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.
78
datasets available to search
ShareScore release 0.9.0
Dataset results
78 results for “distribution expansion”
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.
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.
Tolerance niche expansion and potential distribution prediction during Asian openbill bird range expansion
It is prevalent to use ecological niche models in the analysis of species expansion and niche changes. However, it is difficult to estimate the niche when alien species fail to establish in exotic areas. Here, we applied the tolerance niche concept, which means that niche of species can live and grow but preclude a species from establishing self-sustaining populations, in such fail-to-establish events. Taking the rapidly expanded bird, Asian openbill (Anastomus oscitans), as a model species, we investigated niche dynamics and its potential effects on the population by Niche A and ecospat, predicted potential distribution by biomod2. Results showed that niche expansion has occurred in two non-native populations caused by the tolerance of colder and wetter environments, and potential distribution mainly concentrated on equatorial islands. Our study suggested that the expanded niche belongs to tolerance niche concept according to the populations' dynamics and GPS tracking evidence. It is essential to consider source populations when we analyse the alien species. We recommended more consideration to the application of tolerance niche in alien species research, and there is still a need for standard measurement frameworks for analysing the tolerance niche.
Distribution. SW Brazil, known only from two sites, the type locality in Rondonia and Juruena (Mato Grosso State)Descriptive notes Head-body ¢.230 mm, tail ¢.80 mm. No specific data are available for body weight. Rondon's Tuco-tuco is medium-sized. Dorsal hairs are pale at bases and sepia at tips. Head and venterare slightly rufous, and tail is uniform brown. Skull is robust and depressed. Inter-maxillaries are also robust, with lateral protruding expansion; maxillaries are narrow; and mandible is strong and wide. Supraorbital process protrudes, and traverse occipital-temporal crest is straight. Bullae are inflated. in Ctenomyidae
Distribution. SW Brazil, known only from two sites, the type locality in Rondonia and Juruena (Mato Grosso State)Descriptive notes Head-body ¢.230 mm, tail ¢.80 mm. No specific data are available for body weight. Rondon's Tuco-tuco is medium-sized. Dorsal hairs are pale at bases and sepia at tips. Head and venterare slightly rufous, and tail is uniform brown. Skull is robust and depressed. Inter-maxillaries are also robust, with lateral protruding expansion; maxillaries are narrow; and mandible is strong and wide. Supraorbital process protrudes, and traverse occipital-temporal crest is straight. Bullae are inflated.
Nesokia is sister to Bandicota and are nested in Rattus phylogenetically, making Rat- tus paraphyletic. Tarsomys, Limnomys, and Diplothrix are also phylogenetically in Rat- tus, and the clade is in need of focused re- vision at the generic level. Nesokia bunnui was originally described as a separate ge-nus, Erythronesokia, because it is morphologically very distinctive from N. indica. Type specimen was destroyed during the Iraq War, and a neotype was recently designated to replace it. Monotypic. Distribution. Tigris and Euphrates river valleys, SE Iraq. Descriptive notes. Head—body 230-260 mm, tail 205-270 mm, ear 18-21 mm, hindfoot 49-58 mm; weight 519 g. The Long-tailed Bandicoot Rat is larger than the Short-tailed Bandicoot Rat (N. indica). Pelage is soft and woolly, interspersed with harsher coarse hair and long black hairs near mid-back. Dorsum is fawn to ocherous red, washed with purple or chestnuton darker individuals. Hairs are basally slate-gray and distally rufous, occasionally with whitish or black tips. Muzzle is drab. Sides arefawn, with gray edge toward venter. Venteris whitish, extending onto cheeks where the same pattern from gray to fawn to dorsal pelage occurs. Feet are large and robust, being light brown and well-furred dorsally. Claws are amber on forefeet and dull brown on hindfeet; pollux is extremely small. Ears are moderately long and brownish, with no hair internally. Tail is ¢.82-104% of head-body length and deep brownish drab, interspersed with visible white hair. Skull is large and robust, similarly to the Short-tailed Bandicoot Rat. Habitat. Marsh and swamp land. Food and Feeding. No information. Breeding. No information. Activity patterns. The Long-tailed Bandicoot Rat is terrestrial, although it isfound in swampy and marshy areas and is probably amphibious. