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458 results for “incubation”
Bergtold, 1917: Incubation Periods of Birds
Bergtold, William Harry. A Study of the Incubation Periods of Birds; What Determines Their Lengths,. Denver, Col.: Kendrick-Bellamy, 1917.<p></p>Bergtold, William Harry. A Study of the Incubation Periods of Birds; What Determines Their Lengths,. Denver, Col.: Kendrick-Bellamy, 1917.
Comparative metabolomics of fruits and leaves in a hyperdiverse lineage suggests fruits are a key incubator of phytochemical diversification
<p>Data files, chromatograms, and metadata for the Frontiers in Plant Science article "Comparative metabolomics of fruits and leaves in a hyperdiverse lineage suggests fruits are a key incubator of phytochemical diversification" . </p> <p>doi: 10.3389/fpls.2021.693739</p>
Laboratory toxicity incubation experiments on phytoplankton using trace metals (Cu, Cd, Zn)
<p>This data compilation contains previously published toxicity threshold concentrations of copper, cadmium and zinc for different phytoplankton, as determined by incubation experiments. The data was recalculated to nmol/L for consistency, assuming the following molar masses of copper, cadmium and zinc as 63.546, 112.411 and 65.380 g/mol, respectively, and salinity as 1.025 kg/L. The growth medium is included in the dataset, as well as the environment where the phytoplankton in question may commonly occur (open or coastal ocean). </p>
Increased egg shell temperature during incubation leads to changes in transcriptional and epigenetic profiles in chicken lungs
<p>These RDS files contain <strong>DESeqDataSet </strong>objects subsets per broiler age and treatment. These objects are the result of DESeq2::DESeq( … ,betaPrior=FALSE).The .txt-objects contain the normalized sequencing counts per broiler age and treatment group. These objects are the result of DESeq2::counts( … , normalized=TRUE). Data was generated using STAR v2.7.10a and DESeq2 v1.36. Metadata is included as Excel file.</p> <p>Sequencing data is deposited at NCBI-SRA under BioProject: PRJNA949139. </p> <p> </p> <p><strong>Study abstract</strong></p> <p>D. Schokker, J. de Vos, P.B. Stege, O. Madsen, H.J. Wijnen, S.K. Kar, and J.M.J. Rebel</p> <p>Health and resilience against respiratory diseases are important features for broiler chicken. In this study, epigenetic and transcriptomic changes in the lungs of broiler chickens of different ages during rearing that were either exposed to elevated egg shell temperature (HIGH) of 38.9°C during mid-incubation or normal egg shell temperature (control; CON). The objective was to better understand how environmental challenges, such as heat stress during egg incubation, affect the development of the immune system and health of broiler chicken at later age. To this end we generated both epigenetic and transcriptomic data of lung tissue of elevated HIGH and CON chicken, furthermore these chicken were challenged by introducing either an infectious E. coli or an IBV vaccination to monitor the respiratory response. Thousands of differential methylated sites were observed at days 15 and 33, when comparing HIGH vs. CON. Pathway enrichment analysis of HIGH vs. CON showed that differentially expressed genes were mainly involved in cilium, cytoskeleton, and immune processes. These findings provide insight into the underlying biological mechanisms of early life conditions, like elevated EST, and their potential role in health of broilers.</p>
Dataset: Green light during incubation: effects on hatching characteristics in brown and white laying hens
<p>Dataset used for the paper "Green light during incubation: effects on hatching characteristics in brown and white laying hens".<br> <br> Abstract:</p> <p>Providing light during incubation is being investigated as a method to improve welfare in later life in poultry. This incubation method would more closely approximate chicken natural environment compared to the current incubation in darkness. Previous studies showed promising results of light during incubation on broiler welfare, but little is known about effects of light during incubation on laying hens. Especially, information about its effects on hatching characteristics (hatch time, hatchability, chick quality, body weight and embryonic age of death) is scarce and requires investigation in both white and brown egg layers. In the current study, Dekalb White (DW) and ISA Brown (ISA) eggs were incubated in complete