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371 results for “growth rate”
Growth Rates of Xanthoparmelia Lichens in North Cemetery, Petersham MA 2005-2011
Lichens fix carbon dioxide from the air to build biomass. Crustose and foliose lichens grow as nearly flat, circular disks. While smaller lichens grow slowly, but with small, steady increases in radial growth rates, larger lichens grow more quickly, with radial velocities that remain roughly constant over the lifetime of an individual. These basic features follow directly from a novel mathematical model based on the diffusion of carbon dioxide around a lichen, and its absorption by the thallus. Smaller lichens fix carbon dioxide across the entire thallus, but larger lichens fix carbon dioxide disproportionately at edges. Because local edges remain the primary source of carbon as a lichen grows ever larger, radial growth rates remain constant. Predicted growth dynamics depend on four measurable parameters, and tests of the model against data suggest the model provides an accurate, robust, and universal framework for understanding the growth dynamics of lichens in nature.
Greenhouse mixed culture experiment from August 2002 to April 2003 (FCE): Evaluate the effect of salinity and hydroperiod on interspecific mangrove seedlings growth rate (mixed culture) / Morphometric variables
A greenhouse experiment (mixed culture experiment) was performed for 8 months to evaluate the effect of salinity and hydroperiod on seedling growth rates of 2 mangrove species( Laguncularia racemosa and Rizhophora mangle). Data analyses are currently being performed.
Phytoplankton growth and microzooplankton grazing rates from NES-LTER transect cruises, ongoing since 2018.
Phytoplankton growth and microzooplankton grazing rates were measured from incubation experiments using the dilution method in the framework of the Northeast U.S. Shelf Long-Term Ecological Research project. The data set includes plankton population dynamics rates obtained during 12 cruises from winter 2018 (EN608) to summer 2022 (EN687) along a north/south transect from Martha’s Vineyard to the shelf-break. Phytoplankton growth and microzooplankton grazing rates were measured for the total phytoplankton community (chl-a concentrations) and for size fractions (chl-a size fractionation) less than and greater than 10 µm. Phytoplankton growth and microzooplankton grazing rates, the first trophic interaction between primary producers and higher trophic levels, are essential parameters to assess the cycling and export of carbon in the ocean and to better understand marine food webs.
Data and code release for Carleton, Cornetet, Huybers, Meng & Proctor (PNAS, 2020), "Global evidence for ultraviolet radiation decreasing COVID-19 growth rates"
<p>This upload contains all replication material for "Global evidence for ultraviolet radiation decreasing COVID-19 growth rates" (PNAS, 2020). Please note that previous versions of this upload provided data and code for the pre-print version of the article, which changed somewhat through the peer review process. </p> <p><strong>Authors:</strong> Tamma Carleton, Jules Cornetet, Peter Huybers, Kyle C. Meng, Jonathan Proctor.</p> <p><strong>Code is located within CCHMP_covid_climate_code_release.zip</strong>, and is written in R, Stata, and Matlab. The working directory should be set to the repository folder at the top of each script (all other filepaths are relative).</p> <p>Please find the code needed to replicate the main findings of the paper described below:</p> <ul> <li>Plots of data: R and Stata scripts to make figures 1B, 2A/B/C, S1, S2, and S3, can be found within “code/analysis/data_plots/”.</li> <li>Regression analysis: Stata scripts to run the distributed lag regressions and plot the results in figures 2, 3C, S5, S6, S7, S8, S10, and S14, as well as Table S1, can be found within “code/analysis/regressions/”. R scripts for data analysis and plotting for figures 3A/B and S9 are also within "code/analysis/regressions/".</li> <li>Seasonal simulations: R and Stata scripts to replicate the seasonal simulation shown in figures 4, S4 and S11 can be found within “code/analysis/seasonal_sim/”.</li> <li>SEIR simulations: Matlab scripts to replicate the SEIR simulations shown in figures S12 and S13 can be found within “code/analysis/SEIR/”.</li> </ul> <p><strong>Data are located within CCHMP_covid_climate_data_release.zip.</strong></p>
Sub-10 nm size-distribution data for "What controls the observed size-dependency of the growth rates of sub-10 nm atmospheric particles?"
