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Figure 4 in Invertebrate communities, sediment parameters and food availability of intertidal soft-sediment ecosystems on the north coast of British Columbia, Canada
Figure 4. Non-metric multidimensional scaling (nMDS) plots of (a) sediment parameters (depth to the aRPD [apparent redox potential discontinuity], water content, particle size, penetrability, % macrophyte coverage, and % wood cover) by site and round and (b) the food availability (chlorophyll a and organic matter content) at three intertidal mudflats on the north coast of British Columbia, Canada during the summer of 2017. Vector overlays for sediment and food variables show the correlation between variables and nMDS axes, with each vector showing the direction of increased value. CC: Cassiar Cannery. TB: Tyee Banks. WC: Wolfe Cove. Round A: 23 May–1 June. Round B: 21–26 June. Round C: 19–25 July. Round D: 18–24 August.
FIGURE 1 in On the available names for the northern and eastern South American subspecies of Puma concolor (Linnaeus, 1771) (Mammalia: Felidae) and their type localities
FIGURE 1. Xylography of Marcgrave's cuguaçuarâna: (A) black and white (obtained from Biodiversity Heritage Library) and (B) colored versions (obtained from Biblioteca Digital Curt Nimuendajú). (C) Painting of Eckhout's cuguaçûarâna (obtained from Teixeira, 1995), regarded as part of the lectotype, along with the description, of P. c. concolor by Husson (1978). (D) Reproduction of the Felis discolor Schreber, 1777 plate (obtained from Biodiversity Heritage Library), regarded as part the lectopype of P. c. discolor by Husson (1978).
FIGURE 4 in The taxonomic status of Oligoryzomys brendae Massoia, 1998 (Rodentia, Cricetidae), with comments on the availability of this name
FIGURE 4. Dorsal (a) and ventral (b) external views of the holotype (CEM 482, at the right) and paratype (CEM 483, at the left) of Oligoryzomys brendae.
FIGURE 1 in The taxonomic status of Oligoryzomys brendae Massoia, 1998 (Rodentia, Cricetidae), with comments on the availability of this name
FIGURE 1. Maximum likelihood tree (ln = -6500.1432) resulting from the analysis of cytochrome b gene sequences of Oligoryzomys species. Numbers indicate bootstrap values of the adjacent node retrieved in the maximum likelihood (left to the diagonal) and maximum parsimony (right to the diagonal) analyses. A less-than sign (<) indicates that the given clade receives less than 50 % of Bootstrap either in the ML and/or MP analyses. A dash (-) indicates that in the MP analysis that clade was not recovered. GenBank accession numbers of analyzed sequences are included at terminal labels; in addition, specimen numbers are provided for O. brendae.
FIGURE 3 in The taxonomic status of Oligoryzomys brendae Massoia, 1998 (Rodentia, Cricetidae), with comments on the availability of this name
FIGURE 3. Dorsal, ventral and lateral views of the skull and labial view of the mandible of two specimens of Oligoryzomys brendae (a, holotype, CEM 482; b, JPJ 622). Scale = 10 mm.
FIGURE 2 in The taxonomic status of Oligoryzomys brendae Massoia, 1998 (Rodentia, Cricetidae), with comments on the availability of this name
FIGURE 2. Specimen scores of individuals of Oligoryzomys (age class 2) for principal components 1 and 2 extracted from a variance-covariance matrix of 12 craniodental distances (see Table 1). Symbols are: squares = O. brendae; circles: O. flavescens. Abreviations: h = holotype of O. brendae (CEM 482); p = paratype of O. brendae (CEM 482).
FIGURE 5 in The taxonomic status of Oligoryzomys brendae Massoia, 1998 (Rodentia, Cricetidae), with comments on the availability of this name
FIGURE 5. Left: partial map of northwestern Argentina where collection localities of specimens of Oligoryzomys brendae included in the phylogenetic analysis are shown (circles). Right: partial map of South America showing the distribution of Oligoryzomys destructor as understood previously to this study (see text); squares correspond to collection localities of individuals associated to O. destructor and of O. brendae used in the phylogenetic analysis; stars signal the type localities of taxa associated to destructor (i.e., spodirus, maranonicus, stolzmanni, melanostoma, and destructor) and of O. brendae. A simplified version of the most likely tree (see Fig. 1) is superimposed in the map; the only branches signalling recording localities (indicated with squares) are those leading to destructor and brendae.
FIGURES 33–35. Othelosoma lineaenigrum. Fig. 33. Holotype, living specimen. Scale bar not available. Fig. 34 in Land flatworms (Platyhelminthes, Geoplanidae) of São Tomé: a first account on their diversity, with the description of five new species
FIGURES 33–35. Othelosoma lineaenigrum. Fig. 33. Holotype, living specimen. Scale bar not available. Fig. 34. Holotype, sagittal reconstruction of the pharynx; anterior to the left. Fig. 35. Holotype, sagittal section through pre-pharyngeal part of the body, showing the location of the testes.
