Republic to N Italy and N Iberian Peninsula; possibly also Albania. The taxonomic status of animals in Austria, Switzerland, Slovenia, and Slovakia is unclear but presumably these populations are included in scrofa, as are the populations of Sweden, Finland, and the Baltic states. However, restocking of once depleted populations, for example in Italy, has likely involved the introduction and mixing of this subspecies with other subspecies, such as attila. S. s. affinis Gray, 1847 — S India and Sri Lanka. S. s. algirus Loche, 1867 — Tunisia, Algeria, and Morocco, on the coastal side of the mountains or in the low montane areas. S. s. attila Thomas, 1912 — Hungary, Ukraine, C & S Belarus, Romania, Moldova, and S Russia towards the N flank of the Caucasus, but not including the Transcaucasian countries of Georgia, Armenia, and Azerbaijan. The range possibly extends as far S as the Mesopotamian Delta in Iraq, in which case it would likely include W & SW Iran, and possibly E Turkey and Syria, where it borders with lybicus. Such a range could not be easily reconciled with a statement by Groves that "the difference between pigs from N and S of the Caucasus is quite striking; Transcaucasian boars are certainly not attila." This subspecies may also extend into C Asia and include Kazakhstan, Uzbekistan, and Turkmenistan, but no data exist to support this. S. s. baeticus Thomas, 1912 — originally described from Coto Donana, S Spain, and later merged with meridionalis; also S Portugal. Unless evidence is found that these Italian and Iberian populations are the relics of a much larger formerly contiguous range, this subspecies should be kept as distinct. S. s. coreanus Heude, 1897 — Korean Peninsula. S. s. eristatus Wagner, 1839 — Himalayas S to C India and E to Indochina (N of the Kra Isthmus). S. s. davidi Groves, 1981 — the arid zone from E Iran to Gujarat, including Pakistan and NW India, and perhaps N to Tajikistan. S. s. leucomystax Temminck, 1842 — main Is ofJapan (Honshu, Shikoku, Kyushu, Nakadori, Hiburijima, Tojima, Kushima, and other smaller Is). S. s. lybicus Gray, 1868 — Bulgaria, Greece, Turkey, Syria, Jordan, Israel, Palestine, in the past also in Lybia, and Egypt. The former Yugoslavia was included in its range, which would suggest that now Slovenia, Serbia, Croatia, Bosnia and Herzegovina, Montenegro, and Kosovo are within the range of this subspecies, although the exact boundaries are unclear. Pigs from Albania have been assigned to S. s. scrofa. S. s. majori De Beaux & Festa, 1927 — C & S Italian Peninsula. S. s. menidionalis Forsyth Major, 1882 — Corsica and Sardinia, with the proviso that the two populations are very likely to be introduced or feral. S. s. moupinensis Milne-Edwards, 1871 — China, S to Vietnam and W to Sichuan. S. s. nigripes Blanford, 1875 — the flanks of the Tianshan mountains in Kyrgyzstan and NW China (Xinjiang). An animal photographed in NE Iran (Golestan) looked like this subspecies. S. s. nukiuanus Kuroda, 1924 — Iriomote, Ishigaki, Okinawa, Tokunoshima, Amamioshima, and Kakerome Is in the Ryukyu chain in extreme S Japan, though some of these populations have hybridized with introduced domesticates. S. s. sibiricus Staffe, 1922 — Mongolia and Transbaikal (S & E of Lake Baikal). S. s. tawvanus Swinhoe, 1863 — Taiwan. S. s. ussuricus Heude, 1888 — far E Russia and the Manchurian region (China). Korean populations were previously included in this subspecies, but based on new evidence, the Korean taxon seems more similar to moupinensis. S. s. vittatus Boie, 1828 — Malay Peninsula, S of the Isthmus of Kra, the offshore islands of Terutai and Langkawi, Sumatra, Riau Archipelago, Java, Bali, and a range of smaller islands around these, including Babi, Bakong, Batam, Bawean, Bengkalis, Bintan, Bulan, Bunguran, Cuyo, Deli, Durian, Enggano, Galang, Jambongan, Karimon (Riau Is), Kundur, Lagong, Laut, Lingga, Lingung, Mapor, Moro Kecil, North Pagai, Nias, Panaitan, Payong, Penang, Pinie, Rupat, Siantan, Siberut, Simeulue, Singkep, Sugi, Sugi Bawa, Telibon, Tinggi, Tuangku, and the Tambelan Is. This species was originally present from the British Is in the extreme W, through Eurasia from S Scandinavia to S Siberia, extending as far E as Korea and Japan, and SE into some of the Sunda Is and Taiwan. In the S the species ranged along the Nile Valley to Khartoum, and N of the Sahara in Africa, more orless following the continental coasts of S, E, and SE Asia. Within this range it was absent only from extremely dry deserts, e.g. the driest regions of Mongolia and in China W of Sichuan; and alpine zones, such as the high altitudes of Pamir and Tien Shan. In recent centuries, the range of S. scrofa has changed dramatically because of hunting and changes in available habitat. The species disappeared from the British Is in the 17" century, from Denmark in the 19" century, and was greatly reduced in range and numbers in the 20" century from areas as distant as Tunisia, Sudan, Germany, and Russia. Following these severe declines, there were some slight population recoveries in Russia, Italy, Spain, and Germany in the mid-20™ century, and natural and assisted range expansions in Denmark and Sweden. The species has also been inadvertently reintroduced in various locations in the Great Britain via escapees of mixed origin from commercial farming enterprises. Ex-S. scrofa stocks also occur as introduced feral populations in various other parts of the world, including Australia, New Zealand, the eastern Malay Archipelago, and in North, Central, and South America. In all of these areas they are now generally recognized as a major pest. in Suidae
Subspecies and Distribution. S. s. scrofa Linnaeus, 1758 — W Europe, from Denmark, Germany, Poland, and Czech Republic to N Italy and N Iberian Peninsula; possibly also Albania. The taxonomic status of animals in Austria, Switzerland, Slovenia, and Slovakia is unclear but presumably these populations are included in scrofa, as are the populations of Sweden, Finland, and the Baltic states. However, restocking of once depleted populations, for example in Italy, has likely involved the introduction and mixing of this subspecies with other subspecies, such as attila. S. s. affinis Gray, 1847 — S India and Sri Lanka. S. s. algirus Loche, 1867 — Tunisia, Algeria, and Morocco, on the coastal side of the mountains or in the low montane areas. S. s. attila Thomas, 1912 — Hungary, Ukraine, C & S Belarus, Romania, Moldova, and S Russia towards the N flank of the Caucasus, but not including the Transcaucasian countries of Georgia, Armenia, and Azerbaijan. The range possibly extends as far S as the Mesopotamian Delta in Iraq, in which case it would likely include W & SW Iran, and possibly E Turkey and Syria, where it borders with lybicus. Such a range could not be easily reconciled with a statement by Groves that "the difference between pigs from N and S of the Caucasus is quite striking; Transcaucasian boars are certainly not attila." This subspecies may also extend into C Asia and include Kazakhstan, Uzbekistan, and Turkmenistan, but no data exist to support this. S. s. baeticus Thomas, 1912 — originally described from Coto Donana, S Spain, and later merged with meridionalis; also S Portugal. Unless evidence is found that these Italian and Iberian populations are the relics of a much larger formerly contiguous range, this subspecies should be kept as distinct. S. s. coreanus Heude, 1897 — Korean Peninsula. S. s. eristatus Wagner, 1839 — Himalayas S to C India and E to Indochina (N of the Kra Isthmus). S. s. davidi Groves, 1981 — the arid zone from E Iran to Gujarat, including Pakistan and NW India, and perhaps N to Tajikistan. S. s. leucomystax Temminck, 1842 — main Is ofJapan (Honshu, Shikoku, Kyushu, Nakadori, Hiburijima, Tojima, Kushima, and other smaller Is). S. s. lybicus Gray, 1868 — Bulgaria, Greece, Turkey, Syria, Jordan, Israel, Palestine, in the past also in Lybia, and Egypt. The former Yugoslavia was included in its range, which would suggest that now Slovenia, Serbia, Croatia, Bosnia and Herzegovina, Montenegro, and Kosovo are within the range of this subspecies, although the exact boundaries are unclear. Pigs from Albania have been assigned to S. s. scrofa. S. s. majori De Beaux & Festa, 1927 — C & S Italian Peninsula. S. s. menidionalis Forsyth Major, 1882 — Corsica and Sardinia, with the proviso that the two populations are very likely to be introduced or feral. S. s. moupinensis Milne-Edwards, 1871 — China, S to Vietnam and W to Sichuan. S. s. nigripes Blanford, 1875 — the flanks of the Tianshan mountains in Kyrgyzstan and NW China (Xinjiang). An animal photographed in NE Iran (Golestan) looked like this subspecies. S. s. nukiuanus Kuroda, 1924 — Iriomote, Ishigaki, Okinawa, Tokunoshima, Amamioshima, and Kakerome Is in the Ryukyu chain in extreme S Japan, though some of these populations have hybridized with introduced domesticates. S. s. sibiricus Staffe, 1922 — Mongolia and Transbaikal (S & E of Lake Baikal). S. s. tawvanus Swinhoe, 1863 — Taiwan. S. s. ussuricus Heude, 1888 — far E Russia and the Manchurian region (China). Korean populations were previously included in this subspecies, but based on new evidence, the Korean taxon seems more similar to moupinensis. S. s. vittatus Boie, 1828 — Malay Peninsula, S of the Isthmus of Kra, the offshore islands of Terutai and Langkawi, Sumatra, Riau Archipelago, Java, Bali, and a range of smaller islands around these, including Babi, Bakong, Batam, Bawean, Bengkalis, Bintan, Bulan, Bunguran, Cuyo, Deli, Durian, Enggano, Galang, Jambongan, Karimon (Riau Is), Kundur, Lagong, Laut, Lingga, Lingung, Mapor, Moro Kecil, North Pagai, Nias, Panaitan, Payong, Penang, Pinie, Rupat, Siantan, Siberut, Simeulue, Singkep, Sugi, Sugi Bawa, Telibon, Tinggi, Tuangku, and the Tambelan Is. This species was originally present from the British Is in the extreme W, through Eurasia from S Scandinavia to S Siberia, extending as far E as Korea and Japan, and SE into some of the Sunda Is and Taiwan. In the S the species ranged along the Nile Valley to Khartoum, and N of the Sahara in Africa, more orless following the continental coasts of S, E, and SE Asia. Within this range it was absent only from extremely dry deserts, e.g. the driest regions of Mongolia and in China W of Sichuan; and alpine zones, such as the high altitudes of Pamir and Tien Shan. In recent centuries, the range of S. scrofa has changed dramatically because of hunting and changes in available habitat. The species disappeared from the British Is in the 17" century, from Denmark in the 19" century, and was greatly reduced in range and numbers in the 20" century from areas as distant as Tunisia, Sudan, Germany, and Russia. Following these severe declines, there were some slight population recoveries in Russia, Italy, Spain, and Germany in the mid-20™ century, and natural and assisted range expansions in Denmark and Sweden. The species has also been inadvertently reintroduced in various locations in the Great Britain via escapees of mixed origin from commercial farming enterprises. Ex-S. scrofa stocks also occur as introduced feral populations in various other parts of the world, including Australia, New Zealand, the eastern Malay Archipelago, and in North, Central, and South America. In all of these areas they are now generally recognized as a major pest.