<pre>Size-Distribution data from the CERN CLOUD experiment (Kirkby et al., 2011) measured with a DMA-train (Stolzenburg et al., 2017) Data acquired during the CLOUD10 (Fall 2015) and CLOUD12 (Fall 2017) campaigns. Data associated with the publication Kontkane et al. (2022). File name indicates the Experiment number as specified in Table 3, Kontkanen et al. (2022) and the internal CLOUD run numbers as given in Table S1, Kontaknen et al. (2022). Concentration of precursor gases are also given in these two Tables. Exp. 8 only used data from NAIS and is not included in this repository. Header indicates the diameter at which the size-distribution is measured. First column is time column with areadable timestamp in the format %Y-%m-%d %H:%M:%S. Data is dN/dlog_10 dp in unit cm^(-3). Full size-distribution (up to 400 nm) can be obtained from the author upon request. References: Kontkanen et al. (2022), What controls the observed size-dependency of the growth rates of sub-10 nm atmospheric particles?, Environ. Sci.: Atmos., accepted. Kirkby et al. (2011), Role of sulphuric acid, ammonia and galactic cosmic rays in atmospheric aerosol nucleation, Nature, 476, 429-433, http://dx.doi.org/10.1038/nature10343 Stolzenburg et al. (2017), A DMA-train for precision measurement of sub-10nm aerosol dynamics, Atmos. Meas. Tech., 10, 1639-1651, http://www.atmos-meas-tech.net/10/1639/2017/ </pre>
How is tree growth rate linked to root functional traits in phylogenetically related poplar hybrids?
<p>Fine roots play a crucial role in soil nutrient and water acquisition, significantly contributing to tree growth. Fine roots with a high specific root length (SRL) and small diameter are often considered to help trees grow fast. However, inconsistencies in the literature do not provide a clear basis on the effect of root functional traits, such as SRL or root mass density (RMD), on tree growth rate in phylogenetically related trees. Our aim was to examine relationships between tree growth rate and root functional traits, using clones displaying different growth rates in a hybrid poplar plantation located in New Liskeard, ON, Canada. Fine roots (diameter < 2 mm) samples were collected using soil cores at depths of 0–20, 20–40 and 40–60 cm, and analyzed for morphological, chemical and architectural traits. High SRL and thin fine roots were associated with the least productive clones, which is not consistent with the root economics spectrum (RES) theory. However, the most productive clone had larger fine root diameter and higher root lignin concentrations, probably reducing root construction and maintenance costs and C losses. Therefore, at the 0–20 and 20–40 cm depths, tree growth rates showed positive correlations with root diameter and root lignin concentrations, but negative correlations with SRL and root soluble compounds concentration. Increasing RMD at the 0–20 cm depth promoted tree growth rates, showing the importance of soil exploration in the topsoil for tree growth. We conclude that fine root variation does not always follow the RES hypothesis and argue that the rapid growth rate of trees may also be driven by fine root growth in diameter and mass in phylogenetically related trees.</p>
Data associated with the Tectonics manuscript "Building a Young Mountain Range: Insight into the Growth of the Greater Caucasus Mountains from Detrital Zircon (U-Th)/He Thermochronology and 10Be Erosion Rates"
<p>U-Pb and U-Th/He ages of zircons from a suite of detrital catchments reported in the manuscript "Building a Young Mountain Range: Insight into the Growth of the Greater Caucasus Mountains from Detrital Zircon (U-Th)/He Thermochronology and 10Be Erosion Rates" submitted to Tectonics. Repository includes sample locations and DEMs of each sampled catchment.</p>
Compound annual growth rate for software: replication package
