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701 results for “distribution patterns”
Figure 3 in Soil BON Earthworm - A global initiative on earthworm distribution, traits, and spatiotemporal diversity patterns
Figure 3. Global distribution of Oligochaeta observations on iNaturalist (assessed on the 16th of November 2023) and longitudinal and latitudinal distribution.
Fig. 2 in Parasite species co-occurrence patterns on Peromyscus: Joint species distribution modelling
Fig. 2. Results of variance partitioning for variation in ectoparasite prevalence explained by fixed and random effects for each ectoparasite species (columns). Explained variance presented for the constrained model for deer mice (n = 229 individuals). DM, deer mice; RBV, southern red-backed vole; WJM, woodland jumping mouse; PA, population abundance. Population abundance of small mammal species measured as captures per 100 trap nights. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4 in Population Estimates And Distribution Patterns Of Irrawaddy Dolphins (Orcaella Brevirostris) And Indo-Pacific Finless Porpoises (Neophocaena Phocaenoides) In The Kuching Bay, Sarawak
Fig. 4. Mapping of selected re-sighted Irrawaddy dolphins represented by photographs of the right sides of their dorsal fins in the Kuching Bay area.
Fig. 3 in Population Estimates And Distribution Patterns Of Irrawaddy Dolphins (Orcaella Brevirostris) And Indo-Pacific Finless Porpoises (Neophocaena Phocaenoides) In The Kuching Bay, Sarawak
Fig. 3. Relative densities for Irrawaddy dolphins (a) and finless porpoises (b). Densities are represented as the number of sightings per km searched in 2 × 2 km grid cells. This includes all on-effort sightings and all effort tracks from the start of the project in Jun.2008 through Oct. 2011.
Fig. 2 in Population Estimates And Distribution Patterns Of Irrawaddy Dolphins (Orcaella Brevirostris) And Indo-Pacific Finless Porpoises (Neophocaena Phocaenoides) In The Kuching Bay, Sarawak
Fig. 2. Distribution of on-effort sightings made during 2010–2011 DISTANCE surveys of the Kuching area. Sea conditions and logistical constraints limited survey coverage of the upper Northwestern most corner of the Santubong-Salak block.
Fig. 1 in Population Estimates And Distribution Patterns Of Irrawaddy Dolphins (Orcaella Brevirostris) And Indo-Pacific Finless Porpoises (Neophocaena Phocaenoides) In The Kuching Bay, Sarawak
Fig. 1. Kuching area survey "strata". Shapes for areas were created in Google Earth, creating slight mis-match with the base maps used in ArcGIS.
Figure 5 in Distribution patterns of ocellated eagle rays, Aetobatus ocellatus, along two sites in Moorea Island, French Polynesia
Figure 5. – Percentage of observations for the ten different behaviours according to the study site: swimming, foraging, chafing, cruising, escape, pre-mating, jumping, conspecific interaction, heterospecific interaction, come-close. See Table II for details on each behaviour.
Figure 2 in Distribution patterns of ocellated eagle rays, Aetobatus ocellatus, along two sites in Moorea Island, French Polynesia
Figure 2. – Multiple Correspondence Analysis factor map (2 first components, 34.5% and 19.4%, respectively) representing the relationship between the study sites (ClubMed/Mareto), ontogenetic stage of the eagle rays (male/female/juvenile), seasons (wet/dry), and the time of the day (am/pm).
Figure 1 in Distribution patterns of ocellated eagle rays, Aetobatus ocellatus, along two sites in Moorea Island, French Polynesia
Figure 1. – Map highlighting the two study sites on Moorea Island, French Polynesia: Mareto and ClubMed.
Figure 4 in Distribution patterns of ocellated eagle rays, Aetobatus ocellatus, along two sites in Moorea Island, French Polynesia
Figure 4. – Abundance (number of macroinvertebrate individuals) and biomass (grams) for the two study sites. The boxes represent the first and third quartiles, black lines are the medians (second quartiles), and whiskers cor- respond to the range (min-max) of the distributions. An asterisk indicates sta- tistically significant differences.
Figure 3 in Distribution patterns of ocellated eagle rays, Aetobatus ocellatus, along two sites in Moorea Island, French Polynesia
Figure 3. – Multiple Factor Analysis scatter plots (2 first components, 18% and 13%, respectively) representing the relationship between sex (male/ female/ juvenile), the site (ClubMed/Mareto) and the environmental factors: wave and wind direction (east/north/south/ west), wind speed (high/medium/low) and current strength (no/light/medium/ strong).
Fig. 10 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 10. Lower/higher (L/H) latitude taxa ratio and quantitative stratigraphic distribution of planktic foraminiferal genera across the Danian–Selandian transition at Caravaca. Asterisks indicate climate warming events identified here.
