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2,603 results for “Ecological data”
Fig. 8 in New data on the distribution and ecology of Myrmica ravasinii Finzi, 1923 (Hymenoptera, Formicidae)
Fig. 8. Map or distribution of Myrmica ravasinii; dots – formerly known localities, squares – new localities in the North Caucasus (draw by A. Radchenko)
Figs 1 – 7 in New data on the distribution and ecology of Myrmica ravasinii Finzi, 1923 (Hymenoptera, Formicidae)
Figs 1 – 7. Details of structure of Myrmica ravasinii (1-3, worker, syntypes; 4, 5, male) and M. caucasicola (6, 7, male). 1 – head, dorsal view; 2 – antennal scape, lateral view; 3 –antennal scape, dorsal view; 4, 6 – hind tibia and basitarsus; 5, 7 – antennal scape and three basal funicular segments. Scale bars – 1 mm (draw by A. Radchenko).
FIGURE 2A in New data on the taxonomy, ecology, and conservation of the rediscovered Louisea edeaensis (Bott, 1969) (Brachyura: Potamoidea: Potamonautidae), an endangered freshwater crab from Cameroon
FIGURE 2A. Louisea edeaensis (Bott, 1969), adult male, CW 17.5 mm: Lake Ossa, Cameroon (ZMB Crust. 26930). Dorsal view showing color when freshly collected. Scale bar equals 11 mm. The figure 2B is an adult female not presented in the present study.
FIGURE 3 in New data on the taxonomy, ecology, and conservation of the rediscovered Louisea edeaensis (Bott, 1969) (Brachyura: Potamoidea: Potamonautidae), an endangered freshwater crab from Cameroon
FIGURE 3. Louisea edeaensis (Bott, 1969). Lake Ossa, Cameroon, adult male, CW 17.5 mm (ZMB Crust. 26930). A, G1 ventral view; B, G1 dorsal view; C, G2 ventral view. Scale bar equals 3 mm.
FIGURE 1 in New data on the taxonomy, ecology, and conservation of the rediscovered Louisea edeaensis (Bott, 1969) (Brachyura: Potamoidea: Potamonautidae), an endangered freshwater crab from Cameroon
FIGURE 1. Louisea edeaensis (Bott, 1969). Lake Ossa, Cameroon, adult male, CW 17.5 mm (ZMB Crust. 26930). A, right carpus showing the first (top) and second carpal teeth; B, right merus showing the inferior margin with the large distal tooth and the toothed margin; C, third maxillipeds showing vertical groove on ischium and the absence of a flagellum on the exopod; D, left mandible showing the small lobe at the junction of segments. Scale bar equals 3 mm.
FIGURE 2 in The Apseudomorpha (Crustacea: Tanaidacea) of the Gulf of Cadiz and Horseshoe Continental Rise (NE Atlantic): A taxonomic review with new records, species, and ecological data
FIGURE 2. Atlantapseudes curvatus sp. nov. Female paratype DBUA 0002002.01. A, habitus. B, antennule. C, antenna.
Data and codes from: Crossing strategies of ecological barriers are affected by wing morphology and plumage colour in small migratory birds
Open the record for dataset details and reuse information.
Data, Metadata, R-codes and R data files for publication "Comparative ungulate diversity and biomass change with human use and drought: implications for community stability and protected area prioritization in African savannas" by Bartzke et al. in Ecology and Evolution
<p>These files contain data and metadata for modeling ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and a year with normal rainfall, 2002. The files also contain R codes and R data files.</p> <p>Metadata.pdf: Metadata for files "mc_333m.csv" and "mc_1km.csv"</p> <p>mc_333m.csv: A data file for 333-meter-by-333-meter sub-blocks.</p> <p>prepare_data.r: R code to impute missing vegetation records in 333-meter-by-333-meter subblocks and summarize the data over 1-kilometer-by-1-kilometer blocks for analysis.</p> <p>krige_vegetation.RData: An R data file containing the imputed vegetation records.</p> <p>mc_1km.csv: A data file for 1-kilometer-by-1-kilometer blocks for analysis.</p> <p>mc_1km.r: R code for modeling ungulate diversity and biomass; mc_1km_mod.RData: An R data file for loading the ungulate diversity and biomass models.</p> <p>mc_1km.RData: An R data file containing model predictions of ungulate diversity and biomass.</p> <p>mc_1km_plots.r: R code for plotting model predictions of ungulate diversity and biomass.</p> <p>MMNR_boundary.shp: A shapefile of the Maasai Mara National Reserve boundary in Kenya and associated files. These files are used for plotting the predictions of ungulate diversity and biomass.</p> <p>MMNR_border.zip: A shapefile and associated files for the Maasai Mara National Reserve border with Tanzania. These files are also used for plotting predictions of ungulate diversity and biomass.</p>
Data for : Ecological associations distribution modelling of marine plankton at global scale
<p>Git repository : https://gitlab.univ-nantes.fr/combi-ls2n/adm</p>
FIGURES 58–62 in New data on geometroid moths (Lepidoptera: Geometroidea: Uraniidae and Geometridae) from Sakhalin and Moneron islands with notes on their taxonomy distribution and ecology
FIGURES 58–62. Genitalia of Geometridae from Sakhalin. 58—Abraxas niphonibia, 59–60—Acasis exviretata, 61—Trichopteryx hemana, form A, 62—T. hemana, form B. 58, 60— female genitalia, 59, 61, 62—male genitalia (a—genital segment, b—aedeagus). Scale—1 mm.
