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518 results for “cycling data”

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dryad40/100

Data for: Emigration and survival correlate with different precipitation metrics throughout a grassland songbird's annual cycle

<p>Many exogenous factors may influence demographic rates (i.e., births, deaths, immigration, emigration), particularly for migratory birds that must cope with variable weather and habitat throughout their range and annual cycle. In midcontinental grasslands, disturbance (e.g., fire and grazing) and precipitation influence variation in grassland structure and function, but we know little about when and why precipitation is associated with grassland species' vital rates. We related estimates of detection, survival, and emigration to <em>a priori </em>sets of precipitation metrics to test the putative alternative factors influencing movement and mortality in grasshopper sparrows (<em>Ammodramus savannarum</em>). This species is a migratory songbird that exhibits exceptionally high rates of within-season and between-season dispersal. Between 2013 and 2020, we captured and resighted grasshopper sparrows in northeastern Kansas, USA, compiling capture histories for 1,332 adult males. We tested predictions of climatic hypotheses explaining variation in survival and emigration throughout a grasshopper sparrow's annual cycle; both survival and emigration were associated with the El Niño-Southern Oscillation precipitation index (ESPI). Survival was positively related with ESPI during winter, and temporary emigration was curvilinearly related to breeding season ESPI lagged 2 years, with the highest site fidelity associated with intermediate rainfall values. The relationship between rainfall and temporary emigration likely reflects the influence of weather over multiple years on vegetation structure with consequent effects on local demography. This study provides compelling support for the idea that grassland species respond to high interannual variability by adopting dispersal strategies unlike those of many well-studied migrant birds. Furthermore, the results imply that the consequences of increasing climatic extremes may not be immediately apparent, with demographic consequences lasting for at least a few years.</p>

opencc-zeroMar 2023View details →
zenodo40/100

A novel R744 multi-temperature cycle for refrigerated transport applications with low-temperature ejector: experimental ejector characterization and thermodynamic cycle assessment - Ejector experimental data

<p>Experimental data obtained during the characterization of a R744 ejector in low-temperature suction operating conditions.</p> <p>The complete description of the experimental setup and of the R744 cooling unit concept designed to employ the tested ejector, as well as the discussion on the experimental data, are available in:</p> <p>Fabris, F.,&nbsp;&nbsp;Pardi&ntilde;as,&nbsp;&Aacute;.&nbsp;&Aacute;., Marinetti, S., Rossetti, A., Hafner, A., Minetto, S. (2023).&nbsp;A novel R744 multi-temperature cycle for refrigerated transport applications with low-temperature ejector: experimental ejector characterization and thermodynamic cycle assessment. International Journal of Refrigeration.</p>

opencc-by-4.0Mar 2023View details →
zenodo40/100

Supplemental Data for Schalich et al.: The Uterine Secretory Cycle

<p>This dataset file contains supplemental Table S1 with several spreadsheets that describe the changing uterine microenvironment during the estrous cycle and early preimplantation stages of pregnancy in cattle. These data were acquired and organized as part of a report entitled &quot;<strong>The uterine secretory cycle: recurring physiology of endometrial outputs that setup the uterine luminal microenvironment</strong>&quot;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Data for "Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources"

<p>Supplementary figures and raw data associated with the publication &quot;Symbiotic nutrient cycling enables the long-term survival of Aiptasia in the absence of heterotrophic food sources&quot;. Data for physiological and NanoSIMS measurements are uploaded as individual sheets/tabs in the .xslx file.&nbsp;</p> <p>&quot;Fig. 1&quot; contains data for physiological measurements (biomass, protein content, and symbiont density) of fed and starved Aiptasia.&nbsp;</p> <p>&quot;Fig. 2&quot; contains data for NanoSIMS measurements for regions of interest from the tissue of fed and starved Aiptasia as well as unlabelled control Aiptasia.&nbsp;</p> <p>The R script contains all code required to repeat the data analysis and plotting.</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2022View details →
dryad40/100

