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670 results for “Influence factors”

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zenodo32/100

Figure 5 in Evolution of molar shape in didelphid marsupials (Marsupialia: Didelphidae): analysis of the influence of ecological factors and phylogenetic legacy

Figure 5. Third upper molar (M3) shape variation along the first two principal components (PC) from the PCA of the Procrustes coordinates, showing the distribution of taxonomic groups. Deformation grids show the extreme shape of each PC.

opennotspecifiedDec 2014View details →
zenodo32/100

Figure 2 in Evolution of molar shape in didelphid marsupials (Marsupialia: Didelphidae): analysis of the influence of ecological factors and phylogenetic legacy

Figure 2. First lower molar (m1) shape variation along the first two principal components (PC) from the PCA of the Procrustes coordinates, showing the distribution of taxonomic groups. Deformation grids show the extreme shape of each PC.

opennotspecifiedDec 2014View details →
zenodo32/100

Figure 8. Phylogeny showing a in Evolution of molar shape in didelphid marsupials (Marsupialia: Didelphidae): analysis of the influence of ecological factors and phylogenetic legacy

Figure 8. Phylogeny showing a summary of the optimization for the third upper molar (M3). Numbers on the branches indicate node number. Taxon names and nodes in bold indicate the optimizations being shown. Deformation grids show the changes with respect to the previous node.

opennotspecifiedDec 2014View details →
dryad32/100

Abiotic factors influence species co‐occurrence patterns of lake fishes

<p>This dataset contains the identity of the lakes used for the analyses performed in the paper: Cordero, R., &amp; Jackson, D. (2021). Abiotic factors influence species co‐occurrence patterns of lake fishes. <i>Journal of Animal Ecology</i>. doi:10.1111/1365-2656.13587".</p> <p>This study analyzed the effect of habitat size (i.e., lake area and depth) on the pattern of co-occurrence of multiple fish species in lakes from two different regions, western and central, in Ontario, Canada.</p> <p>The main results of this study were that area and depth showed a significant influence across all the species co-occurrence patterns, in both regions. However, when analyzing groups of species involved in biotic interactions like predator-prey or species sharing similar habitat requirements, we found significant results only for lake area in the central region, which suggests a context-dependency on factors linked with region.</p> <p>Our results demonstrate the effect of environmental variables on species co-occurrence patterns, but the divergent results obtained between geographic regions suggest that such patterns are context-dependent. This study emphasizes the importance of considering abiotic factors in null models of species co-occurrence to obtain reliable and detailed information about the association patterns between species.</p>

opencc-zeroSep 2021View details →
dryad32/100

Assessing the influence of organizational factors on knowledge sharing in inter-firm collaborations

<p><span>Collaborations between media organisations are becoming an increasingly common practice in the field of journalism. Academic research, so far, mostly focused on large-scale investigations and communities of digital outlets, such as fact-checkers networks. However, new types of inter-firm partnerships are emerging, namely between legacy media and tech startups, towards media innovation and digital transformation. The paper to which this database is connected aims to advance the theoretical understanding of the relationship between collaborations and media innovation. We formulate an original analytical model to assess the influence of organisational factors of collaborations on knowledge sharing, a key condition for explorative innovation. Based on the experience of the Stars4Media programme, we present an empirical application of the analytical model (based on this data-set) to a case study of thirty collaborative projects involving seventy-six European media companies.</span></p>

opencc-zeroFeb 2023View details →
zenodo32/100

FIG. 3 in Influence of Environmental Factors on Short-Term Movements of Butter Frogs (Leptodactŋlus latrans)

FIG. 3.—Particularly long-distance movements of individuals of Leptodactŋlus latrans at Agronomic Experimental Station of the Federal University of Rio Grande do Sul, Brazil. Arrows indicate the direction of the movements. When their temporary pond dried up, Frogs 3 and 5 moved to different marshy areas, and Frog 4 moved to a permanent pond. Frogs 10 and 19 moved from the same temporary pond to the same small stream. Frog 10 subsequently returned to the original temporary pond, whereas Frog 19 moved to a new permanent pond. Frogs 12 and 15 moved relatively long distances (37.6 and 31.3 m, respectively) from the same shallow area (&lt;0.5 m) to deeper areas (1.0–1.5 m in depth) of the pond on the same night. Both frogs remained in the deeper areas for 15 d, showing little or no movement (&lt;2 m). On another night, Frogs 12 and 15 moved 35.1 and 43.5 m, respectively, from the deeper areas to shallow areas. A color version of this figure is available online.

opennotspecifiedMar 2019View details →
zenodo32/100

FIG. 2 in Influence of Environmental Factors on Short-Term Movements of Butter Frogs (Leptodactŋlus latrans)

FIG. 2.—The eight lunar phases considered in this study and the assignment of days since new moon and days from the nearest new moon. Adapted from Grant et al. (2009).