darkness (dark) or in a light:dark cycle of 12L:12D throughout incubation (light), resulting in four treatment groups: DW-dark, DW-light, ISA-dark, and ISA-light. In the light treatments, green LEDs of 520nm wavelength were used, at an intensity of 400 lux. First, light transmission through the eggshell was measured through 27 eggs. Then, an analysis of the effects of light during incubation on hatching characteristics was performed on 711 chicks in two consecutive experimental rounds. Light transmission was higher through white eggshells than through brown eggshells (N = 27, p < 0.001). Light during incubation had no effects on hatching characteristics (N = 711, p ≥ 0.1). Despite the difference of light transmission through eggshell between hybrids, there was no interaction between incubation treatment and hybrid on hatching characteristics (N = 471, p ≥ 0.06). Hatch time was longer and navel quality was better in DW than in ISA, while body weight and embryonic age of death were lower in DW than in ISA (all p < 0.001). Males and females had similar chick quality scores except for the beak quality, which was better for males (N = 486, p = 0.003). To conclude, green light during incubation did not negatively affect hatching characteristics in either DW nor ISA laying hen hybrids. Future research should therefore focus on its potential benefits for laying hen welfare.</p>
Experimental microcosm incubations assessing the effect of hypoxia on aqueous iron and organic carbon, pH, sediment organic carbon, and sediment iron-bound organic carbon
To assess the effect of changing oxygen concentrations on coupled carbon and iron cycling in freshwater ecosystems, we performed 6-week microcosm incubations. Incubations were inoculated with sediment and water from Falling Creek Reservoir, Vinton, VA, USA. We started the experiment with 102 microcosms split evenly into oxic and hypoxic treatments. After two weeks, we switched the treatment of approximately half of the remaining microcosms, generating a total of four oxygen regimes: hypoxic, oxic, hypoxic to oxic, and oxic to hypoxic. We sampled the microcosms destructively approximately twice per week, collecting aqueous samples for total and dissolved carbon and iron, as well as sediment samples for organic carbon and iron-bound organic carbon analysis. Iron-bound organic carbon was determined using citrate-bicarbonate-dithionite extractions.
Respiration, isotope composition, and carbon source partitioning from incubations of soil amended with litter and isotope-labeled lignin
We incubated 10 forest soils (collected from sites across North America, including the Luquillo LTER/CZO) in the laboratory for over two years to quantify the decomposition of carbon derived from added litter and lignin, as well as from extant soil organic matter. Each soil was subjected to two substrate addition treatments: a) litter derived from a C4 grass precipitated with 13C-enriched lignin, or the same C4 grass litter was precipitated with natural-abundance lignin. The concentrations and delta13C composition of carbon dioxide produced from each soil were measured periodically over time and partitioned into sources (soil organic matter, litter, and added lignin) using isotope mixing models. The methods and results are described in detail by a manuscript in Ecology (Hall et al., 2020).
Grassland and mesquite shrubland soil nitrogen mineralization potential from leaching soil incubations at the Jornada Basin LTER, 1986
This data package contains data on soil nitrogen mineralization potential in a variety of grass and mesquite habitats during the early years of the Jornada Basin LTER project (I-II). Soil cores were collected from Jornada Experimental Range and Chihuahuan Desert Rangeland Research Center (CDRRC) lands in May 1986, and observed in a leaching incubation study. The purpose of this study was to measure inorganic soil nitrogen in the context of the shift from grasslands to mesquite dominated ecosystems. Sites include fluff grass (Dasyochloa pulchella), black grama (Bouteloua eriopoda), Sporobolus/Gutierrezia, playa mesquite (Prosopsis glandulosa), and arroyo mesquite ecosystem types. Soil samples were collected on May 12-13, 1986 within the clumps of grass or beneath mesquite at each site, generally 20 cm deep or to the hard pan (whichever came first). During the incubation study, inorganic nitrogen leaching was measured for 28 weeks for each sample. This study is complete.