<p>This repository contains the reproducibility package (software and data) for the following paper.</p> <p>Les Hatton, Diomidis Spinellis, and Michiel van Genuchten. The long-term growth rate of evolving software: Empirical results and implications. <em>Journal of Software: Evolution and Process</em>, 29(5), May 2017. <a href="http://dx.doi.org/10.1002/smr.1847">doi:10.1002/smr.1847</a></p> <p>The amount of code in evolving software-intensive systems appears to be growing relentlessly, affecting products and entire businesses. Objective figures quantifying the software code growth rate bounds in systems over a large time scale can be used as a reliable predictive basis for the size of software assets. We analyze a reference base of over 404 million lines of open source and closed software systems to provide accurate bounds on source code growth rates. We find that software source code in systems doubles about every 42 months on average, corresponding to a median compound annual growth rate (CAGR) of 1.21±0.01. Software product and development managers can use our findings to bound estimates, to assess the trustworthiness of road maps, to recognise unsustainable growth, to judge the health of a software development project, and to predict a system’s hardware footprint.</p> <p> </p>
Root Decomposition and root in-growth rates for GCE marsh sites 6-9 from June 2003 to June 2004
Rates of decomposition and root in-growth were measured in four tidal marshes of the Georgia coast (USA) that vary in freshwater input. Replicate nylon mesh bags containing roots of dominant plant species were buried 20cm deep in marsh sediments at stream-side levee and marsh plain locations within GCE sampling sites 6, 7, 8 and 9 in June 2003. Dry weight, carbon, nitrogen and phosphorus content, and root in-growth were measured initially and every three months to evaluate the effects of freshwater input on root decomposition and growth rates. This study was part of the GCE-LTER soil monitoring program.
NIMROD growth rates (1/s) by finite element poly_degree (columns) and case from "The Impact of Collisionality, FLR and Parallel Closure Effects on Instabilities in the Tomakak Pedestal: Numerical Studies with the NIMROD code”
<p>NIMROD growth rates (1/s) by finite element poly_degree (columns) and case from "The Impact of Collisionality, FLR and Parallel Closure Effects on Instabilities in the Tomakak Pedestal: Numerical Studies with the NIMROD code” as submitted to Physics of Plasmas</p>
data for paper: Predator-induced defense decreases growth rate and photoprotective capacity in a nitrogen-limited dinoflagellate
<p>this is the data for paper "Predator-induced defense decreases growth rate and photoprotective capacity in a nitrogen-limited dinoflagellate" </p>
Fig. 8 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 8. Comparison of centrum length/centrum height across Phocoenidae. A. Extinct species: Numataphocoena yamashitai, NFL 7, NMV-5; Pterophocaena nishinoi, NMV-7; Piscolithax longirostris, MNHN SAS 940. B. Extant species: Neophocaena phocaenoides, NMNS M 21382; Phocoenoides dalli, NMNS M 21382; Phocoena phocoena, NMNS M 27393; Phocoena dioptrica, USNM 571486; Phocoena spinipinnis, USNM 550782; Phocoena sinus, NHMUK 69678 (from Noble and Fraser 1971).
Fig. 7. Vertebral character trait evolution across phocoenids and related delphinoids. A. Character 2, thoracic vertebral counts. B. Character 8 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 7. Vertebral character trait evolution across phocoenids and related delphinoids. A. Character 2, thoracic vertebral counts. B. Character 8, ratio of centrum length/centrum height of lumbar vertebrae. C. Character 12, height of neural spine. D. Character 14, regional anterior inclination of neural arches. See Table 2 for detailed character descriptions.
Fig. 5 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 5. The phylogeny and vertebral morphology of Phocoenidae. The phylogenetic analysis is based on the data matrix of Murakami et al. (2012b), excluding character 220, 221, 222, 224, and 227. Quotations added to taxa which are paraphyly or polyphyly in the present cladistic analysis.