Data from: The role of fish feces for nutrient cycling on coral reefs

<p>Consumers play an important role in biogeochemical cycles through the consumption and release of essential elements such as carbon (C), nitrogen (N), and phosphorus (P). Indeed, a large proportion of consumed elements are released into the environment in inorganic (i.e., excretion) or organic form (i.e., egestion). On coral reefs, fishes represent the bulk of consumer biomass and thus play a key role in the recycling of nutrients. In recent years, excretion rates have been studied intensively, but less is known about the rate and quality of coral reef fish egestion. In this study, we quantify the elemental contents of fish feces, estimate absorption efficiencies and compare egestion and excretion rates for 51 coral reef fish species. We show that elemental concentrations decrease remarkably little from food to feces. This is due to extremely low absorption efficiencies, resulting in the egestion of large amounts of energy and nutrients. Moreover, we show that while the quality of fish feces varies across trophic guilds, it remains highly variable within trophic guilds. Finally, we demonstrate that the release of N and P through egestion outweighs the amount of nutrients recycled through excretion. Our study highlights the need to incorporate animal egestion into assessments of ecosystem functioning and food web structure.</p>

opencc-zeroJun 2023View details →
zenodo40/100

Data set for the journal article: Social life cycle assessment of green methanol and benchmarking against conventional fossil methanol

<p>Single File containing:</p> <ul> <li>Green Methanol Inventories: numerical data as displayed in Figure 4,&nbsp;Main social life cycle inventory data of the green methanol system.&nbsp;</li> <li>Conventional Methanol Inventories:&nbsp;numerical data as displayed in Figure 5,&nbsp;Main social life cycle inventory data of the conventional&nbsp;methanol system.&nbsp;</li> <li>Supplementary information: Diagrams and tables describing teh flowsheet of the simulations used in this work: <ul> <li> <p>Green methanol production process (flowsheet and stream table)</p> </li> <li> <p>Syngas production through Steam Methane Reforming (flowsheet and stream table)</p> </li> <li> <p>Conventional methanol production process (flowsheet and stream table)</p> </li> </ul> </li> </ul>

opencc-by-4.0Jun 2023View details →
zenodo40/100

Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia

<p><strong>Title:&nbsp; </strong>Data from a tidal cycle continuous survey using ADCP and CTD in Sand Shoal Inlet, Virginia.</p> <p><strong>Author/Data Collector: </strong>Chunyan Li</p> <p><strong>Point of Contact, PI, Originator:&nbsp; </strong>Chunyan Li (cli@lsu.edu)</p> <p>These are data files from a 12.5-hour continuous survey done in Sand Shoal Inlet in Eastern Shore of Virginia on the Delmarva Peninsula on May 12, 1999.</p> <p>The ADCP data files are:&nbsp;SS01002T.000,&nbsp;SS01003T.000, and&nbsp;SS01004T.000.</p> <p>The CTD data files are named as&nbsp;SNDSHL**.CNV (a total of 33 files).</p> <p>&nbsp;</p> <p>ADCP data are measured from the RDI&rsquo;s old program Transect.</p> <p><em>Ship Track:</em>&nbsp; Repeated samplings of ADCP were made along four transects connected by four points:</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [1] 37 17.918 N,&nbsp; 75 48.596 W</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [2] 37 18.344 N,&nbsp; 75 48.248 W</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [3] 37 17.884 N,&nbsp; 75 47.981 W</p> <p>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; [4] 37 18.054 N,&nbsp; 75 47.664 W</p> <p><em>CTD stations:</em></p> <p><em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; {1} 37 18.174 N,&nbsp; 75 48.378 W</em></p> <p><em>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; {2} 37 17.978 N,&nbsp; 75 47.787 W</em></p> <p><em>&nbsp;Cast # &nbsp; Station #<br> &nbsp; 00 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 01 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 02 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 03 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 04 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 05 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 06 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 07 &nbsp; &nbsp; &nbsp; &nbsp; n/a &nbsp;extra cast at ADCP [2]<br> &nbsp; 08 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 09 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 10 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 11 &nbsp; &nbsp; &nbsp; &nbsp; n/a &nbsp;extra cast north of a front<br> &nbsp; 12 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 13 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 14 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 15 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 16 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 17 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 18 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 19 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 20 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 21 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 22 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 23 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 24 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 25 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 26 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 27 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 28 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 29 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 30 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 31 &nbsp; &nbsp; &nbsp; &nbsp; 2<br> &nbsp; 32 &nbsp; &nbsp; &nbsp; &nbsp; 1<br> &nbsp; 33 &nbsp; &nbsp; &nbsp; &nbsp; 2</em><br> &nbsp;</p> <p><strong>ACKNOWLEDGEMENTS</strong></p> <p>Thanks to Arnoldo Valle-Levinson and Larry Atkinson for the research support. The field trip participants included Cristobal Creyes, Bob Bray, RC Kidd, Rosario Sanay, Kris Holderied, Andres Sepulveda as well as a person by the first name Wildo. The data were used in Li (2002).</p> <p><strong>References</strong></p> <p>Li, C. (2002). Axial convergence fronts in a barotropic tidal inlet - Sand Shoal Inlet, VA, <em>Continental Shelf Research</em>, 22: 2633-2653. <a href="https://doi.org/10.1016/S0278-4343(02)00118-8">https://doi.org/10.1016/S0278-4343(02)00118-8</a>.</p>