KM1709_Mesoscope_B12_Incubations_HILICMode
<p>KM1709 Mesoscope B12 Incubations HILIC (Positive and Negative). These are targeted metabolite peak areas, representative of abundance values taken.The samples were taken from each of the two dipoles of a mesoscale eddy near Station Aloha and incubated for four days. Incubation #1 was the cyclonic dipole, while Incubation #2 was the anticyclonic dipole. Six conditions were created for each of the samples. T0: In situ condition at the start of the experiment, aka time 0. Water that was filtered, not incubated, and frozen. Control (Tfinal): 100% in situ water from 25 m, incubated and then filtered. Deep Sea Water mix: 10% Deep Sea Water (DSW) taken from 700 m, filtered and evenly mixed with 90% in situ water from 25 m. This mixture was then incubated and filtered. +B12: 25 m water spiked with 800 ul of B12 for a final concentration of ~240 pM, incubated, filtered. - B12: 25 m water spiked with trace metals (iron, Si, PO4, NO3) and no B12, incubated, filtered. +DMB, -B12: 25 m water with the same conditions of the -B12 state, but with an added spike of 5,6-dimethylbenzimidazole (DMB). +DMB: 25 m water spiked with 800 ul of DMB for a final concentration of 240 pm, incubated, filtered. Samples from KM1709 (MESO-SCOPE 2017) were collected and produced by the Ingalls Lab as part of the Simons Gradients project with support from the Simons Foundation.</p>
Dataset for article "Performance and Efficiency Evaluation of Technology-Based Business Incubators: A Systematic Literature Review"
<p>Dataset for article entitled "<strong>Performance and Efficiency Evaluation of Technology-Based Business Incubators: A Systematic Literature Review"</strong></p>
Data from: Soil incubation methods lead to large differences in inferred methane production temperature sensitivity
<p>Quantifying the temperature sensitivity of methane (CH4) production is crucial for predicting how wetland ecosystems will respond to climate warming. Typically, the temperature sensitivity (often quantified as a Q10 value) is derived from laboratory incubation studies and then used in biogeochemical models. However, studies report wide variation in incubation-inferred Q10 values, with a large portion of this variation remaining unexplained. Here we applied observations in Stordalen Mire, a thawing permafrost peatland, and a well-tested process-rich model, ecosys, to interpret incubation observations and investigate controls on inferred CH4 production temperature sensitivity. We developed a Field-Storage-Incubation (FSI) modeling approach to mimic the full incubation sequence, including field sampling at a particular time in the growing season,refrigerated storage, and the laboratory incubation process, followed by model evaluation. We found that CH4 production rates during incubation are regulated by seasonally-dependent substrate availability and active microbial biomass of key microbial functional groups. Applying a model sensitivity analysis, we found that storage duration, storage temperature, and field sampling time significantly affect CH4 production during incubation. Shorter storage duration and lower storage temperature led to larger CH4 production during incubation. Our findings revealed a wide range of inferred Q10 values (1.2 to 3.5), which we attribute to incubation temperatures, incubation duration, storage duration, and sampling time. Q10 of CH4 production is controlled by many interacting biological, biochemical, and physical processes, which cause the aggregated Q10 values to differ from those of the component processes. Terrestrial ecosystem models that use a constant Q10 value to represent temperature responses may therefore predict biased soil carbon cycling under future climate scenarios.</p> <p>This dataset includes all the data used to plot figures in the manuscript, including Fig.2-6 and Fig.S2-S11. Each sheet in the aggregated spreadsheet corresponds to one figure in the manuscript. The simulation experiment setup and analyses are thoroughly described in the manuscript. Here we provide a brief summary. The data includes field greenhouse gas observations and laboratory incubation measurements of CH4 production in Stordalen Mire. These datasets were already published and references were provided in the manuscript and spreadsheet. The data also includes simulation data, including modeled cumulative CH4 production, CH4 production rates, substrate concentrations, and active microbial biomass under different incubation temperature, sampling time and storage conditions. This data also includes inferred temperature sensitivity of CH4 production as Q10 values under different scenarios. Please refer to the manuscript for more detailed information.</p> <p>Please see "Related works" at the bottom of this page and the "References" tab in the spreadsheet for a full list of source datasets and associated publications.</p> <p> </p> <p>FUNDING:</p> <p>This research is a contribution of the EMERGE Biology Integration Institute, funded by the National Science Foundation, Biology Integration Institutes Program, Award # 2022070.</p> <p>We thank the Swedish Polar Research Secretariat and SITES for the support of the work done at the Abisko Scientific Research Station. SITES is supported by the Swedish Research Council’s grant 4.3-2021-00164. This research used resources of the National Energy Research Scientific Computing Center (NERSC) which is a U.S. Department of Energy Office of Science user facility. This research used the Lawrencium computational cluster resource provided by the IT Division at the Lawrence Berkeley National Laboratory (Supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231). Incubation and field observation data were collected under the IsoGenie Project, which was funded by the Genomic Science Program of the United States Department of Energy Office of Biological and Environmental Research, grant #s DE-SC0004632, DE-SC0010580, and DE-SC0016440.</p>
Operating diagram of IF incubator, two identical incubators were used for eggs that were already sorted. They are made up of an isothermal enclosure and contain three tiers (100 × 60 × 17 cm). The water circulating in each tier comes from the same filtration, cooling and sterilisation device. As a result, the eggs placed in the different tiers are subject to the same temperature regime. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of IF incubator, two identical incubators were used for eggs that were already sorted. They are made up of an isothermal enclosure and contain three tiers (100 × 60 × 17 cm). The water circulating in each tier comes from the same filtration, cooling and sterilisation device. As a result, the eggs placed in the different tiers are subject to the same temperature regime.
