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106 results for “vertical distribution”
Data from: Patterns in vertical distribution and their potential effects on transport of larval benthic invertebrates in a shallow embayment
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Data from: Root vertical distributions of two Artemisia species and their relationships with soil resources in the Hunshandake desert, China
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A combination of morphological and photosynthetic functional traits maintains the vertical distribution of bryophytes in a subtropical cloud forest
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Data from: Vertical distribution of the soil microbiota along a successional gradient in a glacier forefield
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Data for: Linking vertical movements of large pelagic predators with distribution patterns of biomass in the open ocean
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Figure 3 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 3 Calanopia media female from the Red Sea A mandible B maxillule C maxilla D maxilliped. Scale bars in mm.
Figure 6 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 6 SEM micrograph of Calanopia media male from the Red Sea A rostrum, ventral view B prosomal end with abdomen, ventral view (medial notch indicated by arrow) C enlarged segments XX–XXIII D male leg 5, posterior view.
Figure 7 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 7 Neighbor Joining phylogenetic tree based on the mtCOI genes of Calanopia elliptica, C. media, C. minor and C. thompsoni from the Red Sea (indicated by *). Calanopia thompsoni sequences (indicated by +) from GenBank were used for comparative analysis.
Figure 5 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 5 Calanopia media male from the Red Sea A habitus, dorsal view B rostrum, lateral view C enlarged rostral filaments (rudimentary rostral notch indicated by arrow) D abdomen, ventral view (knob indicated by arrow) E right antennule F enlarged segments XVIII–XXIII G leg 5, posterior view. Scale bars in mm.
Figure 1 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 1 Calanopia media female from the Red Sea A habitus, dorsal view B habitus, lateral view C rostrum, lateral view (rudimentary rostral notch indicated by arrow) D abdomen, ventral view E abdomen, dorsal view F–G antennule H antenna. Scale bars in mm.
Figure 4 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 4 Calanopia media female from the Red Sea A leg 1, anterior view B leg 2, anterior view C leg 3, anterior view D leg 4, posterior view E leg 5, posterior view. Scale bars in mm.
Figure 2 from: El-Sherbiny MM, Al-Harbi MA (2020) New morphological and molecular data on the little-known pontellid Calanopia media Gurney, 1927 (Crustacea, Copepoda, Calanoida) from the Red Sea, with notes on its diel vertical distribution. ZooKeys 922: 13-33. https://doi.org/10.3897/zookeys.922.46977
Figure 2 SEM micrographs of Calanopia media female from the Red Sea A rostrum, ventral view B abdomen, dorsal view C abdomen, ventral view D leg 5, posterior view.
The vertical distribution of soil microbial biomass carbon: A global dataset
<p>Soil microbial biomass carbon (SMBC) is important in regulating soil organic carbon (SOC) dynamics along soil profiles by mediating the decomposition and formation of SOC. The dataset is about the vertical distributions of SOC, SMBC, and soil microbial quotient (SMQ = SMBC/SOC) and their relations to environmental factors across five continents. Data are collected from literature, with a total of 289 soil profiles and 1040 observations in different soil layers compiled. The associated environment data were also collectd including climate, ecosystem types, and edaphic factors. More specifically, we develop this dataset by compiling data from 59 papers published in the Web of Sciene and the China National Knowledge Infrastructure from the year of 1970 to 2019. All the data included in this dataset meet two creteria: 1) there are at least three soil layers along a soil profile, and 2) soil MBC is measured using the fumigation extraction method. The data were obtained from tables and texts from literature directly, and the data in figures were extracted using GetData Graph digitizer software version 2.25. When climate and soil properties are not available from publications, we obtainted the data from the World Weather Information Service (https://worldweather.wmo.int/en/home.html) and SoilGrids at a spatial resolution of 250 meters (version 0.5.3, https://soilgrids.org).</p> <p>The units of all the variables are converted to the standard international units or commonly used ones and the values are converted correspondingly. For example, the value of soil organic matter (SOM) is converted to SOC using the equation (SOC = SOM × 0.58). Soil depth is calculated as the arithmetic mean value of the upper and lower boundaries for a given soil layer.</p> <p>This dataset can be used in predicting global SOC change along soil profiles using the multi-layer soil C models. It can also be used to analyse how soil microbial biomass changes with plant roots as well as the composition, structure, and functions of soil microbial communities along soil profiles at large spatial scales. This dataset offers opportunities to improve our prediction of SOC dynamics under global changes and to advance our understanding of the environmental controls.</p>
Figure 6 in Inter-oceanic comparison of planktonic copepod ecology (vertical distribution, abundance, community structure, population structure and body size) between the Okhotsk Sea and Oyashio region in autumn
Figure 6. Vertical distribution of the prosome length ratios of the copepods (PLOkhotsk: PLOyashio) (left) and temperature anomalies (°C: TOkhotsk – TOyashio) (right) between the Okhotsk Sea (St. OK24) and Oyashio region (St. 19) evaluated by IONESS from October to November 1996. The vertical distribution of each copepod is calculated by daily duplicate samples in the Okhotsk Sea (symbols and bars indicate the means and standard deviations of D50%, respectively). For inter-oceanic comparison, the dashed lines in each panel indicate that the positions of values of both regions are equal.