FIGURES 63–68 in New data on geometroid moths (Lepidoptera: Geometroidea: Uraniidae and Geometridae) from Sakhalin and Moneron islands with notes on their taxonomy distribution and ecology
FIGURES 63–68. Genitalia of Geometridae from Sakhalin. 63—Photoscotosia atrostrigata, 64—Pasiphila chloerata, 65—Eupithecia absinthiata, 66—Idaea foedata, 67—I. imbecilla, 68—I. pallidata. 63, 66—female genitalia, 64, 65, 67, 68—male genitalia (a—genital segment, b—aedeagus, c—8-th abdominal sternum). Scale—1 mm.
FIGURE 1 in New data on geometroid moths (Lepidoptera: Geometroidea: Uraniidae and Geometridae) from Sakhalin and Moneron islands with notes on their taxonomy distribution and ecology
FIGURE 1. Location of the collection places on the map of Sakhalin with the boundaries of administrative divisions. The collection sites are indicated by the red circles, their numbers correspond to their numbers on Tab. 1. Abbreviations of the Administrative divisions of Sakhalin Island: An—Anivskii district, A-S—Alexandrovsk-Sakhalinskii district, Dol—Dolinskii district, Khol—Kholmskii district, Kors—Korsakovskii district, Mak—Makarovskii district, Nev—Nevelskii district, Nog— Noglikskii district, Okh—Okhinskii district, Por—Poronayskii district, Sm—Smirnykhovskii district, Tom—Tomarinskii district, Tym—Tymovskii district, Ug—Uglegorskii district, Y-S—Yuzhno-Sakhalinsk city.
FIGURES 2–21 in New data on geometroid moths (Lepidoptera: Geometroidea: Uraniidae and Geometridae) from Sakhalin and Moneron islands with notes on their taxonomy distribution and ecology
FIGURES 2–21. Epipleminae, Ennominae, Desmobathrinae and Geometrinae from Sakhalin. 2—Dysaethria illotata, ♀, S Kholmsk; 3—D. moza, ♀, Sokhonda mount.; 4—Eversmannia exornata, ♀, Yuzhno-Sakhalinsk; 5—Eilicrinia wehrlii, ♂, "Chertov most", photo in nature by O.L. Titova; 6—Lomographa simplicior, ♂, Sokhonda mount.; 7—Platycerota incertaria, ♂, Pionery, photo in nature by O.L. Titova; 8—Aethalura ignobilis, ♀, S Kholmsk; 9—Gigantalcis flavolinearia, ♂, S Kholmsk; 10—Pachyerannis obliquaria ♂, central Kholmsk, photo in nature by O.L. Titova; 11—Cusiala stipitaria, ♂, S Kholmsk; 12—Larerannis orthogrammaria, ♂, S Kholmsk; 13—Lassaba nikkonis, ♀, S Kholmsk; 14— Zanclidia testacea, ♀, Sokhonda mount.; 15—Abraxas niphonibia, ♀, Moneron (a—upper side; b—underside); 16—Macaria continuaria, ♂, Nysh; 17–18—Alsophila japonensis, S Kholmsk: 17—♂, 18—♀, photo in nature by O.L. Titova; 18—Inurois asahinai, S Kholmsk; 20—Geometra dieckmanni, ♀, S Kholmsk; 21—Comibaena amoenaria, ♂, S Kholmsk. Scale—10 mm.