Distribution. Sulawesi and adjacent Is (Buton, Kabaena, Muna, Peleng, Lembeh, and on some of the Togian Is); thought to be extinct on Selayar I. Pigs have been widely domesticated through the Indonesian archipelago and beyond. This primarily involved the Eurasian Wild Pig (S. scrofa), but also S. celebensis, the only other species of pig successfully domesticated. Mitochondrial DNA studies of the dispersion of these domesticated forms agree on three major dispersal events, two involving S. scrofa and one S. celebensis. Evidence supports an early human-mediated translocation of S. celebensis to Flores and Timor and two later, separate human-mediated dispersals of domestic pig through islands of SE Asia into Oceania. In addition to Flores and Timor, S. celebensis is also thought to occur in its domesticated form on Halmahera, Lendu, Roti, and Savur Is, and even on Simeulue and Nias Is to the W of Sumatra and far from its island of origin, Sulawesi. In the Moluccas, and possibly elsewhere in this region, introduced S. celebensis are thought to have hybridized with other introduced pigs of S. scrofa derivation, and apparent hybrids between these species are now reported to survive on a number of islands, including Salawatti, Great Kei, Dobu, Seram, Ambon, Bacan, Ternate, Morotai, and New Guinea. It is also reported that in the 19" century the sows of domestic pigs in Sulawesi frequently mated with wild animals, after which they returned to their villages. in Suidae
Distribution. Sulawesi and adjacent Is (Buton, Kabaena, Muna, Peleng, Lembeh, and on some of the Togian Is); thought to be extinct on Selayar I. Pigs have been widely domesticated through the Indonesian archipelago and beyond. This primarily involved the Eurasian Wild Pig (S. scrofa), but also S. celebensis, the only other species of pig successfully domesticated. Mitochondrial DNA studies of the dispersion of these domesticated forms agree on three major dispersal events, two involving S. scrofa and one S. celebensis. Evidence supports an early human-mediated translocation of S. celebensis to Flores and Timor and two later, separate human-mediated dispersals of domestic pig through islands of SE Asia into Oceania. In addition to Flores and Timor, S. celebensis is also thought to occur in its domesticated form on Halmahera, Lendu, Roti, and Savur Is, and even on Simeulue and Nias Is to the W of Sumatra and far from its island of origin, Sulawesi. In the Moluccas, and possibly elsewhere in this region, introduced S. celebensis are thought to have hybridized with other introduced pigs of S. scrofa derivation, and apparent hybrids between these species are now reported to survive on a number of islands, including Salawatti, Great Kei, Dobu, Seram, Ambon, Bacan, Ternate, Morotai, and New Guinea. It is also reported that in the 19" century the sows of domestic pigs in Sulawesi frequently mated with wild animals, after which they returned to their villages.
Distribution of 8 species of large-seeded pines and their primary animal seed-dispersers in China: match or mismatch?
<p class="1"><span><b>Aim: </b>The geographic distribution of plants influenced by seed dispersal, but this influence on plants that use animals as seed dispersers is often overlooked. Here, we took large-seeded pines and primary seed dispersers as examples to explore the effects of existing or potential seed dispersal on the distribution of plants based on the geographical distribution of the two trophic species, it required understanding of (a) the distribution range and distribution characteristics of each species, and (b) the overlapping of distribution areas of animals and plants to explore whether they match.</span></p> <p class="1"><span><b>Location: </b>China</span></p> <p class="1"><span><b>Methods:</b> To find the target species, we identified eight large-seeded pine species in China in terms of seed size and wing traits as well as four primary seed disperser species in terms of body size, seed-diet, food hoarding behavior and frequencies in existing studies. Then, we obtained species distribution information from books and literature and used ArcGIS for mapping. Finally, we analyzed the distribution relationship by overlapping the distribution areas and patterns comprehensively. </span></p> <p class="1"><span><b>Results: </b>We identified eight species of large-seeded pines (<i>Pinus fenzeliana</i>,<i> P. gerardiana</i>,<i> P. dabeshanensis</i>,<i> P. koraiensis</i>,<i> P. pumila, P. bungeana, P. armandii</i>, and<i> P. sibirica</i>) and four species of primary seed dispersers (<i>Nucifraga caryocatactes</i>,<i> Sciurus vulgaris</i>,<i> Tamias sibiricus</i>, and<i> Sciurotamias davidianus</i>). These eight species of large-seeded pines interlaced from the Northeast to the Southwest of China along the mountains with an average altitude of 1000-2000 m, while each species of primary seed disperser had a wide distribution range that overlapped completely or partially with that of four or more species of the large-seeded pines. Not only that, our findings provided potential seed dispersers for pines that lack sufficient research on seed dispersal.</span></p> <p class="1"><span><b>Main conclusions:</b> The distribution pattern of large-seeded pines and the primary seed dispersers was matched, we believed that reciprocal relationship promotes this distribution pattern. Our study highlights the importance of incorporating the ecological consequences of geographical distribution into reciprocal interactions between species and biodiversity conservation.</span></p>
A 3-dimensional animation of a Kompolti root section revealing the aerenchyma 9-days post waterlogging.
