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1,002 results for “Body size”
Lake Mendota, Wisconsin, USA, Zebra Mussel Body Size and Biomass Biometrics 2018
We sampled 98 individuals of the zebra mussel (Dreissena polymorpha) population of Lake Mendota from many littoral zone sites in 2018 to create biometric relationships between several metrics of body size and several metrics of biomass, including length, width, height, living weight, wet weight, dry weight, shell weight, shell-free dry weight, and ash-free dry weight. We selected individuals to span a wide range of body sizes and found strong relationships between most combinations of body size and biomass metrics.
Two decades of body length measurements in size-structured larval and juvenile fish populations in English rivers.
<p>Long term ecological datasets are valuable in providing context and understanding to complex ecological processes that occur over broad temporal scales, and provide a baseline for analysing change. Monitoring of fish populations in UK waterbodies and elsewhere is typically through measuring the length of individual fish caught in surveys. Through this method, the age structure of fish populations can be determined, as well as over winer survival rates and future recruitment success and cohort sizes can be predicted. The larval and juvenile period are when fish are considered most vulnerable to predation, competition, disease and environmental perturbations. </p> <p><br>This study presents the first long-term larval and juvenile fish lengths dataset for 67 survey sites over two decades (1999-2018) from the rivers Ancholme, Warwickshire Avon, Don, Trent, and Yorkshire Ouse (including the Swale, Ure, Nidd and Wharfe) in the United Kingdom. These rivers represent a range of topographical and biotopical characteristics. For the majority of this study, surveys were conducted on a monthly or fortnightly basis making both annual and seasonal analyses of size structure, growth and body length possible. Although there is some variation in the sampling frequency and some locations varied throughout the study according to requirements. In total, more than 380,000 larval or juvenile fish of 30 species were measured, likely representing one of the most comprehensive datasets of its type.</p> <p>Surveys were conducted in river margins, where the velocity was slowest and larval and juvenile fish tend to aggregate. Fish were captured using a 25 x 3 m micromesh (3 mm mesh size) seine net that was set in a rectangle parallel to the bank. This net capture fish as small as 5 mm and is the most appropriate method of catching larvae and juvenile fish, although occasionally some larger adult fish may have also been captured and measured as part of this dataset for completeness. All fish were identified to species and measured to standard length (mm) and released at the point of capture. The exception was the smallest larvae, which were euthanised with an overdose of methanesulphonate (MS-222) and preserved in 4% formalin solution for microscopic examination.</p> <p><br>The dataset contains 384,090 rows and 13 columns. Each row corresponds to a single fish that was measured at each site and date. Associated site information (site name, location, area fished (m<sup>2</sup>) and survey date) is reported for each row. When only a fraction of the catch was processed, the sub-sample size was reflected in the Count column (e.g. when half the sample was processed, the numbers of fish measured or only counted were multiplied by two). This enables accurate densities to be calculated as the total number of both measured and unmeasured fish is recorded.</p> <p>Description of columns found in the dataset:</p> <p> </p> <table> <tbody> <tr> <td> <p><strong>Column heading</strong></p> </td> <td> <p><strong>Column description</strong></p> </td> <td> <p><strong>Data type</strong></p> </td> <td> <p><strong>Units</strong></p> </td> </tr> <tr> <td> <p>Fish _Catchment</p> </td> <td> <p>The river catchment/basin location of each fish site</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_River</p> </td> <td> <p>The river/watercourse location of each fish site.</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_SiteName</p> </td> <td> <p>The name of each fish site</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Fish_Latitude</p> </td> <td> <p>The latitude of each fish site (WGS 1984)</p> </td> <td> <p>Integer</p> </td> <td> <p>Decimal degrees</p> </td> </tr> <tr> <td> <p>Fish_Longitude</p> </td> <td> <p>The longitude of each fish site (WGS 1984)</p> </td> <td> <p>Integer</p> </td> <td> <p>Decimal degrees</p> </td> </tr> <tr> <td> <p>Fish_Area</p> </td> <td> <p>Area of fish site surveyed</p> </td> <td> <p>Integer</p> </td> <td> <p>m<sup>-2</sup></p> </td> </tr> <tr> <td> <p>Fish_SurveyDate</p> </td> <td> <p>Date fish survey was carried out</p> </td> <td> <p>Integer</p> </td> <td> <p>dd/mm/yyyy</p> </td> </tr> <tr> <td> <p>Fish_Year</p> </td> <td> <p>Year fish survey was carried out</p> </td> <td> <p>Integer</p> </td> <td> <p>yyyy</p> </td> </tr> <tr> <td> <p>Common_Name</p> </td> <td> <p>The common/vernacular name of each fish taxon recorded in the dataset.