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Figure data to "Quantitative description of long-range order in the spin-1/2 XXZ antiferromagnet on the square lattice"
<p>This collection contains the data of the figures shown in the publication "Quantitative description of long-range order in the spin-1/2 XXZ antiferromagnet on the square lattice" as txt files.</p> <p>The CST datasets "Fig1_Gap_CST.txt", "Fig1_Energy_CST.txt" and "Fig3_CST.txt" are already published in https://doi.org/10.5281/zenodo.7528316 and included here for the sake of completeness.</p>
Figs 35–42 in Acrobasis khachella (Amsel, 1950): Little-known snout moth species and new data about its range and habitats (Lepidoptera, Pyralidae, Phycitinae)
Figs 35–42. Acrobasis khachella (Amsel, 1950), habitats: Kyrgyzstan: 35 — Talassky Mts., Kara-Buura river bank; 36 — Alai Mts., Kyzyl-Eshme valley; 37 — Moldo-Too Mts., Koro-Goo Pass environs; 38 — Dzhumgaltoo Mts., Sary-Kaiky gorge near Kojomkul; 39 — Kirghizsky Mts., Ala-Too settlement environs; 40 — Alai Mts., near Kara-Bulak; Kazakhstan: 41 — Dzhungarsky Alatau Mts., Usek river valley; Tajikistan: 42 — Shakhdarinsky Mts., Vezdara river valley (in the center: the author of this article with the local driver, Maziyo) Рис. 35–42. Acrobasis khachella (Amsel, 1950), биотопы: Киргизия: 35 — ТаΛасский хр., побережье р. Кара-Буура; 36 — АΛайский хр., ущ. КызыΛ-Эшме; 37 — хр. МоΛΑо-Тоо, окр. пер. Коро-Гоо; 38 — хр. ΔжумгаΛтоо, массив Сары-Кайкы бΛиз пос. КожомкуΛ; 39 — Киргизский хр., окр. пос. АΛа-Тоо; 40 — АΛайский хр., бΛиз пос. Кара-БуΛак; Казахстан: 41 — хр. Δжунгарский АΛатау, ΑоΛина р. Усек; ТаAжикистан: 42 — ШахΑаринский хр., ΑоΛина р. ВезΑара (в центре: автор настоящей работы и местный воΑитеΛь, Мазиё)
Figs 1–27 in Acrobasis khachella (Amsel, 1950): Little-known snout moth species and new data about its range and habitats (Lepidoptera, Pyralidae, Phycitinae)
Figs 1–27. Acrobasis khachella (Amsel, 1950), upper sides: 1 — Kyrgyzstan, Kirghizsky Mts., Ala-Too environs; 2 — Kazakhstan, Dzhungarsky Alatau Mts., Usek river valley; 3 — Tajikistan, Shakhdarinsky Mts., Vezdara river valley; 4 — Kyrgyzstan, Fergansky Mts., southern shore of Toktogul reservoir near Imeni Chkalova; 5 — Kyrgyzstan, Alai Mts., Kyzyl-Eshme valley; 6–8 — Kyrgyzstan, Alai Mts. near Kara-Bulak; 9–14 — Kyrgyzstan, Talassky Mts., Kara-Buura river valley; 15–18 — Kyrgyzstan, Fergansky Mts., Kara-Suu river valley; 19 — Kyrgyzstan, south shore of the Issyk Kul Lake near Kara-Talaa; 20–27 — Kyrgyzstan, Moldo-Too Mts., near the Koro-Goo Pass. 1, 9, 23, 24 — females, the remaining specimens — males. Scale bar: 1 cm Рис. 1–27. Acrobasis khachella (Amsel, 1950), виΑ сверху: 1 — Киргизия, Киргизский хр., окр. пос. АΛа-Тоо; 2 — Казахстан, хр. Δжунгарский АΛатау, ΑоΛина р. Усек; 3 — ТаΑжикистан, ШахΑаринский хр., ΑоΛина р. ВезΑара; 4 — Киргизия, Ферганский хр., южный берег ТоктогуΛьского вΑхр. бΛиз пос. имени ЧкаΛова; 5 — Киргизия, АΛайский хр., ущ. КызыΛ-Эшме; 6–8 — Киргизия, АΛайский хр. бΛиз пос. Кара-БуΛак; 9–14 — Киргизия, ТаΛасский хр., ΑоΛина р. Кара-Буура; 15–18 — Киргизия, Ферганский хр., ΑоΛина р. Кара-Суу; 19 — Киргизия, южный берег оз. Иссык-КуΛь бΛиз пос. Кара-ТаΛаа; 20–27 — Киргизия, хр. МоΛΑо-Тоо, бΛиз пер. Коро-Гоо; 1, 9, 23, 24 — самки, остаΛьные — самцы. Масштабная метка: 1 см
Data from: Home range and habitat selection of wolves recolonising Central European human-dominated landscapes