Fig. 4 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 4. Vertebrae (A–E) and ribs (F, G) of the porpoise Phocoenidae gen. et sp. indet., NMV-5, early Pliocene of Teshio, Hokkaido, Japan. Cervical (1–7), thoracic (1, 3, 5, 7, X, XX, XXX, last-1, last), and lumbar vertebrae (1–3) in lateral (A) and dorsal (B) views; atlas (C), axis (D), first lumbar (E), left rib fragment (F), and anterior to central right ribs (G) in anterior view.
Fig. 2 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 2. The rostrum (A–D) and mandible (E, F) of the porpoise Phocoenidae gen. et sp. indet., NMV-5, early Pliocene of Teshio, Hokkaido, Japan; in dorsal (A, F), lateral (B, E), ventral (C), and anterior (D) views.
Fig. 3 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 3. Isolated teeth of the porpoise Phocoenidae gen. et sp. indet., NMV-5, early Pliocene of Teshio, Hokkaido, Japan; in buccal view (A, B); longitudinal cross section of B (C); cross section from C stained with Mayer's haematoxylin (D). GLG, growth layer group.
Fig. 1 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 1. The locality of a small porpoise NMV-5. A. The Japanese islands. B. The locality of NMV-5. C. Detailed locality of NMV-5 near the Teshionakagawa area.
Fig. 6 in New fossil remains from the Pliocene Koetoi Formation of northern Japan provide insights into growth rates and the vertebral evolution of porpoises
Fig. 6. Comparisons of the vertebral column of living and extinct phocoenids in lateral view. A. Pterophocaena nishinoi Murakami, Shimada, Hikida, and Hirano, 2012a, late Miocene of Hokkaido, Japan, NMV-7. B. Numataphocoena yamashitai Ichishima and Kimura, 2000, early Pliocene of Hokkaido, Japan, NFL 7. C. Piscolithax aenigmaticus Pilleri and Siber, 1989, late Miocene of Aguada de Lomas of Peru, SMNK-PAL 6660. D. Piscolithax longirostris Muizon, 1983, late Miocene of Sud-Sacaco, → Peru, MNHN SAS 934. E. Neophocaena phocaenoides Cuvier, 1829, Holocene of Japan?, NMNS M 24659. F. Phocoena sinus Norris and McFarland, 1958, Holocene of Baja California, Mexico, LACM 28259. G. Phocoena spinipinnis Burmeister, 1865, Holocene of Peru, USNM 550782. H. Phocoena dioptrica Lahille, 1912, Holocene of Tierra del Fuego, Argentina, LACM 86042. I. Phocoena phocoena Linnaeus, 1758, Holocene of Hokkaido, Japan, NMNS M 27393. J. Phocoenoides dalli True, 1885, Holocene of Iwate, Japan, NMNS M 21382. Not to scale.
Particle trajectories - Freilich et al. "Diversity of growth rates maximizes phytoplankton productivity in an eddying ocean"
<p>The files provided here are the offline particle trajectories analyzed in Freilich, Flierl, and Mahadevan “Diversity of growth rates maximizes phytoplankton productivity in an eddying ocean”</p> <p>Both files are sqlite databases containing information about the same particle trajectories which are identified by the variable “iD”</p> <p> </p> <p>ini_day135_z115_forward_biology.db contains nutrient concentration on particle trajectories. A different biological rate lambda is used for each variable denoted NX where X is 0-13. The rates are: 0.015,0.075,0.15,0.3,0.75,1.5,3,10,15,20,50,75,100,120</p> <p>The variable DOY is the model day. </p> <p> </p> <p>ini_day135_z115_physical_forward.db contains the physical variables on particle trajectories. The variables are:</p> <p>x - east-west position</p> <p>y - north-south position</p> <p>z - vertical position</p> <p>u - east-west velocity</p> <p>v - north-south velocity</p> <p>w - vertical velocity</p> <p>vorticity - vertical component of relative vorticity</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.