<p>A three-dimensional animation of a root section from cultivar ‘Kompolti’ revealing the aerenchyma 9 d post-waterlogging. Aerenchyma are shown in blue and the whole root section in white. The images were obtained by X-ray Computed Tomography scanning of the root section. The resolution was 11 µm, and the animation was created using the program Volume Graphics Studio Max® 3.01.</p>
Animations for dissertation
<p>Animations of modeled ALPAO surface deformations for (a) a single poke, (b) a tilt command, and (c) astigmatism.</p>
Animal population data complementing the European Union One Health 2020 Zoonoses Report
<p>This dataset includes animal population aggregated data under the framework of Directive 2003/99/EC. REPORTING AUTHORITIES CONTRIBUTING TO EACH DATA COLLECTION: Animal_p20_20211109: >></p>
CNO-hM4D mediated perturbation of noradrenergic DBH-Cre neurons whole animal plethysmography recordings
<p>Plethysmography on conscious, unrestrained mice was carried out as described on 6-12 week old adult animals with at least 12 animals in both the experimental and control group for a given experiment. Mice were subjected to a five-day habituation protocol with each day consisting of several minutes of handling, temperature taken by rectal probe, intraperitoneal saline injection, and 30 minutes in the plethysmography chamber. Mice were then tested within one week of the last day of conditioning.</p> <p>On the day of testing, mice were taken from their home cage, weighed, and rectal temperature was taken. Animals were then placed into an airtight, temperature controlled (~32<strong>°</strong>C) plethysmography chamber and allowed to acclimate for at least 20 minutes in room air (21% O<sub>2</sub>/79% N<sub>2</sub>) conditions. After acclimation and measurement under room air, the chamber gas was switched to a hypercapnic mixture of 5% CO<sub>2</sub>/21% O<sub>2</sub>/74% N<sub>2 </sub>for 20 minutes. Chamber gas was then switched back to room air for 20 minutes. The mice were briefly removed for rectal temperature measurement and intra-peritoneal injection of clozapine-N-oxide (CNO, National Institute of Mental Health Chemical Synthesis and Drug Supply Program) dissolved in saline (0.1 mg/mL) for an effective concentration 1 mg/kg. The animal was returned to the chamber for another 20 minutes of room air, 20 minutes of hypercapnia, and 20 minutes of room air. The animal was then removed from the chamber and rectal temperature was taken immediately afterwards and again 30 minutes after the termination of the experiment. The animal was placed in its own cage during these 30 minutes at the ambient room temperature (~23<strong>°</strong>C).</p> <p>Individual recordings for all animals expressing hM4D receptors in NA neurons are in this repository. </p>
CNO-hM3D mediated perturbation of noradrenergic DBH-Cre neurons whole animal plethysmography recordings
<p>Plethysmography on conscious, unrestrained mice was carried out as described on 6-12 week old adult animals with at least 12 animals in both the experimental and control group for a given experiment. Mice were subjected to a five-day habituation protocol with each day consisting of several minutes of handling, temperature taken by rectal probe, intraperitoneal saline injection, and 30 minutes in the plethysmography chamber. Mice were then tested within one week of the last day of conditioning.</p> <p>On the day of testing, mice were taken from their home cage, weighed, and rectal temperature was taken. Animals were then placed into an airtight, temperature controlled (~32<strong>°</strong>C) plethysmography chamber and allowed to acclimate for at least 20 minutes in room air (21% O<sub>2</sub>/79% N<sub>2</sub>) conditions. After acclimation and measurement under room air, the chamber gas was switched to a hypercapnic mixture of 5% CO<sub>2</sub>/21% O<sub>2</sub>/74% N<sub>2 </sub>for 20 minutes. Chamber gas was then switched back to room air for 20 minutes. The mice were briefly removed for rectal temperature measurement and intra-peritoneal injection of clozapine-N-oxide (CNO, National Institute of Mental Health Chemical Synthesis and Drug Supply Program) dissolved in saline (0.1 mg/mL) for an effective concentration 1 mg/kg. The animal was returned to the chamber for another 20 minutes of room air, 20 minutes of hypercapnia, and 20 minutes of room air. The animal was then removed from the chamber and rectal temperature was taken immediately afterwards and again 30 minutes after the termination of the experiment. The animal was placed in its own cage during these 30 minutes at the ambient room temperature (~23<strong>°</strong>C).</p> <p>Individual recordings for all animals expressing hM3D receptors in NA neurons are in this repository. </p>
Data from: Can matrix structure affect animal navigation between fragments? A dispersal experiment using release platforms