<p>Decades of persecution has resulted in the long-term absence of grey wolves (<em>Canis lupus</em>) from most European countries. However, recent changes in both legislation and public attitudes toward wolves has eased the pressure, allowing wolves to rapidly re-establish territories in their previous Central European habitats over the last 20 years. Unfortunately, these habitats are now heavily altered by humans. Understanding the spatial ecology of wolves in such highly modified environments is crucial, given the high potential for conflict and the need to reconcile their return with multiple human concerns. We equipped 20 wolves, originating from seven packs in six Central European regions, with GPS collars, allowing us to calculate monthly average home range sizes for 14 of the animals of 213.3 km2 using Autocorrelated Kernel Density Estimation. We then used ESA WorldCover data to assess the mosaic of available habitats used within each home range. Our data confirmed a general seasonal pattern for breeding individuals, with smaller apparent home ranges during the reproduction phase, and no specific pattern for non-breeders. Predictably, our wolves showed a general preference for remote areas, and especially forests, though some wolves within military training areas also showed a broader preference for grassland, possibly influenced by local land use and high availability of prey. Our results provide a comprehensive insight into the ecology of wolves during their re-colonisation of Central Europe. Though wolves are spreading relatively quickly across Central European landscapes, their permanent reoccupation remains uncertain due to conflicts with the human population. To secure the restoration of European wolf populations, further robust biological data, including data on spatial ecology, will be needed to clearly identify any management implications.</p>
Variable species establishment in response to microhabitat indicates different likelihoods of climate-driven range shifts
<p>Climate change is causing geographic range shifts globally, and understanding the factors that influence species' range expansions is crucial for predicting future biodiversity changes. A common, yet untested, assumption in forecasting approaches is that species will shift beyond current range edges into new habitats as they become macroclimatically suitable, even though microhabitat variability could have overriding effects on local population dynamics. We aim to better understand the role of microhabitat in range shifts in plants through its impacts on establishment by Q1) examining microhabitat variability along large macroclimatic (i.e., elevational) gradients, Q2) testing which of these microhabitat variables explain plant recruitment and seedling survival, and Q3) predicting microhabitat suitability beyond species range limits. We transplanted seeds of 25 common tree, shrub, forb, and graminoid species across and beyond their current elevational ranges in the Washington Cascade Range, USA, along a large elevational gradient spanning a broad range of macroclimates. Over five years, we recorded recruitment, survival, and microhabitat (i.e., high resolution soil, air, and light) characteristics rarely measured in biogeographic studies. We asked whether microhabitat variables correlate with elevation, which variables drive species establishment, and whether microhabitat variables important for establishment are already suitable beyond leading range limits. We found that only 30% of microhabitat parameters covaried with elevation. We further observed extremely low recruitment and moderate seedling survival, and these were generally only weakly explained by microhabitat. Moreover, species and life stages responded in contrasting ways to soil biota, soil moisture, temperature, and snow duration. Microhabitat suitability predictions suggest that distribution shifts are likely to be species-specific, as different species have different suitability and availability of microhabitat beyond their present ranges, thus calling into question low-resolution macroclimatic projections that will miss such complexities. We encourage further research on species responses to microhabitat and including microhabitat in range shift forecasts.</p>