opennotspecifiedMar 2019View details →
zenodo32/100

FIG. 1 in Influence of Environmental Factors on Short-Term Movements of Butter Frogs (Leptodactŋlus latrans)

FIG. 1.—Example of Leptodactŋlus latrans habitat at the Agronomic Experimental Station of the Federal University of Rio Grande do Sul, Brazil. The surveyed wetlands were each surrounded by pasture and underbrush matrices and all sited in a former Atlantic Forest area. A color version of this figure is available online.

opennotspecifiedMar 2019View details →
zenodo32/100

FIG. 4 in Influence of Environmental Factors on Short-Term Movements of Butter Frogs (Leptodactŋlus latrans)

FIG. 4.—Mean displacement by individuals of Leptodactŋlus latrans during each lunar phase at the Agronomic Experimental Station of the Federal University of Rio Grande do Sul, Brazil. Each bar corresponds to a lunar phase, and bar length indicates the mean displacement of frogs (m). The new moon is positioned on the top of the figure, and the full moon is positioned at the bottom (additional details in Fig. 2).

opennotspecifiedMar 2019View details →
zenodo32/100

FIG. 1 in Factors Influencing Anuran Wetland Occupancy in an Agricultural Landscape

FIG. 1.—Site map: (a) depicts Iowa̕s location within the United States (indicated by gray shading), (b) depicts the location of counties where the study took place within Iowa (indicated by gray shading), and (c) depicts the locations of the 27 wetland study sites with land cover information. This map was created using ArcGIS (v.10.5.1; ESRI 2018).

opennotspecifiedMar 2019View details →
dryad32/100

Data from: Influence of abiotic and biotic factors on benthic marine community composition, structure and stability: a multidisciplinary approach to molluscan assemblages from the Miocene of northern Germany

<p><span>The Miocene mica-clay deposits of Groß Pampau (northern Germany) are well known for their diverse assemblages of marine mammals, particularly whales. Despite numerous systematic and biostratigraphic studies, an in-depth palaeoecological analysis of its diverse molluscan assemblages and a comprehensive palaeoenvironmental reconstruction are lacking. Here, we integrated new faunal, sedimentological, and geochemical data to reconstruct the marine palaeo-ecosystem of the late Miocene sedimentary succession of Groß Pampau, and to identify the drivers controlling the composition, ecological structure and temporal dynamics of its macrobenthic molluscan assemblages. Fossil evidence, coupled with analyses of clay mineral composition, grain size distribution, and geochemical data (total organic carbon, total nitrogen, δ<sup>13</sup>C, δ<sup>18</sup>O, δ<sup>15</sup>N of sediment and shells), suggest a warm-temperate, mesotrophic, low-energy, offshore marine setting mostly below storm wave base and a pronounced surface-to-bottom water temperature gradient. Low variability in sedimentological and geochemical signals indicates generally stable physico-chemical conditions, whereas occurrences of opportunistic species (<em>Varicorbula</em> <em>gibba</em>) point at </span><span>occasionally less favourable bottom conditions, possibly related to transient hypoxia</span><span>. Canonical correspondence analysis reveals that the distribution of molluscan assemblages correlates with total organic carbon and nitrogen content, suggesting organic matter availability at the seafloor as a controlling factor. A pattern of repetitive punctuated stasis of molluscan assemblages is defined by the temporal persistence in taxonomic and ecological composition, occasionally interrupted by shifts to a different faunal configuration. We suggest that both stable environmental conditions and biotic interactions, i.e. the top-down control exerted by carnivorous gastropods and environmental modification by ubiquitous burrowing deposit feeders, probably contributed to the observed temporal stability. Whereas comparison with Miocene molluscan assemblages of Gram, Denmark, revealed differences in the presence and relative abundance of genera, functional congruence indicates that offshore benthic ecosystems of the southern North Sea Basin functioned similarly.</span></p>

opencc-zeroJun 2023View details →
dryad32/100

Factors influencing distribution of the endangered Hispid hare in Babai valley, Bardiya National Park, Nepal

