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Abundance, distribution and substrate association of Hong Kong stag beetles (Coleoptera: Lucanidae) in secondary forests
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Spat bag deployment location and spat abundance, size class distribution, and associated fauna for a closed area in coastal Maine, USA, from 2013 to 2018.
This data set includes data spanning 2013-2018 describing scallop spat abundance and distribution along the coast of Maine, including closed areas. In recent years, this data includes sampling around Hurricane Island, Maine. This project was initiated as part of a collaborative project, established by fishermen, to understand local larval dynamics of Placopecten magellanicus (sea scallop) and the potential effects of closing an area to scallop fishing for an extended period of time. Spat bags are deployed in the water column in Fall and retrieved in Spring. Once retrieved, the scallop spat is counted and their shell height is measured in millimeters during the months of May to August.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - 2018.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censuses during the cruise were done using the procedures outlined in the previous paragraph.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993 - 2018.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat, which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censuses during the cruise were done using the procedures outlined in the previous paragraph. Seventy-two 30-minute transects and 15 station censuses were completed during the January cruise. Athough seabirds were widely distributed throughout the study area, the highest densities and greatest biomass occurred consistently within 2-5 km of Anvers Island and several major island groups to the south and west near the Antarctic Peninsula. Adelie Penguins were the dominant component of this seabird assemblage in terms of both abundance and biomass. South Polar Skuas ranked second and Black-browed Al
At-sea seabird censuses. Data on the species encountered (including marine mammals), their abundance, distribution and behavior. Data collected aboard cruises off the coast of the Western Antarctic Penninsula, 1993, 1999 and 2001.
The objectives of the LTER seabird component during the 92-93 season cruises were similar. These objectives included 1) determining the pelagic abundance and distribution of Adelie Penguins, 2) examining how the physical and biological characteristics of the marine environment influence these parameters and, 3) using these data to identify foraging areas that may be important to Adelie populations being studied as part of land-based work at Palmer Station. Secondary objectives included documenting the abundance and distribution of other seabirds and marine mammals within the LTER study area. The focus of the January cruise was the nearshore foraging habitat,which required sampling at smaller scales. All seabird censuses were thus conducted within approximately 100 kms of Palmer Station while traversing a sampling grid with stations at 10km intervals. The first two days (18-20 January) of this cruise were spent covering the selected grid as rapidly as possible resulting in 45 transects spaced at 45-60 minute intervals. There were no stops at the 10km stations during this Fast Grid phase. Upon completion of the Fast Grid, a force 12 gale suspended data collection for 24 hours. From January 22-25 the grid direction was reversed and the grid repeated. During this Slow Grid phase, 2-M net tows were done at 10km intervals and BOPS and 1-M and 2-M net tows every 20 km. All seabird censusesduring the cruise were done using the procedures outlined in theprevious paragraph.
Figure 6 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 6 Changes in the measured environmental cave substrate variables relative to distance from cave entrance, the error bars indicate standard deviation of the measurements at each sampling point. A Acidity (pH) B electrical conductivity (μS/cm) C percentage soil moisture.
Figure 3 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 3 Common macroinvertebrate taxa found in Gcwihaba cave (photos by R. Mazebedi). A Cave cockroach (Gyna sp.) in family BlaberidaeB cave cricket (likely Spelaeiacris sp.) in the family RhaphidophoridaeC darkling beetle (Eurychora sp.) in the family TenebrionidaeD violin spider (Loxosceles sp.) in the family Sicariidae.
Figure 1 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 1 Location of Gcwihaba hills in Botswana indicated by a red triangle (Reprinted from Robbins et al. 1996 with permission from Lawrence Robbins).
Figure 7 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 7 A CCA biplot of the relationships between cave macroinvertebrate taxa (triangles), sampling points (filled circles) and the measured environmental (variables lines with arrows). Environmental variables are presented as vectors, with arrow heads indicating their direction of increase. A positive correlation between the environmental variables and macroinvertebrate taxa and sampling points is indicated by their proximity to the arrowhead. Taxa and sampling points with a negative correlation with the variable axis plot on the opposite side of the arrowhead relative to the centroid, with the correlation strength increasing with distance of the symbols from the centroid.