Trends in elasmobranchs' feeding ecology studies - Data S1
<p>A listed of 599 papers used and fitted the criteria (i.e. feeding studies about elasmobranchs) were reviewed.</p>
Data files for «Wood warbler population dynamics in response to mast seeding regimes in Europe», Journal: Ecology
<p><strong>Abstract</strong></p><p>Mast seeding is the episodic, massive production of plant seeds synchronized over large areas. The resulting superabundance of seeds represents a resource pulse that can profoundly affect animal populations across trophic levels. Following years of high seed production, abundances of both seed consumers and their predators increase. Higher predator abundance leads to increased predation pressure across the trophic web, impacting non-seed consumers such as the wood warbler <i>Phylloscopus sibilatrix</i> through increased nest predation after tree mast years. Over the past 30 years, the frequency of tree seed masts has increased while wood warbler populations have declined in several regions of Europe. We hypothesised that increasing mast frequencies may have contributed to the observed population declines by creating suboptimal breeding conditions in years after masting. We measured reproductive output in four study areas in central Europe, which was between 0.61 and 1.24 fledglings lower in years following masting than non-masting. For each study area, we used matrix population models to predict population trends based on the estimated reproductive output and the local mast frequencies. We then compared the predicted with the observed population trends to assess if the frequency of mast years contributed to the population dynamics. In Wielkopolska National Park (PL) and Hessen (DE), masting occurred on average only every 4 years and populations were stable or nearly so, whereas in Jura (CH) and Białowieża National Park (PL), masting occurred every 2 and 2.5 years, respectively, and populations were declining. The simple matrix population models predicted the relative difference among local population trends over the past 10-20 years well, suggesting that the masting frequency may partly explain regional variation in population trends. Simulations suggest that further increases in mast frequency will lead to further declines in wood warbler populations. We show that changes in a natural process, such as mast seeding, may contribute to the declines of animal populations through cascading effects.</p>
FIGURES 22–57. Larentiinae and Sterrhinae from Sakhalin. 22 in New data on geometroid moths (Lepidoptera: Geometroidea: Uraniidae and Geometridae) from Sakhalin and Moneron islands with notes on their taxonomy distribution and ecology
FIGURES 22–57. Larentiinae and Sterrhinae from Sakhalin. 22—Leptostegna tenerata, ♀, Sokhonda mount.; 23—Tyloptera bella, ♂, Sokhonda mount.; 24—Acasis exviretata, ♀, Yasnomorskoe; 25—A. viretata, ♀, Yasnomorskoe; 26—Trichopteryx carpinata, ♀, Novoaleksandrovsk; 27—T. fastuosa, ♀, S Kholmsk; 28–29—T. hemana, S Kholmsk: 28—♂, 29—♀; 30—T. terranea, ♂, Novoaleksandrovsk; 31—Xanthorhoe hortensiaria, ♂, S Kholmsk; 32—Photoscotosia atrostrigata, ♀, S Kholmsk (a—upper side; b—underside); 33—Idiotephria evanescens, ♂, S Kholmsk; 34—Pennithera comis, ♀, S Kholmsk; 35—Eulithis achatinellaria, ♂, Krasnaya Tym; 36—E. testata, ♂, Sakhalin, Okhinskii district, 40 km S of Neftegorsk, near Nutovo mountain, ~ 52º37ʹ N 143º07ʹ E, 30.VIII.2000, A.V. Propletkin legit.; 37—Gandaritis evanescens, ♂, Sokhonda mount.; 38—G. pyraliata, ♂, S Kholmsk; 39—G. whitelyi, ♂, Sokhonda mount.; 40—Ecliptopera capitata capitulata, ♀, Yasnomorskoe; 41—E. pryeri, ♂, S Kholmsk; 42—E. silaceata leuca, ♂, Yasnomorskoe; 43—Dysstroma citrata, ♂, S Kholmsk; 44—Lampropteryx minna, ♀, S Kholmsk; 45—Operophtera peninsularis, ♂, Leonidovo; 46—Laciniodes denigrata, ♂, Yasnomorskoe; 47—Hydrelia shioyana, ♀, Kholmsk; 48—Venusia phasma, ♂, S Kholmsk; 49—V. semistrigata, ♀, S Kholmsk; 50—Perizoma alchemillata, ♂, S Kholmsk; 51—Gymnoscelis esakii, ♂, S Kholmsk, photo in nature by O.L. Titova; 52—Pasiphila chloerata, ♂, Yasnomorskoe; 53—Eupithecia absinthiata, ♂, Yuzhno-Sakhalinsk; 54—Idaea foedata, ♀, Razdolnoe; 55—I. imbecilla, ♂, Yasnomorskoe; 56—I. pallidata, ♂, Tymovskoe; 57—Timandra rectistrigaria, ♂, Zhitnitsa river. Scale—10 mm.