opencc-by-4.0Dec 2022View details →
zenodo40/100

Data used in the PhD dissertation entitled "Hidden beneath the surface: Microbial methane cycling in Dutch urban canals"

<p>Data used for the figures presented in the PhD dissertation of KAJ Pelsma, entitled &quot;Hidden beneath the surface: Microbial methane cycling in Dutch urban canals&quot;. The chapters to which each file corresponds is indicated in each file name.</p>

opencc-by-4.0Jul 2023View details →
zenodo40/100

Supplementary Data to: "Quantifying sub-seasonal growth rate changes in fossil giant clams using wavelet transformation of daily Mg/Ca cycles" in Geochemistry, Geophysics, Geosystems

<p>El/Ca data and high resolution images of 3 laser-ablation tracks on a fossil giant calm. The following Isotopes were monitored <sup>11</sup>B, <sup>23</sup>Na, <sup>24</sup>Mg, <sup>27</sup>Al, <sup>43</sup>Ca, <sup>88</sup>Sr, <sup>89</sup>Y and <sup>138</sup>Ba. The data was measured with laser-ablation inductively coupled plasma mass spectrometry (LA-ICPMS) using a 3 x 33 &micro;m laser slit. El/Ca ratios were calibrated using NIST SRM 612 as bracketing external standard (Jochum et al., 2011) with updated Mg values from Evans &amp; M&uuml;ller (2018) and <sup>43</sup>Ca as the internal standard; data quantification follows Longerich et al. (1996) and was performed using the software iolite 4 (Paton et al., 2011). For details see main text.</p> <p>References:</p> <p>Evans, D., &amp; M&uuml;ller, W. (2018). Automated Extraction of a Five-Year LA-ICP-MS Trace Element Data Set of Ten Common Glass and Carbonate Reference Materials: Long-Term Data Quality, Optimisation and Laser Cell Homogeneity. <em>Geostandards and Geoanalytical Research</em>, <em>42</em>(2), 159&ndash;188. https://doi.org/10.1111/ggr.12204</p> <p>Jochum, K. P., Weis, U., Stoll, B., Kuzmin, D., Yang, Q., Raczek, I., Jacob, D. E., Stracke, A., Birbaum, K., Frick, D. A., G&uuml;nther, D., &amp; Enzweiler, J. (2011). Determination of Reference Values for NIST SRM 610&ndash;617 Glasses Following ISO Guidelines. <em>Geostandards and Geoanalytical Research</em>, <em>35</em>(4), 397&ndash;429. https://doi.org/10.1111/j.1751-908X.2011.00120.x</p> <p>Longerich, H. P., Jackson, S. E., &amp; G&uuml;nther, D. (1996). Inter-laboratory note. Laser ablation inductively coupled plasma mass spectrometric transient signal data acquisition and analyte concentration calculation. <em>Journal of Analytical Atomic Spectrometry</em>, <em>11</em>(9), 899&ndash;904. https://doi.org/10.1039/JA9961100899</p> <p>Paton, C., Hellstrom, J., Paul, B., Woodhead, J., &amp; Hergt, J. (2011). Iolite: Freeware for the visualisation and processing of mass spectrometric data. <em>Journal of Analytical Atomic Spectrometry</em>, <em>26</em>(12), 2508&ndash;2518. https://doi.org/10.1039/C1JA10172B</p>

opencc-by-4.0Jul 2023View details →
dryad40/100

Data from: Transgression-regression cycles drive correlations in Ediacaran-Cambrian rock and fossil records