Operating diagram of the incubator, two tiered modules contain six independent incubators. Three shallow hatching are (220 × 60 × 17 cm) stacked on top of each other to create a compact assembly in which each tier functions independently. Eighteen trays covered with eggs can be placed in each tier, allowing the simultaneous incubation of seven to nine lays. in Reproduction of Zingel asper (Linnaeus, 1758) in controlled conditions: an assessment of the experiences realized since 2005 at the Besançon Natural History Museum
Operating diagram of the incubator, two tiered modules contain six independent incubators. Three shallow hatching are (220 × 60 × 17 cm) stacked on top of each other to create a compact assembly in which each tier functions independently. Eighteen trays covered with eggs can be placed in each tier, allowing the simultaneous incubation of seven to nine lays.
Resource allocation underlies parental decision-making during incubation in the Manx shearwater
<p>Examining resource allocation is fundamental to understanding the relationships between a species' behaviour and its life history. Furthermore, for biparentally-caring animals, examining the relative investment decisions made by members of a breeding pair can give insight into the extent and nature of cooperative care. As a key measure of resource availability, examining body mass changes can help elucidate the ways in which parents balance their allocation. In birds, these trade-offs become particularly stark during incubation, as maintaining constant egg warming usually requires one parent to fast. This period therefore represents a key opportunity to investigate investment decisions. We took daily measurements of body mass from breeding Manx shearwaters, a biparentally-caring seabird, during incubation, and related this to measures of nest attendance and behaviour collected using field observations and miniaturised biologgers. We investigated how changes in body mass related to the decisions made at the nest and at sea, whether this differed between the sexes, and whether pair experience influenced incubation behaviour. We found that while body mass predicted the probability that incubating birds would choose to temporarily desert the nest, incubation shift duration was ultimately set by return of the foraging bird. The trip durations of foraging birds in turn were primarily dictated by their body mass reserves on departure from the nest. However, foragers appeared to account for the condition of the incubating partner, returning from sea earlier when their partner was in poor condition. Our results contribute to understanding the mechanisms by which individuals regulate both their own and their partner's incubation behaviour, with implications for interacting with fine-scale resource availability.</p> <p> </p>
Fig. 2 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 2. The abundance and biomass of ciliate taxa in the four treatments. The samples were collected on days 1, 5, 10, and 15.
Fig. 5 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 5. Dynamics of some dominant ciliate species during the experiment. The samples were collected on days 1, 5, 10, and 15. *Padj <0.008333, **Padj <0.001667
Fig. 6 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 6. Microphotographs of some common ciliates stained with the QPS approach during the experiment. (a) Askenasia acrostomia, (b) Askenasia chlorelligera, (c) Balanion planctonicum, (d) and (e) Codonella cratera, (f) Pseudostrombidium planctonticum, (g) and (i) Rimostrombidium lacustris, (h) Tintinnidium pusillum, (j) Rimostrombidium hyalinum, (k) Rimostrombidium brachykinetum, (l) Urotricha farcta, (m) Halteria sp., (n) Cyclidium sp., (o) Pelagostrombidium mirabile, (p) Limnostrombidium viride. All photographs were taken with an Olympic DP73 digital camera mounted on an Olympic BX51 light microscope. Scale bar equals 10 μm.
Fig. 3 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 3. Ciliate abundance and biomass by classification of body size. Small, medium, and large ciliates refer to a ciliate biovolume of <3000, 3000–5000, and> 5000 μm3, respectively.
Fig. 1 in The Impacts of Crustacean Zooplankton on a Natural Ciliate Community: a Short-term Incubation Experiment
Fig. 1. The initial (d1) and final (d15) biomass of algae (a) and final abundance of rotifers (b) in the four treatments.
Fig. 6 in The First Experience In New Technologies Of Breeding And Semi-Natural Eggs Incubation Of Northern Emys Orbicularis In Glass-House Aquaculture In Latvia
Fig. 6. Temperature condition and different forms of behaviour, observed in the experiment for the first time.
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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.