<p>The hispid hare, <span><em>Caprolagus</em> <em>hispidus</em></span>, is an endangered elusive mammal that dwells in the tall grassland of the Himalayan foothills across Nepal, India, Bhutan, and Bangladesh. The species has faced serious threats from anthropogenic activity and seasonal flooding in the various protected areas, leading to population decline. Most work on the species has been conducted in the grasslands of Shuklaphanta National Park, but only one study has been conducted in Bardia National Park over the past decade. Here, we aim to evaluate current distribution pattern of the hispid hare in the Babai Valley of Bardia National Park, identify the environmental factors that influenced distribution, and assess existing threats to the species. <span>We conducted a field survey in December 2020 before grassland burn and May-June 2021, after a grassland burn. A total of 428 transects (50 m * 2 m) in a 1 km x 1 km grid were conducted across 1048.55 hectares of grassland in the valley. Hispid hare pellets were recorded in the grassland of Kalinara, Guthi, Sano Shree Phanta, Chitaale Phanta, Ratomate, Rhino Release Site (Babai), and Mulghat (Chepang) in Bardia National Park. The distribution pattern of the pellets was found to be clumped in the Babai Valley. We recorded higher pellet density post-grassland burn than the pre-burn, which indicated higher population density in summer in comparison to winter. The best-fit model suggested that </span>grass density, grassland burning, and annual precipitation have influenced the distribution of hispid hare. <span>Results suggest the species prefers the riverbank in winter but short grassland in summer, while the forest and edge between the grassland and forest were avoided. The grassland patches in Babai (preferred hispid hare habitat) comprised 14 grass species in Babai dominated by <em>Imperata</em> <em>cylindrica</em>, <em>Schharum</em> <em>spontaneum</em>, and <em>Cynodon</em> <em>doctylon</em>. Seasonal grassland burn, summer flood, invasive species, vegetation succession, and predators were major threats in the field. Our findings can help park officials in the management and restoration of degraded grassland of the park and guide the developing management and species action plan. We recommend conservation efforts focus on protecting and managing grasslands that provide suitable habitat for the hispid hare.</span></p>

opencc-zeroJul 2023View details →
zenodo32/100

Factors Influencing Telehealth Adoption among Consumers in Malaysia

<p>This study investigates if effort expectancy, performance expectancy, computer self-efficacy, and trust influence the intention to use telehealth in Malaysia. The research proposes an extension from previous Technology Adoption Model studies, especially the Unified Hypothesis of Acceptance and Use of Technology (UTAUT), by including factors in the field of interest from the researcher.&nbsp;</p>

opencc-by-4.0Aug 2023View details →
zenodo32/100

Unlocking the genomes of formalin-fixed freshwater fish specimens: An assessment of factors influencing DNA extraction quantity and quality

<p>DNA quality and quantity metrics (Microsoft Excel worksheet with 3 sheets, one per species).</p> <p>We compared two protocols developed to extract DNA from formalin-fixed tissues using specimens of three freshwater fishes: Southern Brook Lamprey&nbsp;<em>Ichthyomyzon gagei</em>, Slimy Sculpin&nbsp;<em>Cottus cognatus</em>, and Brown Trout&nbsp;<em>Salmo trutta</em>. Extractions were attempted using hot alkali digestion with and without buffer wash pretreatments to compare the DNA concentration, purity, and fragment length of DNA recovered between extraction protocols, tissue types (muscle and caudal fin tissue for Brown Trout and Slimy Sculpin), and preservation periods (5 or 7 years for Southern Brook Lamprey).</p> <p>Four metrics were collected: DNA quantity (measured using Qubit 3.0 instrument with dsDNA high sensitivity kit); DNA purity measured by A260/A280 ratio (measured using NanoDrop 2000 spectrophotometer); DNA purity measured by A260/A230 ratio (measured using NanoDrop 2000 spectrophotometer); and percent fragments &gt;= 300 base pairs (measured using ImageJ). For spectrophotometric absorbance ratios, an A260/A280 ratio of 1.8 and an A260/ A230 ratio of 2.0 were considered to represent &ldquo;pure&rdquo; DNA (i.e., free of contaminants). For analyses of DNA purity, deviations from 1.8 for the A260/A280 ratio and from 2.0 for the A260/A230 ratio were used as the response variables, such that larger deviation values corresponded to less-pure DNA.</p> <p>Please see attached README.md file for additional information.</p>

opencc-by-3.0-usJul 2023View details →
ClinicalTrials.gov32/100

Influence of Risk Factors on ISR and Nonintervened Lesions

ClinicalTrials.gov study NCT06039059. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Analysis of the Factors Influencing the Occurrence of Peri-implant Inflammation in Patients With Oral Implant Repair and Study on the Maintenance Effect of Subgingival Sandblasting

ClinicalTrials.gov study NCT06998160. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Physiological Factors That Influence Maintenance of Lifestyle Changes and Weight Loss - a Longitudinal Study

ClinicalTrials.gov study NCT01997060. IPD Sharing: Not stated. Countries: 1. Publications: 8.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Eating Difficulties in HNC Patients - Influencing Factors and Short and Long Term Impacts on PF and Depression

ClinicalTrials.gov study NCT03883152. IPD Sharing: NO. Countries: 1. Publications: 19.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Influencing Factors in Patients With Colorectal and Gastric Polyps a Retrospective Study

ClinicalTrials.gov study NCT04444947. IPD Sharing: UNDECIDED. Countries: 1. Publications: 4.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov32/100

Investigation and Analysis of the NIS Protection Level and Influencing Factors of Clinical Nurses

ClinicalTrials.gov study NCT06733779. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record