Figure 1 in Inter-oceanic comparison of planktonic copepod ecology (vertical distribution, abundance, community structure, population structure and body size) between the Okhotsk Sea and Oyashio region in autumn
Figure 1. Location of the sampling stations in the Okhotsk Sea and Oyashio region from September to December in 1996–1998. ○: closing net sampling, ●: closing net and IONESS sampling.
Cold-water coral assemblages on vertical walls: distribution patterns from the Northeast Atlantic
<p><b>Aim</b>: In this study, we assess patterns of cold-water coral assemblages observed on deep-sea vertical walls. Similar to their shallow-water counterparts, vertical and overhanging walls in the deep sea can host highly diverse communities, but because of their geometry, these habitats are generally overlooked and remain poorly known. These vertical habitats are however of particular interest, because they can protect vulnerable coral ecosystems from trawling activities. As such, it is important to understand their ecology and assess their global importance. </p> <p><b>Location</b>: Vertical walls on complex geomorphic features, in particular walls of the Rockall Bank Slope Failure Escarpment, Whittard and Explorer Canyons, Northeast Atlantic.</p> <p><b>Methods</b>: Video analysis of ROV transects carried out at five sites is used to investigate differences in species composition and diversity across walls and to compare those to nearby cold-water coral sites on flat terrain. A high-resolution photogrammetric reconstruction is further employed to examine whether wall complexity plays a role in promoting niche differentiation at very fine spatial scales. </p> <p><b>Results</b>: The investigated walls showed differences in species assemblage both across walls as well as in comparison to flat sites, with the fine-scale heterogeneity engendered by walls allowing niche differentiation between closely-related taxa. </p> <p><b>Main Conclusions</b>: Vertical walls represent an important cold-water coral habitat with differences in species composition across walls within a region, illustrating their role in driving diversity patterns. Based on publicly available bathymetric datasets and a catalogue of broad-scale terrain features, globally over 8,000 features are likely to have vertical walls and cold-water corals, which highlights the need to consider deep-sea vertical habitats in current conservation efforts.</p>
Figure 1 in Vertical distribution of liverwort communities and their relationship with environmental factors in a karst sinkhole in south-western China
Figure 1. Diagram of Monkey-Ear Sinkhole.
Figure 4 in Vertical distribution of liverwort communities and their relationship with environmental factors in a karst sinkhole in south-western China
Figure 4. The vertical distribution of liverwort communities at different depths.
Figure 3 from: de Oliveira Dias C, de Araujo AV, Bonecker SLC (2018) Vertical distribution and structure of copepod (Arthropoda: Copepoda) assemblages in two different seasons down to 1,200 m in the tropical Southwestern Atlantic. Zoologia 35: 1-11. https://doi.org/10.3897/zoologia.35.e13886
Figure 3 Vertical distribution of the mean and standard deviation of the copepod density (log ind.m-³) during two sampling periods: rainy season, RS; dry season, DS.
Figure 5 from: de Oliveira Dias C, de Araujo AV, Bonecker SLC (2018) Vertical distribution and structure of copepod (Arthropoda: Copepoda) assemblages in two different seasons down to 1,200 m in the tropical Southwestern Atlantic. Zoologia 35: 1-11. https://doi.org/10.3897/zoologia.35.e13886
Figure 5 DbRDA ordination derived from DistLM analysis, including the main environmental parameters explaining the variability in copepod assemblage structures during the sampling period. Temp, temperature; Sal, salinity. Black triangle, rainy season 1 m; open triangle, dry season 1 m; black circle, rainy season 250 m; open circle, dry season 250 m; black square, rainy season 800 m; open square, dry season 800 m; black polygon, rainy season 1,200 m; open polygon, dry season 1,200 m.
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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.