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Longtailed Bandicoot Rat is apparently rare and is known from very few specimens. Marsh and swamp habitats in which it is found were completely destroyed during the Iraq War by draining, war damage, and agricultural expansion. In recent years, flooding from Tigris and Euphrates rivers and high snow fall and melt haveresulted in partial restoration ofits native habitat, although restoration is not a complete. Populations are now probably highly fragmented. Bibliography. Al-Ansari et al. (2012), Al-Robaae & Felten (1990), Khajuria (1981), Krystufek et al. (2017), Musser & Carleton (2005), Richardson & Hussain (2006), Stuart (2008). in Muridae
Nesokia is sister to Bandicota and are nested in Rattus phylogenetically, making Rat- tus paraphyletic. Tarsomys, Limnomys, and Diplothrix are also phylogenetically in Rat- tus, and the clade is in need of focused re- vision at the generic level. Nesokia bunnui was originally described as a separate ge-nus, Erythronesokia, because it is morphologically very distinctive from N. indica. Type specimen was destroyed during the Iraq War, and a neotype was recently designated to replace it. Monotypic. Distribution. Tigris and Euphrates river valleys, SE Iraq. Descriptive notes. Head—body 230-260 mm, tail 205-270 mm, ear 18-21 mm, hindfoot 49-58 mm; weight 519 g. The Long-tailed Bandicoot Rat is larger than the Short-tailed Bandicoot Rat (N. indica). Pelage is soft and woolly, interspersed with harsher coarse hair and long black hairs near mid-back. Dorsum is fawn to ocherous red, washed with purple or chestnuton darker individuals. Hairs are basally slate-gray and distally rufous, occasionally with whitish or black tips. Muzzle is drab. Sides arefawn, with gray edge toward venter. Venteris whitish, extending onto cheeks where the same pattern from gray to fawn to dorsal pelage occurs. Feet are large and robust, being light brown and well-furred dorsally. Claws are amber on forefeet and dull brown on hindfeet; pollux is extremely small. Ears are moderately long and brownish, with no hair internally. Tail is ¢.82-104% of head-body length and deep brownish drab, interspersed with visible white hair. Skull is large and robust, similarly to the Short-tailed Bandicoot Rat. Habitat. Marsh and swamp land. Food and Feeding. No information. Breeding. No information. Activity patterns. The Long-tailed Bandicoot Rat is terrestrial, although it isfound in swampy and marshy areas and is probably amphibious. Movements, Home range and Social organization. No information. Status and Conservation. Classified as Endangered on The IUCN Red List. The Longtailed Bandicoot Rat is apparently rare and is known from very few specimens. Marsh and swamp habitats in which it is found were completely destroyed during the Iraq War by draining, war damage, and agricultural expansion. In recent years, flooding from Tigris and Euphrates rivers and high snow fall and melt haveresulted in partial restoration ofits native habitat, although restoration is not a complete. Populations are now probably highly fragmented. Bibliography. Al-Ansari et al. (2012), Al-Robaae & Felten (1990), Khajuria (1981), Krystufek et al. (2017), Musser & Carleton (2005), Richardson & Hussain (2006), Stuart (2008).
Distribution. Restricted to arid inland Australia, including E edge of the Simpson Desert in far SW Queensland, the S Strzelecki Desert in South Australia, and the far NW New South Wales, with some expansion following periods of high rainfall and occasional records outside main known range. in Muridae
Distribution. Restricted to arid inland Australia, including E edge of the Simpson Desert in far SW Queensland, the S Strzelecki Desert in South Australia, and the far NW New South Wales, with some expansion following periods of high rainfall and occasional records outside main known range.
