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851 results for “Turnover”
Patterns of root biomass, productivity, turnover, and decomposition in riverine and scrub mangroves in the Everglades, Florida, USA, immediate-post-Irma, 2018-2019, and post-Irma, 2023-2024
Mangrove root biomass, productivity, and decomposition in the shallow (0-45 cm depth) root zone were estimated at Florida Coastal Everglades Long Term Ecological Research (FCE-LTER) Program Shark River (SRS4, SRS5, SRS6, SRS7) and Taylor River (TS/Ph6b, TS/Ph7b) mangrove sites during 2018-2019 and 2023-2024 following Hurricane Irma’s impacts in September 2017. Root biomass was estimated at all sites during both immediate-post-Irma (March 2018) and post-Irma (February-May 2023) periods with a PVC coring device (10.2 cm diameter x 45 cm length) using the same sampling protocol previously published for the study area (Castañeda-Moya et al. 2011). After collection, root cores were processed individually and initially rinsed with water through a 1-mm screen mesh to remove soil particles. Roots were separated manually based on their buoyancy, turgor, and color into biomass (live) and necromass (dead) components (Castañeda-Moya et al. 2011; Cormier et al. 2015; Medina-Calderon et al. 2021). Live roots were further sorted into three size diameter classes including fine (<2 mm), small (2-5 mm), and coarse (5-20 mm). Roots greater than 20 mm in diameter were not included in this study due to sampling limitations (i.e., core area). All root samples were oven-dried at 60°C to a constant mass and weighed to estimate root biomass and necromass (g m-2). Root productivity was estimated with the ingrowth core technique (Vogt et al., 1998) during both the immediate-post-Irma and post-Irma periods using the same sampling protocol previously published for the study area (Castañeda-Moya et al. 2011). Ingrowth cores (10.2 cm diameter x 45 cm length) were made of synthetic material (3 mm mesh) and filled with root-free commercial sphagnum peat moss. This material has similar soil properties (i.e., bulk density, organic matter content, total C and N) as mangrove peat in our study sites. Ingrowth cores were installed in each of the cored holes formed during sampling of root biomass. At each
Concentrations, turnover rates and fluxes of polyamines in coastal waters of the South Atlantic Bight during April and October 2011
Polyamines are short-chain aliphatic compounds containing multiple amine groups. They are important components of the cytosol of eukaryotes and are present at mmol/L concentrations inside phytoplankton cells, while complex polyamines play a role in biosilica deposition. Concentrations of polyamines measured in seawater are typically in the sub nmol/L range, implying rapid and efficient uptake by osmotrophs, likely bacterioplankton. We measured turnover rates of three polyamines (putrescine, spermidine and spermine) using 3H-labeled compounds and determined their concentrations by HPLC to estimate polyamine contributions to dissolved organic matter and bacterioplankton carbon and nitrogen demand. These measurements were made on transects from the inner shelf to the Gulf Stream across the South Atlantic Bight (SAB) during April and October of 2011 and in salt marsh estuaries on the Georgia coast during August of 2011 and April of 2012. This data set includes measurements of water column variables (temperature, salinity, biogenic Silica), nutrients (nitrite, nitrate+nitrite, ammonium and dissolved inorganic nitrogen), and concentrations and turnover rates of polyamine compounds.