Рис. 1. Sicista betulina: 1 — Λесная мышовка, пойманная в окрестностях сеΛа КойÀа; 2 — карта распространения виÀа: зеΛеная заΛивка — ареаΛ виÀа по Burgin et al. 2020, синие звезÀочки — точки нахоÀок в национаΛьном парке «Онежское Поморье» и на СоΛовецком архипеΛаге (Черенкова 2014), красный круг — новая нахоÀка в районе Àеревни КойÀа; 3–4 — биотопы, в которых быΛ встречен виÀ в окрестностях сеΛа КойÀа Fig. 1. Sicista betulina: 1 — the northern birch mouse caught in the vicinity of Koida village; 2 — the species distribution map: the green fill — species range according to Burgin et al. 2020; the blue stars — points where the species was found in the Onezhskoye Pomorye National Park and on the Solovetsky Archipelago (Cherenkova 2014); the red circle — a new find in the area of Koida village; 3–4 — biotopes in which the species was encountered in the vicinity of Koida village in A new record of the northern birch mouse Sicista betulina (Pallas, 1779) in the north of the Arkhangelsk Region (Rodentia: Sminthidae)
Рис. 1. Sicista betulina: 1 — Λесная мышовка, пойманная в окрестностях сеΛа КойÀа; 2 — карта распространения виÀа: зеΛеная заΛивка — ареаΛ виÀа по Burgin et al. 2020, синие звезÀочки — точки нахоÀок в национаΛьном парке «Онежское Поморье» и на СоΛовецком архипеΛаге (Черенкова 2014), красный круг — новая нахоÀка в районе Àеревни КойÀа; 3–4 — биотопы, в которых быΛ встречен виÀ в окрестностях сеΛа КойÀа Fig. 1. Sicista betulina: 1 — the northern birch mouse caught in the vicinity of Koida village; 2 — the species distribution map: the green fill — species range according to Burgin et al. 2020; the blue stars — points where the species was found in the Onezhskoye Pomorye National Park and on the Solovetsky Archipelago (Cherenkova 2014); the red circle — a new find in the area of Koida village; 3–4 — biotopes in which the species was encountered in the vicinity of Koida village
Рис. 2. Новые места нахоΔок ротана в системе СреΔнего Енисея: А— пруΔ № 5 (56°02′32.1″ с. ш., 93°07′10.7″ в. Δ.), Б — карьер № 1 (56°04′15.5″ с. ш., 93°09′58.8″ в. Δ.) in Extension Of The Range Of Amur Sleeper Dybowski, 1877 (Perciformes: Odontobutidae) In The Yenisei River System
Рис. 2. Новые места нахоΔок ротана в системе СреΔнего Енисея: А— пруΔ № 5 (56°02′32.1″ с. ш., 93°07′10.7″ в. Δ.), Б — карьер № 1 (56°04′15.5″ с. ш., 93°09′58.8″ в. Δ.)
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1 in Extension Of The Range Of Amur Sleeper Dybowski, 1877 (Perciformes: Odontobutidae) In The Yenisei River System
Рис. 1. Обзорная схема распоΛожения обсΛеΔованных воΔных объектов системы СреΔнего Енисея. Номера воΔных объектов привеΔены в соответствии с табΛицей 1 Fig. 1. The location scheme of the examined water bodies of the Middle Yenisei system. The water bodies are numbered in accordance with Table 1
Fig. 3 in Distribution range expansion of Salamandra infraimmaculata Martens, 1885 (Caudata: Salamandridae) in Anatolia, Turkey, with a new locality record
Fig. 3. Predicted distribution of Salamandra infraimmaculata under current climatic conditions. Warm colors (red and yellow) show suitable habitats, whereas the blue color represents unsuitable habitats for S. infraimmaculata.
Fig. 2 in Distribution range expansion of Salamandra infraimmaculata Martens, 1885 (Caudata: Salamandridae) in Anatolia, Turkey, with a new locality record
Fig. 2. Distribution patterns of Salamandra infraimmaculata throughout southern Anatolia together with the new locality record.
Fig. 1 in Distribution range expansion of Salamandra infraimmaculata Martens, 1885 (Caudata: Salamandridae) in Anatolia, Turkey, with a new locality record
Fig. 1. Samples of Salamandra infraimmaculata captured from the new locality: (A) male and (B) female.
Fig. 4 in Distribution range expansion of Salamandra infraimmaculata Martens, 1885 (Caudata: Salamandridae) in Anatolia, Turkey, with a new locality record
Fig. 4. The marginal response curves of S. infraimmaculata to (A) Minimum Temperature of Coldest Month (Bio6), (B) Mean Temperature of Wettest Quarter (Bio8), and (C) Precipitation of Warmest Quarter (Bio18). The red lines and blue shading respectively show the mean responses of the 30 replicate MaxEnt runs and the mean plus/minus one standard deviation.