<p>The persistence of species in fragmented landscapes relies on landscape connectivity and individuals' ability in dispersing among habitat patches. Accordingly, matrix structure can affect the orientation of dispersing individuals across the landscape. In this study, we measured the impact of matrix structure on the dispersal performance of the white-eared opossum (Didelphis albiventris). We released individuals in three types of matrix: bare field, corn crops and soybean crops, with distances of 30, 50 and 100 m to the nearest habitat patch. To test if the release height would affect the individuals' dispersal performance, we released animals from the ground and from 2 m high platforms. We released and tracked 14 individuals in bare field on the ground; 30 in corn crops, 22 on the ground and 8 on platforms; 17 on soybeans crop, 12 on the ground and 5 on platforms. The type of matrix influenced the perceptual range. Perceptual range was 100 m in bare field, 50 m in cornfield and less than 30 m in soybean field. The platforms only increased the perceptual range of individuals in the cornfield from 50 to 100 m. Visual and olfactory cues would cause this effect. We conclude that matrix structure affects dispersal performance, and that vertical elements of the matrix, such as scattered trees, may increase orientation in crop fields during inter-patch dispersal.</p>
Selfee: Self-supervised features extraction of animal behaviors
<p class="MsoNormal"><span>Fast and accurately characterizing animal behaviors is crucial for neuroscience research. Deep learning models are efficiently used in laboratories for behavior analysis. However, it has not been achieved to use an end-to-end unsupervised neural network to extract comprehensive and discriminative features directly from social behavior video frames for annotation and analysis purposes. Here, we report a self-supervised feature extraction (Selfee) convolutional neural network with multiple downstream applications to process video frames of animal behavior in an end-to-end way. Visualization and classification of the extracted features (Meta-representations) validate that Selfee processes animal behaviors </span><span>in a way similar to human perception</span><span>. We demonstrate that Meta-representations </span><span>can be efficiently used to detect anomalous behaviors that are indiscernible to human observation and hint in-depth analysis. Furthermore, time-series analyses of Meta-representations reveal the temporal dynamics of animal behaviors. In conclusion, we present a self-supervised learning approach to extract comprehensive and discriminative features directly from raw video recordings of animal behaviors and demonstrate its potential usage for various downstream applications.</span></p>
Red in tooth and claw: A review of animal antagonistic roles in movies
<p>1. Although cinema narrative represents a fundamental communication tool in framing public opinion, whether or not a negative representation of certain species in the context of animal-horror movies might increase the attitudinal hostilities toward them, remains an aspect of wildlife perception that is poorly studied.</p> <p>2. Here, we reviewed online sources from the last 70 years to describe the negative representation of animals roles in horror and disaster movies. Specifically, we described species diversity, how the animal was depicted, the cause for its aggressive behavior, and how it came in contact with the human characters. By means of Principal Coordinate Analysis (PCoA), we also highlighted three main typologies of animal-horror movies.</p> <p>3. The dataset consisted of 263 titles produced worldwide from 1950 to 2019. The results showed that animal representation is transversal yet uneven, with five species groups out of 18 appearing in more than half of the movies. There were significant associations between species, their representation and the different kinds of movies they appeared in, with some species groups appearing more commonly in certain types of film plots rather than others.</p> <p>4. Together, the results suggested that both the themes and topics of animal-horror movies were often the result of a combination of factors, including fashion-driven audience interests, societal and political concerns, and technological availability at the time of production. Whether this repeated and variegated representation can increase attitudinal hostility, remains however unclear.</p>
Increasing pollen production at high latitudes across animal-pollinated flowering plants
<p><span><b>Aim: </b>Plant reliance on animal mutualists is expected to decrease with latitude owing to increasing environmental instability. As a consequence, more erratic animal pollination in the temperate zones than in the tropics could translate into lower efficiency in pollen transfer, and thus increasing pollen wastage. Despite the relevance of this hypothesis for plant reproductive evolution, the implications of a proposed latitudinal gradient in pollinator reliability for pollen and ovule production, traits directly affecting seed siring and seed set, respectively, remain unresolved. </span></p> <p><span><b>Location: </b>Global.</span></p> <p><span><b>Time period:</b>1971-2020.</span></p> <p><span><b>Major taxa studied: </b>Angiospermae.