Data from: Fine root presence and increased phosphorus availability stimulate wood decay in a Central Amazonian rainforest
<p>In the Amazon basin, approximately 60% of rainforest thrives on geologically old and highly weathered soils, thus decomposition represents an important mechanism for recycling nutrients from organic matter. Although dead logs and branches constitute up to 14% of the carbon stored in terrestrial ecosystems, woody debris decomposition and mainly the effect of direct nutrient cycling by plant root interaction is poorly studied and often overlooked in ecosystem carbon and nutrient budgets. Here we monitored the decomposition of five different local woody species covering a range of wood density by conducting a long-term wood decomposition experiment over two years with factorial root presence and phosphorous (P) addition treatments in a Central Amazonian rainforest. We hypothesized that woody debris decomposition is accelerated by colonizing fine roots mining for nutrients, possibly strongly affecting wood debris with lower density and higher nutrient concentration (P). We found that root colonization and P addition separately increased wood decay rates, and although fine root colonization increased when P was added, this did not result in a change in wood decay. Nutrient loss from wood was accelerated by P addition, whereas a root presence effect on nutrient mobilization was only detectable at the end of the experiment. Our results highlight the role of fine roots in priming wood decay, although direct nutrient acquisition by plants seems to only occur in more advanced stages of decomposition. On the other hand, the positive effect of P addition may indicate that microbial nutrient mobilization in woody material is driven mainly by wood stoichiometry rather than priming by root activity.</p>
The Available dataset of paper - A Holistic Approach to Automatic Mixed-Precision Code Generation and Tuning for Affine Programs
<p>Here are all publicly available datasets for the paper: A Holistic Approach to Automatic Mixed-Precision Code Generation and Tuning for Affine Programs.</p>
Data for: Demography and movement patterns of a freshwater ciliate: The influence of oxygen availability
<p>This dataset supports the findings of the study 'Demography and movement patterns of a freshwater ciliate: the influence of oxygen availability', published in <em>Ecology and Evolution </em>(https://doi.org/10.1002/ece3.11291)</p> <p>Version update: amendments were made to the code following a major revision. Data files were added for the 2024 'oxygen renewal' and 'agitation' trials.</p>
Data from: Disentangling the dynamics among climate, food availability, and reproduction in a pair-living, monogamous primate
<p>We examined the hypothesis that pair-living, monogamous social systems evolved in environments with evenly distributed food resources, a homogenous distribution of females in space prevents males from monopolizing more than one female. Our study investigated the interplay between climatic variables (ambient temperature, rainfall), food availability (forest structure, phenology data), and infant production in a pair-living monogamous owl monkey population (322 births, 21 years, 22 groups) in the humid Chaco of Argentina. Associations between climatology and fruit availability ranged from -0.29 to 0.38, and some extreme events negatively impacted fruit availability. Variation in fruit availability was higher among years than territories, whereas infant production varied more among territories than it did across years. Our study makes specific contributions to examining the hypothetical "homogeneity" in the temporal and spatial distribution of food available to a pair-living monogamous primate and how such variation relates to infant production in the population.</p>
A hemoprotein with a zinc-mirror heme site ties heme availability to carbon metabolism in cyanobacteria- MD simulation files
<p>This folder contains the first and last frame of MD simulations conducted in this study. </p> <p>The Free-MD folder contains unconstrained MD simulation files for Dri1 (WT) and its variants (H16A, H21A, H79A, H16A:H21A, H16A:H79A, H21A:H79A and H79A:R90A)</p> <p>The SAXS-dirven MD folder contains SAXS data constrained MD simulation files for Dri1 WT, Dri1 H21A and Dri H79A:R90A with 3 different starting structures for variants. </p>
[Data availability]Safety climate in the operating room in the pre-pandemic and pandemic period of COVID-19: A mixed method study
<p>Disponibilidade dos dados analisados no estudo Safety climate in the operating room in the pre-pandemic and pandemic period of COVID-19: A mixed method study.</p>
Experimental data for "The interaction between plastics and microalgae affects community assembly and nutrient availability"
<p>Dataset of the experimental data obtained for the study “The interaction between microplastics and microalgae affects community assembling and nutrient availability” (published on Communications Earth and Environment, DOI: 10.1038/s43247-024-01706-y). This include 5 different tabular files, which are listed below:</p> <p><strong>Algae growth</strong> Values of chlorophyll fluorescence (as a proxy of algal biomass growth, in arbitrary units) in all treatments between days 1 and 17 of the experiment in the 4 different replicates (shown as different columns).</p> <p><strong>Biofilm growth on plastic</strong> Measures of biofilm coverage (in % of plastic fragment's surface) via image analysis after optical microscopy and chlorophyll fluorescence via spectroscopy (after the analysis of 3 replicates per batch, relative standard deviation below 20%). Data at day 0 indicate the fragments before the incubation with the pelagic community. Data are shown for each treatment containing plastic (i.e., <em>plastic</em>, <em>biofilm</em> and <em>dispersal</em>).</p> <p><strong>Nutrient concentrations</strong> Nutrient concentration in every replicate at different days from the beginning of the experiment. Data are average values after three measure replicates (relative standard deviation below 5%). Data below LODs are shown as LOD/2.</p> <p><strong>Pelagic community composition </strong>Counting values of the different algal species from optical microscopy measurement of all treatments after 5, 8 and 15 days (average values after 3 replicates of measures (relative standard deviation below 25%). The inoculum of the pelagic community before the beginning of the experiment is also included. Species not present in the community or not detected are shown as ND.</p> <p><strong>Photosynthetic efficiency </strong>Values of photosynthetic efficiency (measured with pulse-amplitude-modulated fluorescence) in all treatments at day 5, 8 and 15 of the experiment in the 4 different replicates (shown as different columns).</p>