Figure 5 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 5 Proportion of the four most abundant macroinvertebrate taxa along a 50 m transact into Gcwihaba cave.
Figure 4 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 4 Variation of the abundance and diversity of terrestrial macroinvertebrate samples with respect to distance into Gcwihaba cave, including all samples collected at each site, samples collected only from the floor at each site and samples collected only from the cave walls at each site.
Figure 2 from: Mazebedi R, Hesselberg T (2020) A preliminary survey of the abundance, diversity and distribution of terrestrial macroinvertebrates of Gcwihaba cave, northwest Botswana. Subterranean Biology 35: 49-63. https://doi.org/10.3897/subtbiol.35.51445
Figure 2 The plan view of Gcwihaba cave (also known as Drotsky's cave) showing its chambers, the approximate position of cave sites surveyed for this study and other internal features (Modified from Dandurand et al. 2019, with permission from Gregory Dandurand).
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.
Data from: The influence of geomorphic processes on plant distribution and abundance as reflected in plant tolerance curves
Ecologists describe plant distribution using direct gradient analysis, by which a tolerance curve of species abundance is described along an environmental gradient (any environmental variable that affects plant distribution). Soil moisture is generally the gradient in low relief areas that explains the most variation. Traditional direct gradient analyses have used terrain structure (i.e. transects up or down hillslopes) as a correlate to soil moisture. Here we use a numerical tectonic and geomorphic process-based landscape development model to create two landscapes with different geomorphic characteristics (i) to demonstrate the influence of geomorphic processes on soil moisture patterns and plant distribution and (ii) to evaluate the effectiveness of transects in describing moisture gradients and tolerance curves on landscapes dominated by creep or overland flow. We use a topographic index to approximate the distribution of soil moisture as it is determined by the shape of these different landscapes. Transects are placed on hillslopes in each model landscape and used to construct tolerance curves. Results show that transect methods that use the distance from the channel to the ridgeline as an approximation of soil moisture create variable tolerance curves for the same plant both within a single landscape and between different landscapes. The reason for these differences is that transects do not take into account the 3-dimensional landscape form that explains water movement. Landscapes have regions of convexity and flow path divergence and regions of concavity and flow path convergence which, along with hillslope length, determine contributing area. In addition, hillslope curvature results in varying capacities to retain water. However, when the topographic index is used instead of hillslope transect position, tolerance curves from the same and different landscapes reflect the differences the topographic structure has on soil moisture. We thus show that traditional methods of direct gradient analysis are not always adequate as they do not tend to consider that soil moisture depends on hillslope length, curvature, and slope. Furthermore, we show that within and between landscapes there are differences in spatial distributions of soil moisture that are reflections of the geomorphic processes that created them.
Figure 1 in Responses of pink shrimp Farfantepenaeus brasiliensis (Latreille, 1817) (Penaeoidea) to physico-chemical parameters in a marine protected area: changes in abundance and distribution after 20 years
Figure 1. Marine protected area (MPA) and sampling stations in Fortaleza Bay.
FIGURE 2 in The reef fish assemblage of the Laje de Santos Marine State Park, Southwestern Atlantic: annotated checklist with comments on abundance, distribution, trophic structure, symbiotic associations, and conservation
FIGURE 2. Habitat types found at the Laje de Santos Marine State Park.
Fig. 1 in Observations On Species Abundance Distribution In Fly Collections
Fig. 1. Frequency polygons of 2-moving averaged abundance frequencies with the serial number of the average on the horizontal axis. For example, in the case of collection 2003 the first average is
Figure 2 in Distribution and abundance of dinoflagellates from the coastal waters of Karachi, Pakistan, northern part of the Arabian Sea
Figure 2. Phytoplankton cell abundance (cellx103L-l) and dinoflagellates percentage (%) recorded from offshore and nearshore waters along the Sindh coast of Pakistan. A-B: Manora Island and Mubarak Village offshore waters; C-D: Manora Island and Mubarak Village nearshore waters.
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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.