</span></p> <p><span><b>Methods: </b>Based on a bibliographic survey and our own data, we collated a dataset with information on pollen production (P) and ovule number (O) per flower from 419 studies, including a total of 1392 animal-pollinated angiosperm species from 141 families distributed worldwide and sampled between the equator and 68.35<sup>o </sup>latitude. Using phylogenetic general linear mixed models, we investigated latitudinal variation in P and O. We also tested a latitudinal effect on several ancillary plant traits associated with a plant's mating system and pollinator specialization that might confound any latitudinal effect on gamete production. </span></p> <p><span><b>Results: </b>P but not O was positively associated with latitude, a trend that even became stronger after including the latitudinally-varying ancillary traits (i.e., growth form, flower size, flower symmetry and number of pollinator orders). The latitudinal effect on P was more pronounced among species producing large flowers, a trait that could be linked to self-incompatibility and thus outcrossing. A weak phylogenetic patterning of P also indicates high evolvability potential of this trait that can have an effect on both male and female plant fitness. </span></p> <p><span><b>Main conclusions: </b>Even though a latitudinal trend in pollinator reliability still awaits direct testing, the observed latitudinal increase in P across angiosperms can be interpreted as an evolutionary consequence of an increasingly unpredictable pollination environment.</span></p>
Individual and collective encoding of risk in animal groups
The need to make fast decisions under risky and uncertain conditions is a widespread problem in the natural world. While there has been extensive work on how individual organisms dynamically modify their behavior to respond appropriately to changing environmental conditions (and how this is encoded in the brain), we know remarkably little about the corresponding aspects of collective information processing in animal groups. For example, many groups appear to show increased "sensitivity" in the presence of perceived threat, as evidenced by the increased frequency and magnitude of repeated cascading waves of behavioral change often observed in fish schools and bird flocks under such circumstances. How such context-dependent changes in collective sensitivity are mediated, however, is unknown. Here we address this question using schooling fish as a model system, focusing on 2 nonexclusive hypotheses: 1) that changes in collective responsiveness result from changes in how individuals respond to social cues (i.e., changes to the properties of the "nodes" in the social network), and 2) that they result from changes made to the structural connectivity of the network itself (i.e., the computation is encoded in the "edges" of the network). We find that despite the fact that perceived risk increases the probability for individuals to initiate an alarm, the context-dependent change in collective sensitivity predominantly results not from changes in how individuals respond to social cues, but instead from how individuals modify the spatial structure, and correspondingly the topology of the network of interactions, within the group. Risk is thus encoded as a collective property, emphasizing that in group-living species individual fitness can depend strongly on coupling between scales of behavioral organization.
Unmanned aerial vehicles as a useful tool for investigating animal movements - samples
<p><span>Determining animal abundance is crucial for assessing the effectiveness of management measures against pest animals. Meanwhile, investigating animal movements has become important for conducting abundance estimations of unmarked animals since the random encounter model (REM)</span><span> was published. REM is a camera-trapping method </span><span>that derives animal density by using contact ratio between camera-traps and targeted animals that randomly move at a certain speed in a given area. However, it</span><span> requires an independent value, which is animal speed. F</span><span>or investigating animal speed, camera-traps with video recording and GPS tagging are the commonly used tools.</span></p> <p><span>U</span><span>nmanned aerial vehicles (UAVs) are currently used in wildlife monitoring to investigate the abundance of target species. It is evaluated as a tool that is non-invasive and suitable for surveys in inaccessible landscapes. Considering these characteristics, we regarded a distant survey using this technology as suitable for investigating animal movements. </span><span>Therefore, we proposed a method for estimating animal movements using UAVs and conducted a case study that aimed to investigate wild boars' movements.</span></p> <p><span>We collected 11 video samples that successfully followed the movements of wild boars from 26 UAV flights in total, and the average speed of their movements derived from all the samples was 1.54 km/24 h.</span></p> <p><span>We found that issues can be improved, including species identification, video sample length, and animal behaviours or activity patterns. On the other hand, our method showed potential for applying to species with specific characteristics in their body size, shape or activity patterns. With improvements in the issues mentioned above, UAVs would become an alternative tool for investigating animal movements.</span></p>
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.