Fig. 9 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 9. Cluster analyses based on Morisita's index for relative abundance data of species from Caravaca in the Acarinina uncinata Zone (4a) and in the Morozovella cf. albeari Zone (4b); l1 = Simpson's diversity index in sample j; l2 = Simpson's diversity index in sample k; xij = percentage of species i in sample j; xik = percentage of species i in sample k.
Fig. 2 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 2. Comparison of some planktic foraminiferal zonations proposed for the D–S transition in low and middle latitudes. Correlation with the chronostratigraphic and magnetostratigraphic scales based on data from the Zumaia stratotype. (*) Probable biostratigraphic position of the base of the Igorina pusilla Zone by Toumarkine and Luterbacher (1985), and Canudo and Molina (1992), based on data from Zumaia. (**) Biostratigraphic position of the P3a/P3b boundary by Berggren and Pearson (2005), assuming that their species concept of I. albeari includes Morozovella crosswicksensis by Blow (1979) and Arenillas and Molina (1997) and/or M. cf. albeari by Arenillas et al. (2008). FOD, first occurrence data; L/H, lower/higher latitude, LOD, last occurence data.
Fig. 3 in Patterns of spatio-temporal distribution as criteria for the separation of planktic foraminiferal species across the Danian-Selandian transition in Spain
Fig. 3. Quantitative stratigraphic distribution of planktic foraminiferal species across the Danian–Selandian transition at Caravaca. The shown stratigraphic interval does not include the lower part of the A. uncinata Zone, where Globoconusa species were found (see Arenillas and Molina 1997).
Linked collectors and determiners for: Integrative taxonomy of the Merodon aberrans (Diptera, Syrphidae) species group: distribution patterns and description of three new species.
Natural history specimen data linked to collectors and determiners held within, "Integrative taxonomy of the Merodon aberrans (Diptera, Syrphidae) species group: distribution patterns and description of three new species". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/1675d5af-45e3-465f-b6a2-0488c00137aa">https://bionomia.net/dataset/1675d5af-45e3-465f-b6a2-0488c00137aa</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/1675d5af-45e3-465f-b6a2-0488c00137aa">https://gbif.org/dataset/1675d5af-45e3-465f-b6a2-0488c00137aa</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: Michigan Plecoptera (Stoneflies): Distribution Patterns And An Updated Species List.
Natural history specimen data linked to collectors and determiners held within, "Michigan Plecoptera (Stoneflies): Distribution Patterns And An Updated Species List". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/0782b9e6-75e0-4a60-8533-accf528f085a">https://bionomia.net/dataset/0782b9e6-75e0-4a60-8533-accf528f085a</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/0782b9e6-75e0-4a60-8533-accf528f085a">https://gbif.org/dataset/0782b9e6-75e0-4a60-8533-accf528f085a</a>. Formatted as a Frictionless Data package.
How Tillage and Crop Rotation Change the Distribution Pattern of Fungi. - Dataset
<p>In this section you can find the raw sequences and the metadata associated to the paper: Orrù, L., Canfora, L., Trinchera, A., Migliore, M., Pennelli, B., Marcucci, A., Farina, R., Pinzari, F. (2021). How tillage and crop rotation change the distribution pattern of fungi. published in <em>Frontiers in Microbiology</em>, <em>12</em>, 1469</p>
Fig. 2a-f in Wild bees (Anthophila) of Porto Santo (Madeira Archipelago) and their habitats: species diversity, distribution patterns and bee-plant network *
Fig. 2a-f: a) Andrena dourada, female; b) Andrena portosanctana, female collecting pollen on Cakile maritima; c) Lasioglossum wollastoni, female in front of nesting site; d) Osmia latreillei iberoafricana, male visiting Cakile maritima; e) Amegilla quadrifasciata maderae, female collecting pollen on Echium portosanctensis, f) Bombus terrestris lusitanicus, worker, collecting pollen on Echium portosanctensis. Photos: A. Kratochwil (a, b, e), A. Schwabe (c, d, f).
Fig. 1 in Wild bees (Anthophila) of Porto Santo (Madeira Archipelago) and their habitats: species diversity, distribution patterns and bee-plant network *
Fig. 1: Aspects from some of our sampling sites and their surroundings in March after an extreme dry winter and a wet winter: Left: March 2012 (November 2011–March 2012, no precipitation); right: March 2017 (October 2016–March 2017, 301 mm precipitation); a, b: sand beach with Vila Baleira in the centre; c, d: Pico Juliana and mainly fallow land; e, f: southern-exposed extensively grazed dry grassland; view from Capela da Graça (in the background right: Pico do Facho with Pinus plantations). Photos: A. Schwabe.
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.