Diffraction images used to solve the structures published in the article "A Family of Dual-Activity Glycosyltransferase-Phosphorylases Mediates Mannogen Turnover and Virulence in Leishmania Parasites"
<p>Raw diffraction images used for generating the structures published in the article A Family of Dual-Activity Glycosyltransferase-Phosphorylases Mediates Mannogen Turnover and Virulence in Leishmania Parasites" (available <a href="https://doi.org/10.1016/j.chom.2019.08.009">here</a>). The software used for the processing of each dataset is listed in their respective PDB entries.</p> <p> </p> <p>If you find this useful, please contact me at <a href="mailto:lukasz.sobala@hirszfeld.pl">lukasz.sobala@hirszfeld.pl</a>, I am just interested in how these data are used!</p>
Turnover of the Radio Broadcasting Industry in Europe
<p>Imputed and forecasted values of the radio broadcasting industry from the <a href="https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=sbs_na_1a_se_r2&lang=en">Annual detailed enterprise statistics for services (NACE Rev. 2 H-N and S95)</a> Eurostat folder.</p> <p>We use backcasting, forecasting, approxmation, last observation carry forward and next observation carry backwards to impute missing values, and to create realistic forecasts up to three periods. </p> <p>Compared to the Eurostat raw data we added value with <br> Increased number of observations: 65%<br> Reduced missing values: -48.1%<br> Increased non-missing subset for regression or AI: +66.67%</p>
Record Label & Music Publishing Turnover in Europe
<p>Imputed and forecasted values of the recording and music publishing industry from the <a href="https://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=sbs_na_1a_se_r2&lang=en">Annual detailed enterprise statistics for services (NACE Rev. 2 H-N and S95)</a> Eurostat folder.</p>
Myosin turnover controls actomyosin contractile instability
<p>Simulation and experimental data related to the preprint "Myosin turnover controls actomyosin contractile instability" (https://www.biorxiv.org/content/10.1101/2021.03.18.436017). </p>
Simulations for: The anthropogenic imprint on temperate and boreal forest demography and carbon turnover
<p>LPJ-GUESS model output underlying analysis in:<br> Thomas A. M. Pugh, Rupert Seidl, Daijun Liu, Mats Lindeskog, Louise P. Chini, Cornelius Senf, The anthropogenic imprint on temperate and boreal forest demography and carbon turnover, Global Ecology and Biogeography. 10.1111/geb.13773</p> <p>For a full description of the simulations, please refer to the above paper. If using the data please cite this dataset and the publication above.</p> <p>Files are provided as netcdf4 files. Basic metadata is included in the headers of the individual files.</p> <p># Simulation types<br> _standard_nat_2014 -> Best estimate simulation under natural disturbance. Averaging period 2001-2014<br> _high_nat_2014 -> Upper estimate simulation under natural disturbance. Averaging period 2001-2014<br> _low_nat_2014 -> Lower estimate simulation under natural disturbance. Averaging period 2001-2014<br> _standard_nat_1990 -> Best estimate simulation under natural disturbance. Averaging period 1961-1990<br> _standard_natcc_2014 -> Best estimate simulation based on closed-canopy forest area calculations under natural disturbance. Averaging period 2001-2014<br> _standard_anthro_2014 -> Best estimate simulation under natural and anthropogenic disturbance. Averaging period 2001-2014<br> _high_anthro_2014 -> Upper estimate simulation under natural and anthropogenic disturbance. Averaging period 2001-2014<br> _low_anthro_2014 -> Lower estimate simulation under natural and anthropogenic disturbance. Averaging period 2001-2014<br> _site_recovery_Eurasia_nodist -> Site simulations for 4 Eurasian sites looking at the successional sequence. 800 years long under constant spinup environmental conditions.<br> _site_recovery_America_nodist -> Site simulations for 5 North American sites looking at the successional sequence. 800 years long under constant spinup environmental conditions.</p> <p># Variables (for units see netcdf metadata)<br> Cveg -> Live vegetation carbon<br> Clitter -> Litter carbon<br> Csoil -> Soil carbon<br> LAI -> Leaf area index<br> NPP -> Net primary productivity<br> GPP -> Gross primary productivity<br> distprob -> Natural disturbance probability<br> age -> Stand age structure<br> temprange -> Annual temperature range (based on monthly means)<br> wooddensity -> community mean wood density</p> <p>Note:<br> All nat simulations assume that forest covers the whole grid cell.<br> All anthro simulations assume that forest only covers the primary and secondary fractions of the grid cell, as defined in the LUH2 dataset, however values are given relative to the whole grid cell. I.e. value_on_forest_area * (primary_area_fraction+secondary_area_fraction).</p>
Root biomass, productivity, and turnover of riverine and scrub mangroves in the Everglades, Florida, USA, 2000-2006