Expansion of non-native plant Flaveria bidentis (L.) Kuntze driven by range of factors leading to patchy distribution patterns
<p><span>Given the growing concern over the ecological impacts of non-native species, exploring these species' expansion edge and distribution patterns and their driving factors is important for developing suitable management measures. <em>Flaveria bidentis</em> (L.) Kuntze, a non-native plant that was introduced to China in the 1990s, has spread from southern Hebei Province, where it first took root, to the surrounding regions and has become one of the most notorious invasive weeds in northern China. Based on 15 years (2006-2021) of extensive field investigations, the spatial distribution of sampling and occurrence points were mapped in the recently expanded region of <em>F. bidentis</em>' population. Then, nearest neighbor analysis used to characterize the spatial pattern differences between samplings and occurrences. An exponential decay function was used to elucidate the driving factors contributing to the presence and absence of <em>F. bidentis</em>. Our results demonstrated an effective random sampling setup, a heterogeneous spatial distribution of <em>F. bidentis</em>, and a multi-regional independent aggregation distribution pattern (<em>p</em><0.01). There were significant spatial correlations between the aggregation areas of plant occurrence points and the locations of roads and construction sand distribution centers. These findings suggest that human activities involving major roads and construction sand distribution centers were driving factors contributing to this long-distance dispersal and spatially discontinuous distribution patterns.</span><span class="MsoCommentReference"><span> </span></span><span class="MsoCommentReference"><span>The presence of these patchy distribution patterns has important implications for ongoing efforts to manage populations of non-native species.</span></span></p>
FIGURE 1 in Molecular evidence supporting the expansion of the geographical distribution of the Brazilian cownose ray Rhinoptera brasiliensis (Myliobatiformes: Rhinopteridae) in the western Atlantic
FIGURE 1. (A) Maximum likelihood and Bayesian inference topologies for concatenated data mtDNA (Cyt b + NADH2 + COI) (B), nuclear (RAG1), and (C) concatenated data mtDNA+ RAG1. The numbers on branches are maximum likelihood bootstrap values and posterior probabilities of Bayesian inference, respectively. Lines have been color–coded: (R. bonasus) – green; (R. brasiliensis) –blue.
FIGURE 2 in Molecular evidence supporting the expansion of the geographical distribution of the Brazilian cownose ray Rhinoptera brasiliensis (Myliobatiformes: Rhinopteridae) in the western Atlantic
FIGURE 2. Median–joining network illustrating genealogical relationships among haplotypes of concatenated mtDNA (Cyt b+NADH2+COI) (1671 bp). The size of each haplotype circle is proportional to its frequency. Small intermediate circles represent median vectors of either unsampled or extinct taxa. Numbers indicate mutational steps between haplotype (one, if not shown). Color–coded by haplotypes between geographical locations.
Fig. 6 in From glacial refugia to wide distribution range: demographic expansion of Loropetalum chinense (Hamamelidaceae) in Chinese subtropical evergreen broadleaved forest
Fig. 6 Mismatch distribution analysis detected unimodel distributions with SSD and HRag statistics at the species level
Fig. 4 a in From glacial refugia to wide distribution range: demographic expansion of Loropetalum chinense (Hamamelidaceae) in Chinese subtropical evergreen broadleaved forest
Fig. 4 a Genetic admixture analysis conducted on AFLP data for L. chinense, L. chinense var. rubrum (CUL), and L. subcordatum (LS). Each vertical bar represents an individual and its assignment proportion into one of six population clusters. b Genetic structuring of populations based on AFLP data. The map of the individual assignment in each population to K = 6 clusters (C1–C6) is based on STRUCTURE analysis of the AFLP data. Each cluster is represented by a different color
Fig. 4 Species distribution models for Vaejovis carolinianus. Results were projected onto LGM conditions from MIROC a and CCSM4 b data sources invoking the model generated using current climates data c in Pliocene origins, Pleistocene refugia, and postglacial range expansions in southern devil scorpions (Vaejovidae: Vaejovis carolinianus)
Fig. 4 Species distribution models for Vaejovis carolinianus. Results were projected onto LGM conditions from MIROC a and CCSM4 b data sources invoking the model generated using current climates data c. Localities used to test and train the model are indicated by
Fig. 1 in Westward Expansion of Onthophagus taurus (Schreber) (Coleoptera: Scarabaeidae): Current Distribution of a Non-Native Species
Fig. 1. Current distribution of the non-native species Onthophagus taurus in the continental US (as of January 2024). Dark gray indicates states in which O. taurus was recorded previously, light gray indicates states with new records, and white indicates states with no records. The star represents the new state record described herein; dots represent records in previously unrecorded states. Previous records were compiled from Floate et al. (2017) and Bezanson and Floate (2019). Bezanson and Floate (2019) included states where O. taurus was recorded and states considered suitable for establishment based on climate analysis. States that were listed as suitable for establishment but lacked verified records in Bezanson and Floate (2019) were not considered states in which O. taurus was recorded previously. New state records (those not included in Bezanson and Floate 2019 or Floate et al. 2017) were compiled from data publicly available on GBIF (2024), observations on BugGuide (2024) and iNaturalist (2024), Gigliotti et al. (2019), Smith (1997), and personal communication (E. L. McCullough, September 2023). When coordinates were not available from the original data source, the geographic center of known locations (county records, island records, parks) was used. Only records with supporting images that accurately depicted O. taurus were considered for inclusion from iNaturalist and BugGuide. net. Supplemental data are available at https://bit.ly/3rKgAuI. Map developed using SimpleMappr (Shorthouse 2010).