Resource availability and heterogeneity shape the self‐organisation of regular spatial patterning
<p>Explaining large-scale ordered patterns and their effects on ecosystem functioning is a fundamental and controversial challenge in ecology. Here, we coupled empirical and theoretical approaches to explore how competition and spatial heterogeneity govern the regularity of colony dispersion in fungus-farming termites. Individuals from different colonies fought fiercely, and inter-nest distances were greater when nests were large and resources scarce—as expected if competition is strong, large colonies require more resources, and foraging area scales with resource availability. Building these principles into a model of inter-colony competition showed that highly ordered patterns emerged under high resource availability and low resource heterogeneity. Analysis of this dynamical model provided novel insights into the mechanisms that modulate pattern regularity and the emergent effects of these patterns on system-wide productivity. Our results show how environmental context shapes pattern formation by social-insect ecosystem engineers, which offers one explanation for the marked variability observed across ecosystems.</p>
Public availability of research data in General and Internal Medicine journals
<p>Metrics and Journals including supplementary material classification sorted by quartile of the JCR “Medicine, General & Internal” category (2019 Science Citation Index Edition)</p>
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.
Data from: Topography in tropical forests enhances growth and survival differences within and among species via water availability and biotic interactions
<p class="Cuerpo">Topography is associated with variation in soil water, biogeochemical properties and climate, which drive diversity by filtering species and promoting niche differences. However, the potential for topography to promote fitness differences and diversity among tree species and populations remains poorly tested in tropical rainforests, especially at small spatial scales in everwet climates.</p> <p class="Cuerpo">We reciprocally transplanted tree seedlings between ridge and riparian sites and manipulated neighbour abundance and water availability to assess growth and survival differences both among species and between populations within species in response to changes in biotic interactions and soil water gradients associated with topographic heterogeneity.</p> <p class="Cuerpo">Seedling growth rates were higher on the ridge, but probability of survival was lower on the ridge than the riparian site. Topography also altered growth and survival responses to water availability such that seedlings in the inundated soils in the riparian site had the lowest growth and survival but increased rapidly with moderate soil drying. By contrast, growth and survival on the ridge were generally unresponsive to drying, although severe drought on the ridge reinforced differences among species in growth rates and probability of survival.</p> <p class="Cuerpo">The patterns of growth and survival within species did not provide evidence of local adaptation between seedlings from lowland and upslope origins. However, within species, topographic seed-origin determined the response of seedling growth and survival to increasing neighbour abundance, indicative of divergent selective pressures between individuals growing in different topographic environments.</p> <p class="Cuerpo">Combined, these results suggest that topographic heterogeneity promotes tropical forest diversity both at the species level via environmental filtering due to water availability and at the population level via functional responses to the density of neighbouring vegetation.</p>
Data from: Elevational distribution of birds in an Eastern African montane environment as governed by temperature, precipitation, and habitat availability
<p>We conducted annual point counts of birds between 2013 and 2018 at 297 plots across habitats and elevations (2,416-4,303 m) in Volcanoes National Park, Rwanda. These data were subsequently used to determine elevational and habitat preferences via indicator analyses, and to model abundance distributions as a function of temperature, precipitation, habitat availability, and congeneric competition. Of 35 focal species, we found 20 species to be particularly associated with narrow elevational range (<300 m) and 24 species to have a strong associated with one to three habitat types. Abiotic conditions, estimated for each plot location, significantly correlated with the abundance distributions of 33 species (temperature 33, precipitation 17), and biotic factors with distributions of 31 species (habitat 30, competition 7). Temperature and habitat availability were particularly associated with upper elevational limits (31 and 26 species respectively vs. 10 and 6 at lower limits), whereas precipitation affected both limits similarly (17 lower, 16 upper), and competition had a limited role at either limit (4 lower, 3 upper). That the elevational distribution of Afromontane birds results from a species-specific combination of biotic and abiotic factors is crucial information in our effort to predict climate change effects in this region.</p>
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.