Mangrove root biomass and productivity in the shallow (0-45 cm depth) and deeper (45-90 cm) root zones were estimated at Florida Coastal Everglades Long Term Ecological Research (FCE-LTER) Program Shark River (SRS4, SRS5, SRS6) and Taylor River (TS/Ph6b, TS/Ph7b, TS/Ph8) mangrove sites during 2000-2006. Root biomass was estimated at all sites using a PVC coring device (10.2 cm diameter x 45 cm length). After collection, root cores from each zone were processed individually and initially rinsed with water through a 1-mm screen mesh to remove soil particles. Live roots were separated manually based on their buoyancy, turgor, and color. Live roots were further sorted into three size diameter classes including fine (<2 mm), small (2-5 mm), and coarse (5-20 mm). Roots greater than 20 mm in diameter were not included in this study due to sampling limitations (i.e., core area). All root samples were oven-dried at 60°C to a constant mass and weighed to estimate root biomass (g m-2). Root productivity was estimated with the ingrowth core technique (Vogt et al., 1998). Ingrowth cores (10.2 cm diameter x 45 cm length) were made of synthetic material (3 mm mesh) and filled with root-free commercial sphagnum peat moss. This material has similar soil properties (i.e., bulk density, organic matter content, total C and N) as mangrove peat in our study sites. Ingrowth cores were installed in each of the cored holes formed during sampling of root biomass. At each site, ingrowth cores were deployed vertically into the soil and retrieved at one- and three-year intervals, and the subsequent root growth within the ingrowth core was used to estimate annual root production (g m-2 yr-1) in the shallow and deeper root zones across all mangrove sites. After collection, ingrowth cores were processed individually using the same protocol as for root biomass. Root turnover rate in the shallow root zone was calculated as root productivity divided by root biomass of each root size class at all site
SBC LTER: Kelp blade characteristics to support turnover dynamics of giant kelp, Macrocystis pyrifera in the Santa Barbara Channel
These data describe the age-specific changes in the size and related traits of giant kelp (Macrocystis pyrifera) blades in the Santa Barbara Channel (Isla Vista Reef) during the spring and summer of 2012-2013. Data are contained in three tables: 1) a time series of change in blade size with age due to growth and senescence for blades growing at different depths and locations in the kelp forest, 2) physical traits of blades (biomass density, nitrogen, chlorophyll a) of different ages collected at different depths and locations in the kelp forest, and 3) photosynthetic performance (Pmax, alpha) of blades of different ages collected at different depths and locations in the kelp forest. These data were used to test whether spatial variation in the turnover dynamics of giant kelp blades could be could be explained by leaf life span theory developed for higher plants. The data were also used in a mathematical model of frond growth and senescence to investigate the relative and absolute magnitude of blade senescence in a kelp forest, and to examine how these losses were affected by light availability. Analyses using these data were published in Rodriguez, G. E. 2014. Turnover dynamics of the giant kelp, Macrocystis pyrifera. Ph.D., University of California, Santa Barbara. ProQuest, UMI Dissertations Publishing, 2014. 3682967.
Simulations from the LPJmL3.5 dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison
<p>Outputs from the LPJmL3.5 dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.</p>
Simulations from the ORCHIDEE dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison
<p>Outputs from the ORCHIDEE dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for mortality, leaf phenological turnover and fine root phenological turnover were outputted individually. For a full description of the simulations, please refer to the accompanying paper.</p>
Simulations from the JULES dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison
<p>Outputs from the JULES dynamic global vegetation model are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 1.875 x 1.25 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.</p>
Simulations from the LPJ-GUESS dynamic global vegetation model v3.0 for the Vegetation Carbon Turnover Intercomparison
<p>Outputs from the LPJ-GUESS dynamic global vegetation model v3.0 are provided for two global simulations. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for mortality, leaf phenological turnover and fine root phenological turnover were outputted individually. For a full description of the simulations, please refer to the accompanying paper.</p>
First Early Cretaceous ichthyosaurs of Austria and the problem of Jurassic–Cretaceous ichthyosaurian faunal turnover
<p>The uploaded images are the basic data for mirco-CT reconstructions on an ichthyosur skull with internal teeth.</p> <p>The specimen is located in the collections of the Natural History Museum Vienna, Geological Palaontologival Department.</p> <p>Repository Number NHMW 2022/0001/0001.</p> <p>Publishe with the title: <strong>Alexander Lukeneder, Nikolay Zverkov, Christina Kaurin, Valentin Blüml. 2022. First Early Cretaceous ichthyosaurs of Austria and the problem of Jurassic–Cretaceous ichthyosaurian faunal turnover. Cretaeous Research, current stage after review.</strong></p>
2018 Priming experiment to investigate dissolved organic matter turnover
This dataset is associated with an experiment that was conducted on the University of Florida's campus to evaluate the role of priming in dissolved organic matter turnover. Incubations were established with dissolved organic matter substrates derived from a 13C-labeled algal substrate, mangrove peat derived dissolved organic matter leachate, and a primed condition with both algal and peat substrates. A seawater control was also included. This dataset includes measurements of water chemistry, carbon dioxide, stable isotopes, and gene counts for clusters of orthologous genes (COG). For more information, please refer to Morrison et al., Mangrove peat and algae leachates elicit rapid and contrasting molecular and microbial responses in coastal waters.