</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Latin_Name</p> </td> <td> <p>The scientific name of each fish taxon recorded in the dataset</p> </td> <td> <p>Text</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Net_Number</p> </td> <td> <p>The net number the fish in a given survey were caught on</p> </td> <td> <p>Integer</p> </td> <td> <p>n/a</p> </td> </tr> <tr> <td> <p>Length_mm</p> </td> <td> <p>Length of individual fish caught</p> </td> <td> <p>Integer</p> </td> <td> <p>mm</p> </td> </tr> <tr> <td> <p>Count</p> </td> <td> <p>Count of fish caught accounting for sub- sampling</p> </td> <td> <p>Integer</p> </td> <td> <p>Number of fish</p> </td> </tr> </tbody> </table> <p> </p>
Individual-based body sizes of wild bees along elevational gradients on Mt. Kilimanjaro
<p><span>This dataset contains body size measurements of wild bees that were captured along elevational gradients on the southern slopes of Mt. Kilimanjaro (Tanzania) using standardized sampling methods (pan traps, transect walks). The dataset includes bee species identified at the species level as well as morphospecies. The bees were measured individually, meaning that intraspecific differences in body size are also represented. The intertegular distance (ITD) in millimeters was measured as a surrogate for body size.</span></p> <p><span>The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.</span></p>
Body size convergence in Sturnira - R Code and supporting data
<p>R Code and supporting data for: Co-occurrence and character convergence in two Neotropical bats. Journal of Mammalogy</p>
Spreadsheet template for Body Size Data for North American Orthopteroid Insects
<p>Body size data for orthopteroid insects extracted from:</p> <p>Vickery, V.R., Kevan, D.K.McE., 1985. The insects and arachnids of Canada, Part 14. The Grasshoppers, Crickets, and Related Insects of Canada and Adjecent Regions. Research Branch Agriculture Canada Publication 1777:1-918.</p>
Body Size Data for North American Spiders
<p>Body size data for North American spiders extracted from The Insects and Arachnids of Canada: <br><br>Dondale, C. D. & Redner, J. H. (1978). The insects and arachnids of Canada, Part 5. The crab spiders of Canada and Alaska, Araneae: Philodromidae and Thomisidae. Research Branch Agriculture Canada Publication 1663: 1-255. <br><br>Dondale, C. D. & Redner, J. H. (1982). The insects and arachnids of Canada, Part 9. The sac spiders of Canada and Alaska, Araneae: Clubionidae and Anyphaenidae. Research Branch Agriculture Canada Publication 1724: 1-194. <br><br>Dondale, C. D. & Redner, J. H. (1990). The insects and arachnids of Canada, Part 17. The wolf spiders, nurseryweb spiders, and lynx spiders of Canada and Alaska, Araneae: Lycosidae, Pisauridae, and Oxyopidae. Research Branch Agriculture Canada Publication 1856: 1-383. <br><br>Platnick, N. I. & Dondale, C. D. (1992). The insects and arachnids of Canada, Part 19. The ground spiders of Canada and Alaska (Araneae: Gnaphosidae). Research Branch Agriculture Canada Publication 1875: 1-297.</p>
Spreadsheet Template for Body Size Data for North American Hemiptera
<p>Body size data for North American Hemiptera extracted from The Insects and Arachnids of Canada:</p> <p>Hamilton, K.G.A., 1982. The insects and arachnids of Canada, Part 10. The Spittlebugs of Canada. Homoptera: Cercpidae. Research Branch Agriculture Canada Publication 1740:1-102.</p> <p>Kelton, L.A., 1978. The insects and arachnids of Canada, Part 4. The Anthocoridae of Canada and Alaska: Heteroptera, Anthocoridae. Research Branch Agriculture Canada Publication 1639:1-101.</p> <p>Kelton, L.A., 1980. The insects and arachnids of Canada, Part 8. The plant bugs of the prairie provinces of Canada (Heteroptera: Miridae). Research Branch Agriculture Canada Publication 1703:1-408.</p> <p>Matsuda, R., 1977. The insects and arachnids of Canada, Part 3. The Aradidae of Canada: Hemiptera: Aradidae. Research Branch Agriculture Canada Publication 1634:1-116.</p>
Coleoptera Carabidae body size in pitfall traps in sub project 7 in KiLi project