Multi-Stage Integrated Transmission and Distribution Expansion Planning Under Uncertainties with Smart Investment Options - Case Study Assumptions
<p>A document containing the input assumptions for the case study published in the paper "Multi-Stage Integrated Transmission and Distribution Expansion Planning Under Uncertainties with Smart Investment Options".</p>
Means and standard errors of fits for the l=2 spherical harmonic expansion coefficients of the radio brightness distribution on the sky using Parker Solar Probe/FIELDS/RFS data
Open the record for dataset details and reuse information.
Data from: Genetic differentiation of western capercaillie in the Carpathian Mountains reveal the importance of post glacial expansions and habitat connectivity in understanding the present day European distribution
Population structure and barriers to gene flow are important components for understanding the evolutionary history of a species. Here we study population structure and differentiation in the western capercaillie (Aves: Phasianidae) along the Carpathian Mountains. Further, we compared the levels of population differentiation among capercaillie from the Carpathian Mountains, Balkans (Bulgaria) and the boreal forest (Russia and Sweden) in order to reveal past and current processes which may influence population structure. Tissue samples, non-invasive faeces and feathers and toe pads from museum specimens were used for genetic analyses of mitochondrial (mtDNA) sequences and allelic variation at nine nuclear DNA (nDNA) microsatellite loci. Analyses of mtDNA sequences revealed a southern subclade within the northern clade. Within the northern clade, microsatellite data distinguished two groups: (1) Western Carpathian populations; and (2) Eastern Carpathian and boreal forest populations. Bulgarian populations constituted a third cluster corresponding to the southern phylogenetic subclade. The Western Carpathian populations showed a heterozygote deficiency. The analyses indicate that the abundant Eastern Carpathian populations share alleles with populations from the boreal forest suggesting a common origin of these populations since the last glacial period. On the other hand, the Western Carpathian populations have been isolated over a long period with only a few migrants from the east, thereby becoming differentiated from the eastern and northern populations. The southern populations have been isolated from the northern populations since the last glacial maximum. The molecular analyses did not support the currently recognised taxonomy at the subspecies level.
Data from: Genetic structure and expansion of golden jackals (Canis aureus) in the north-western distribution range (Croatia and eastern Italian Alps)
Open the record for dataset details and reuse information.
Data from: Anthropogenic impact or anthropogenic accommodation? Distribution range expansion of the common wall lizard (Podarcis muralis) by means of artificial habitats in the north-eastern limits of its distribution range
Open the record for dataset details and reuse information.
Data from: How do cold-adapted plants respond to climatic cycles? interglacial expansion explains current distribution and genomic diversity in Primula farinosa L.
Open the record for dataset details and reuse information.
Data from: Persistence with episodic range expansion from the early Pleistocene: the distribution of genetic variation in the forest tree Corymbia calophylla (Myrtaceae) in south-western Australia
Open the record for dataset details and reuse information.
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.