Patterns of root biomass, productivity, and turnover in riverine and scrub mangroves post-Hurricane Wilma in the Everglades, Florida, USA, 2012-2013
Mangrove root biomass, productivity, and turnover in the shallow (0-45 cm depth) root zone were estimated at Florida Coastal Everglades Long Term Ecological Research (FCE-LTER) Program Shark River (SRS4, SRS5, SRS6) and Taylor River (TS/Ph6b, TS/Ph7b) mangrove sites during 2012-2013 following Hurricane Wilma’s impacts in October 2005. Root biomass was estimated at all sites in May 2012 with a PVC coring device (10.2 cm diameter x 45 cm length) using the same sampling protocol previously published for the study area (Castañeda-Moya et al. 2011). After collection, root cores were processed individually and initially rinsed with water through a 1-mm screen mesh to remove soil particles. Live roots were separated manually based on their buoyancy, turgor, and color (Castañeda-Moya et al. 2011; Cormier et al. 2015; Medina-Calderon et al. 2021). Live roots were further sorted into three size diameter classes including fine (<2 mm), small (2-5 mm), and coarse (5-20 mm). Roots greater than 20 mm in diameter were not included in this study due to sampling limitations (i.e., core area). All root samples were oven-dried at 60°C to a constant mass and weighed to estimate root biomass (g m-2). Root productivity was estimated with the ingrowth core technique (Vogt et al., 1998) using the same sampling protocol previously published for the study area (Castañeda-Moya et al. 2011). Ingrowth cores (10.2 cm diameter x 45 cm length) were made of synthetic material (3 mm mesh) and filled with root-free commercial sphagnum peat moss. This material has similar soil properties (i.e., bulk density, organic matter content, total C and N) as mangrove peat in our study sites. Ingrowth cores were installed in each of the cored holes formed during sampling of root biomass. At each site, ingrowth cores were deployed vertically into the soil to a depth of 45 cm and retrieved one year later (June 2013). Root growth within the ingrowth core was used to estimate annual root production (g m-2 yr-1) in
PRW01 Fine root density and turnover based on root window observations
Eight root windows (40cm x 40cm) were used to measure fine root production and decay over three years in a 2 factor-factorial experiment (Burning, Mowing). Root lengths were traced every two weeks during the growing season. Production, disappearance and standing crops (lengths) were calculated by 10 cm increments.
Simulations from the SEIB-DGVM dynamic global vegetation model for the Vegetation Carbon Turnover Intercomparison
<p>Outputs from the SEIB-DGVM dynamic global vegetation model. One forced by CRU-NCEP v5 climate data for the period 1901-2014 and one forced by bias-corrected IPSL-CM5A-LR RCP 8.5 climate data for the period 1901-2099. Only potential natural vegetation was simulated, i.e. no human land-use. Both simulations are at 0.5 x 0.5 degree spatial resolution. Carbon turnover fluxes for live vegetation for each individual turnover-causing process in the model were outputted individually. For a full description of the simulations, please refer to the accompanying paper.</p>
FIG. 6 in Ecometrics and Neogene faunal turnover: the roles of cats and hindlimb morphology in the assembly of carnivoran communities in the New World
FIG. 6. — Ecometric plots of ankle gear ratio in carnivoran assemblages from the Arikareean (latest Oligocene and earliest Miocene) through the present. The mean and standard deviation of each assemblage is indicated by the broken line and grey bands respectively. Family-level classification of each species can be found in Appendix 6.
FIG. 1 in Ecometrics and Neogene faunal turnover: the roles of cats and hindlimb morphology in the assembly of carnivoran communities in the New World
FIG. 1. — Ankle gear ratio in Carnivoramorpha: A, plantarflexion in the carnivoran ankle joint (medial view). Black dot marks the approximate centre of rotation. Distance between dot and insertion of gastrocnemius is the approximate out-lever for plantarflexion. Scans of astragalus and calcaneum from Puma concolor (WRAZL 0210086); B, calcaneal anatomy and gear ratio (dorsal view); C, ecometric distribution of ankle gear ratio (y-axis) for 215 carnivormorphan species in rank order (x-axis). Felid and barbourofelid ratios are highlighted with black circles and stem lines. Horizontal broken line, mean value; grey band, 1 standard deviation. Colour coding matches Figure 2.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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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.
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