<p>Strata of the Ediacaran Period (635-538.8 Ma) yield the oldest known fossils of complex, macroscopic organisms in the geologic record. These "Ediacaran-type" macrofossils (known as the Ediacaran biota) first appear in mid-Ediacaran strata, experience an apparent decline through the terminal Ediacaran, and directly precede the Cambrian (538.8-485.4 Ma) radiation of animals. Existing hypotheses for the origin and demise of the Ediacaran biota include: changing oceanic redox states, biotic replacement by succeeding Cambrian-type fauna, and mass extinction driven by environmental change. Few studies frame trends in Ediacaran and Cambrian macroevolution from the perspective of the sedimentary rock record, despite well-documented Phanerozoic covariation of macroevolutionary patterns and sedimentary rock quantity. Here we present a quantitative analysis of North American Ediacaran–Cambrian rock and fossil records from Macrostrat and the Paleobiology Database. Marine sedimentary rock quantity increases nearly monotonically and by over a factor of five from the latest Ediacaran to the late Cambrian. Ediacaran–Cambrian fossil quantities exhibit a comparable trajectory and have strong (r<sub>s</sub> &gt; 0.8) positive correlations with marine sedimentary area and volume flux at multiple temporal resolutions. Even so, Ediacaran fossil quantities are dramatically reduced in comparison to the Cambrian when normalized by the quantity of preserved marine rock. Although aspects of these results are consistent with the expectations of a simple fossil-preservation induced sampling bias, together they suggest that transgression-regression and a large expansion of marine shelf environments coincided with the diversification of animals during a dramatic transition that is starkly evident in both the sedimentary rock and fossil records.</p>

opencc-zeroSep 2023View details →
zenodo40/100

Data for "Coupled carbon and nitrogen cycling regulates the cnidarian-algal symbiosis"

<p>Raw data associated with the publication &quot;Coupled carbon and nitrogen cycling regulates the cnidarian-algal symbiosis&quot;. Data associated with individual figures and corresponding analyses are uploaded as separate tabs in the Excel file. Radecker_etal_NanoSIMS.zip contains the individual NanoSIMS images (names according to treatment). Radecker_etal_Chlorophyll_Fluorescence_Images.zip contains exemplary photographs of chlorophyll fluorescence of Aiptasia&nbsp;(names according to treatment).</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Dec 2022View details →
dryad40/100

Data from: Crustal faulting drives biological redox cycling in the deep subsurface

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publicJul 2025View details →
dryad40/100

Data and code from: Decades of historical outbreak cycles in a multivoltine insect reveal a plastic phenological response to climate change

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publicMay 2025View details →
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Data from: Adaptive division of growth and development between hosts in helminths with two-host life cycles

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publicJun 2022View details →
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Data and code for: Realized genetic gains via recurrent selection in a tropical maize haploid inducer population and optimizing simultaneous selection for the next cycles

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publicAug 2024View details →
dryad40/100

Data from: First records of complete annual cycles in water rails Rallus aquaticus show evidence of itinerant breeding and a complex migration system

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publicOct 2020View details →
dryad40/100

Data from: Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach

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publicOct 2024View details →
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Data for: Emigration and survival correlate with different precipitation metrics throughout a grassland songbird's annual cycle

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publicMar 2023View details →
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Data from: The role of fish feces for nutrient cycling on coral reefs

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publicJun 2023View details →
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Data for: Intergenerational genotypic interactions drive collective behavioural cycles in a social insect

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publicNov 2022View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record