Data from: Improper data practices erode the quality of global ecological databases and impede the progress of ecological research
<p>The scientific community has entered an era of big data. However, with big data comes big responsibilities, and best practices for how data are contributed to databases have not kept pace with the collection, aggregation, and analysis of big data. Here, we rigorously assess the quantity of data for specific leaf area (SLA) available within the largest and most frequently used global plant trait database, the TRY Plant Trait Database, exploring how much of the data were <em>applicable </em>(i.e., original, representative, logical, and comparable) and <em>traceable </em>(i.e., published, cited, and consistent). Over three-quarters of the SLA data in TRY either lacked applicability or traceability, leaving only 22.9% of the original data usable compared to the 64.9% typically deemed usable by standard data cleaning protocols. The remaining usable data differed markedly from the original for many species, which led to altered interpretation of ecological analyses. Though the data we consider here make up only 4.5% of SLA data within TRY, similar issues of <em>applicability </em>and <em>traceability </em>likely apply to SLA data for other species as well as other commonly measured, uploaded, and downloaded plant traits. We end with suggested steps forward for global ecological databases, including suggestions for both uploaders to and curators of databases with the hope that, through addressing the issues raised here, we can increase data quality and integrity within the ecological community.</p>
Data from: coexistence across space and time: social-ecological patterns within a decade of human-coyote interactions in San Francisco
<p><span>Global change is increasing the frequency and severity of human-wildlife interactions by pushing people and wildlife into increasingly resource-limited shared spaces. To understand the dynamics of human-wildlife interactions, and what may constitute human-wildlife coexistence in the Anthropocene, there is a critical need to explore the spatial, temporal, sociocultural, and ecological variables that contribute to human-wildlife conflicts in urban areas.</span></p> <p><span>Due to their opportunistic foraging and behavioral flexibility, coyotes (<em>Canis latrans</em>) frequently interact with people in urban environments. San Francisco, California, USA hosts a very high density of coyotes, making it an excellent region for analyzing urban human-coyote interactions and attitudes toward coyotes over time and space.</span></p> <p><span>We used a community-curated long-term data source from San Francisco Animal Care and Control to summarize a decade of coyote sightings and human-coyote interactions in San Francisco and to characterize spatiotemporal patterns of attitudes and interaction types in relation to housing density, socioeconomics, pollution and human vulnerability metrics, and green space availability.</span></p> <p><span>We found that human-coyote conflict reports have been significantly increasing over the past 5 years and that there were more conflicts during the coyote pup-rearing season (April-June), the dry season (June-September), and the COVID-19 pandemic. Conflict reports were also more likely to involve dogs and occur inside of parks, despite more overall sightings occurring outside of parks. Generalized linear mixed models revealed that conflicts were more likely to occur in places with higher vegetation greenness and median income. Meanwhile reported coyote boldness, hazing, and human attitudes toward coyotes were also correlated with pollution burden and human population vulnerability indices.</span></p> <p><span><em>Synthesis and applications</em>: </span><span>Our results provide compelling evidence suggesting that human-coyote conflicts are intimately associated with social-ecological heterogeneities and time, emphasizing that the road to coexistence will require socially-informed strategies. Additional long-term research articulating how the social-ecological drivers of conflict (e.g., human food subsidies, interactions with domestic species, climate-induced droughts, socioeconomic disparities, etc.) change over time will be essential in building adaptive management efforts that effectively mitigate future conflicts from occurring. </span></p>
Data from: Redesign of a life cycle figure improves student conceptions of ecology and evolution
<p>Life cycle diagrams communicate the developmental life stages of an organism. Design choices may inadvertently communicate additional information about survivorship rates, genetic variation, and microevolutionary change. In this controlled experiment, we randomly assigned one of three life cycle diagrams to 684 college students. Each figure included identical life stages of a fictitious organism's development but differed in 1) number of offspring (single or multiple) and 2) layout (cyclical or linear). Each participant could reference the figure when answering questions about organism survival, variation among offspring, and variation between generations. Students scored 21–37% higher on questions about survivorship when the available diagram included multiple offspring. Students scored 19–30% higher on questions about microevolution when the diagram layout was linear. Overall, students who received the figure with a linear layout and multiple offspring earned the highest average score (54.5%, or 3.3 of 6 questions) on the assessment, while students with the traditional figure (cyclical layout with single offspring) scored the lowest average (26.1%, or 1.6 of 6 questions). These results suggest that figure design affects student interpretations and may assist student learning about ecology and evolution concepts and common misconceptions.</p>
Data and code for: A sensory ecology of fear: Eye size predicts moonlight avoidance responses in Neotropical electric fishes
<p>Data in support of: Eye size predicts moonlight avoidance responses in Neotropical electric fishes</p>
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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.
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.