<p>There are still some unsolved qustions regarding plot level information, but means per Carabid species are available. Abacetus spec., Afrotarus kilimanus, Neosipelus sp. 1 and sp 2., Tyronia lateralis and Tyronia spec. nov. - measurements are available, but without information for the plot.</p> <p>Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species.</p> <p>The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.</p>
SBC LTER: Reef: Coefficients for estimating biomass from body size or percent cover for kelp forest species
These data provide coefficients to estimate the biomass of macroalgae, invertebrates and fish from field measurements of body size or percent cover. We developed quantitative relationships between mass and length or mass and percent cover, and conversion factors for transforming wet mass into dry mass, shell free and decalcified dry mass, and ash-free dry mass for taxa of benthic macroalgae and macroinvertebrates common to giant kelp forests in southern California. We also compiled literature-based relationships between mass and total length for reef fish common to giant kelp forests in southern California.
SBC LTER: Reef: Kelp Forest Community Dynamics: Kelp Forest Data to support "Estimating biomass of benthic kelp forest invertebrates from body size and percent cover"
These data describe quantitative relationships between wet mass and length or wet mass and percent cover, and conversion factors to transform wet mass into dry mass, shell-free and decalcified dry mass, and ash-free dry mass for 84 species of benthic macroinvertebrates common to giant kelp forests in southern California. Data are based on organisms collected from sites in the Santa Barbara Channel between April 2010 and May 2014. These measurements are intended to facilitate the conversion of invertebrate abundance into common metrics of biomass, for quantitative studies of community dynamics, trophic interactions, energy flow and biodiversity. Converting numerical abundance (i.e., organism density) to biomass requires information on the relationship between individual size and biomass. For colonial and small aggregating taxa that are numerous and indistinct, measures of abundance are usually proportional (e.g., percent cover). Hence, converstions are taxa-specific, based on either size or cover, and a variety of metrics of species biomass are included, e.g., wet mass, shell-free wet mass, ash-free dry mass. Data are published in Reed, D. C, J. C. Nelson, S. L. Harrer, and R. J. Miller, Estimating biomass of benthic kelp forest invertebrates from body size and percent cover data. Marine Biology. DOI: 10.1007/s00227-016-2879-x. From the paper abstract: The inability to compare different measures of species abundance (such as density and percent cover) or different metrics of species biomass (such as wet mass and ash-free dry mass) hampers quantitative studies of community dynamics, trophic interactions, energy flow and biodiversity. This has been especially problematic for the dynamic and highly productive communities inhabiting shallow reefs in temperate seas where varied metrics are commonly used to characterize the abundance and biomass of different suites of species. Regressions for all 84 species were highly significant and regression fits were very good for mos
Figure 4 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 4. Copepod species composition (centre) and copepodid stage structures of the dominant species (left: Oyashio region, right: Okhotsk Sea). All data are integrated means of a 0– 500 m water column based on the IONESS samples in the Oyashio region (St. 19) and Okhotsk Sea (St. OK24) from October to November 1996. Error bars for the copepodid stage indicate standard deviations of each daily duplicate.
Figure 3 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 3. Vertical distribution of zooplankton biovolume in the Oyashio region (upper panels) and Okhotsk Sea (lower panels) from September to December in 1996–1998. Note that the biovolume axes are not the same between panels. Tc: thermocline.
Supporting data: Reporting phenotypes in model organisms when considering body size as a potential confounder.
<p>This directory contains the data and associated scripts used to generate the figures in the manuscript "Reporting phenotypes in model organisms when considering body size as a potential confounder." submitted to the Journal of Biomedical Semantics</p>
Fig. 1 in Scaling of Sound Pressure Level and Body Size in Cicadas (Homoptera: Cicadidae; Tibicinidae)
Fig. 1. Mean call sound pressure level (SPL) at 50 cm as a function of mean body mass for 30 cicada species. Call SPL was calculated from the mean power output determined for each species (n = 1 -40). Body mass is the mean value determined for the males of each species, not the specific individuals that were calling (n = 9-223).