Resource manipulation reveals interactive phenotype-dependent foraging in free-ranging lizards
<p>Recent evidence suggests that individuals differ in foraging tactics and this variation is often linked to an individual's behavioural type (BT). Yet, while foraging typically comprises a series of search and handling steps, empirical investigations have rarely considered BT-dependent effects across multiple stages of the foraging process, particularly in natural settings.</p> <p>In our long-term sleepy lizard (Tiliqua rugosa) study system, individuals exhibit behavioural consistency in boldness (measured as an individual's willingness to approach a novel food item in the presence of a threat) and aggressiveness (measured as an individual's response to an 'attack' by a conspecific dummy). These BTs are only weakly correlated and have previously been shown to have interactive effects on lizard space use and movement, suggesting that they could also affect lizard foraging performance, particularly in their search behaviour for food.</p> <p>To investigate how lizards' BTs affect their foraging process in the wild, we supplemented food in 123 patches across a 120-ha study site with three food abundance treatments (high, low, and no-food-controls). Patches were replenished twice a week over the species' entire spring activity season and feeding behaviours were quantified with camera traps at these patches. We tracked lizards using GPS to determine their home range (HR) size and repeatedly assayed their aggressiveness and boldness in designated assays.</p> <p>We hypothesised that bolder lizards would be more efficient foragers while aggressive ones would be less attentive to the quality of foraging patches. We found an interactive BT effect on overall foraging performance. Individuals that were both bold and aggressive ate the highest number of food items from the foraging array. Further dissection of the foraging process showed that aggressive lizards in general ate the fewest food items in part because they visited foraging patches less regularly, and because they discriminated less between high and low-quality patches when revisiting them. Bolder lizards, in contrast, ate more tomatoes because they visited foraging patches more regularly, and ate a higher proportion of the available tomatoes at patches during visits.</p> <p>Our study demonstrates that BTs can interact to affect different search and handling components of the foraging process, leading to within-population variation in foraging success. Given that individual differences in foraging and movement will influence social and ecological interactions, our results highlight the potential role of BT's in shaping individual fitness strategies and population dynamics.</p>
Fig. 2 in Extension Of The Range Of Amur Sleeper Dybowski, 1877 (Perciformes: Odontobutidae) In The Yenisei River System
Fig. 2. New locations of Amur sleeper findings in the Middle Yenisei system: A — pond No. 5 (56°02′32.1″ N, 93°07′10.7″ E), B — quarry No. 1 (56°04′15.5″ N, 93°09′58.8″ E)
FIGURE 6. Macrobdella ditetra Moore, 1953 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 6. Macrobdella ditetra Moore, 1953 (CASIZ 224103) feeding on Lithobates sphenocephalus (Cope, 1886); arrows point to the leech.
FIGURE 4 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 4. Unusual overlapping annuli (annuli 48–49) observed on one specimen of Macrobdella sestertia (ChM IO7).
FIGURE 2. Macrobdella sestertia Whitman, 1886 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 2. Macrobdella sestertia Whitman, 1886 from Sleepy Creek, Edgefield Co., South Carolina (CASIZ 224101). Specimens were photographed alive on 1 August 2008.
FIGURE 3 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 3. Distribution of Macrobdella sestertia Whitman, 1886 in Edgefield Co., South Carolina, USA.
FIGURE 8 in Range Extension for the Elusive New England Medicinal Leech, Macrobdella sestertia Whitman, 1886 (Hirudinida: Macrobdellidae), in South Carolina, U.S.A., with Notes on Morphology, Coloration, and Biology
FIGURE 8. Field notes for Macrobdella collections at Northwood Lake (aka Suncook Pond), Rockingham Co., New Hampshire on 3 June 1938 by Reeve M. Bailey and James A. Oliver. Courtesy of Fish Division, University of Michigan Museum of Zoology (UMMZ).
Geographical distribution of the Mediterranean mussel Mytilus galloprovincialis Lamarck, 1819 in the Sea of Japan. in The extension of the distributional range of an invasive mussel, Mytilus galloprovincialis (Bivalvia: Mytilidae) in the Sea of Japan
Geographical distribution of the Mediterranean mussel Mytilus galloprovincialis Lamarck, 1819 in the Sea of Japan.
ScienceDex guides
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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.