Fig. 2 in Scaling of Sound Pressure Level and Body Size in Cicadas (Homoptera: Cicadidae; Tibicinidae)
Fig. 2. Alarm call SPL as a function of body mass. The alarm calls were measured 50 cm from individual insects using the apparatus described. Each cicada was rotated in space while producing the alarm call to eliminate any variation between species caused by possible asymmetries in the sound field.
Body size modulates the extent of seasonal diet switching by large mammalian herbivores in Yellowstone National Park
<div> <p><span>Large mammalian herbivores vary their diets markedly with changes in resource availability yet the ways that seasonal changes in individual foraging behaviors scale up to reconfigure complex trophic networks are poorly understood. Two years of dietary DNA data enabled us to quantify fine-grained dietary variation within and among populations of five large herbivore species at Yellowstone National Park, revealing remarkably strong and significant correlations between body size and five key indicators of diet seasonality (R<sup>2</sup> = 0.71–0.80). Data from GPS collars implicated seasonal changes in each species' movement- and habitat-use patterns as potential determinants of foraging constraints and specializations that give rise to the strong allometry in diet composition. Bison and elk showed relatively muted seasonal changes compared to smaller species that exhibited stronger switches. Whereas the taxonomic breadth of individual diets contracted for all species in winter, larger species generally consumed a greater functional diversity of plants and thus maintained more unique dietary niches under resource limitations.</span></p> </div>
Paper data and code of manuscript: Intraspecific variation on heat tolerance in a model ectotherm: effects of body mass, cell size, oxygen and sex
<p>When using the data or code from this manuscript, please cite it as:</p><p><strong>Leiva FP</strong>, Santos M, Rezende E, & Verberk WCEP. 2021. Paper data and code of manuscript: Intraspecific variation on heat tolerance in a model ectotherm: effects of body mass, cell size, oxygen and sex. Zenodo. <a href="https://doi.org/10.5281/zenodo.5120028">https://doi.org/10.5281/zenodo.5120028</a>.</p>
Fig. 2 in Dependence of spermatophore size and sperm number on body weight in various cricket species (Insecta, Orthoptera)
Fig. 2: Linear regression analyses elucidating possible relationships between ampulla diameter and body weight (a) as well as between number of sperm and ampulla diameter (b). Data obtained for all investigated cricket species have been plotted (N = 80).
Fig. 1 in Dependence of spermatophore size and sperm number on body weight in various cricket species (Insecta, Orthoptera)
Fig. 1: General appearance of the spermatophore produced by males of the four cricket species investigated for this study (STURM 2003): (a) overview of a spermatophore with its spermcontaining ampulla (amp) and attachment plate (ap); (b) main components of the ampulla: apical papilla (pap), outer membrane (om), inner membrane (im), sperm mass (spm), and spermatphore tube (spt); (c) electron micrograph exhibiting the internal structure of a spermatophore (il: inner layer); (d) detailed view on the sperm mass included into the ampulla (spf: sperm flagella).
Data from: Interactions between sexual signaling, thermoregulation and body size drive ecology and evolution of wing colors in Odonata
<p>This dataset consists of images of the fore and hind wings (and associated metadata) of 4091 individual odonate specimens, and thus over 8000 wings, imaged on a commercially-available Epson desktop flatbed scanner and color-calibrated using a color-checker, comprising the Targeted Odonata Wing Digitization dataset (TOWD; <a href="https://digitizingdragonflies.org/">https://digitizingdragonflies.org/</a>) The odonates imaged are all from the Nearctic, and represent 343 species. </p> <p>In this dataset, 47% of images come from the Alabama Museum of Natural History (ALMNH), 19% from the PhD thesis collection of William Kuhn (now housed at the American Museum of Natural History, AMNH), 19% from the collection of the late Michael L. May, and 13% from Jessica Ware’s Rutgers-University Newark collection (now housed at the AMNH). </p> <p>Files are individual PNGs where transparency is the background. </p> <p>Metadata includes species, sex, and county. </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)
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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.