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518 results for “cycling data”
Codes and data for the article: Biodiversity on the Line: Life Cycle Impact Assessment of Power Lines on Birds and Mammals in Norway
<p>This repository contains all input data required to run the habitat conversion, collision, and electrocution LCIA models and reproduce the results, as well as all output data generated in various formats. The models are described in the paper "Biodiversity on the Line: Life Cycle Impact Assessment of Power Lines on Birds and Mammals in Norway" (https://doi.org/10.1088/2634-4505/ad5bfd).</p> <p>"The files "01_Get_GBIF_points.R, "02_SDMs_maxent.R" describe how to create the species distribution maps.</p> <p>"03_Data_preparation.R", "04_Pylon_cleaning.py" are to prepare and modify the raw data for the analysis. The raw data are not provided, yet links to the sources are provided either in the R codes or the paper.</p> <p>To run the models, run the "05_SHR_modelling.R" and "06_Collision_electrocution_models.R" files.</p> <p>To calculate characterization factors, run the "07_Characterisation_factors.R" file.</p> <p>To export the tables in the Supporting Information 1, run the file "08_Supporting_Information.R".</p> <p>Finally, the file "09_Sensitivity_analysis.R" performs the sensitivity analyses.</p>
Key habitat for male Strix nebulosa (Great Gray Owls) varies across the diurnal cycle and reflects sex-specific role, data archive
<p>We used GPS tracking and remotely-sensed environmental data to evaluate whether breeding-season habitat selection by adult male <em>Strix nebulosa </em>(Great Gray Owls) (n = 19) varied across diurnal periods (dawn, day, dusk, and night). To address knowledge gaps related to nocturnal habitat, we also evaluated finer-scale, microhabitat selection by male owls at night. Here, we include both the remotely-sensed habitat data and on-the-ground microhabitat data associated with owl locations. Generally, <em>S. nebulosa </em>are associated with mature forests for nesting and meadows for foraging. Yet, in our study, owls avoided herbaceous wetlands during the day but strongly selected them at dawn, dusk, and at night, indicating context-dependent habitat selection. Moreover, owls avoided dry meadows at all times of the day, suggesting that wet rather than xeric meadows are important for foraging. Owls also preferred nighttime microhabitats that facilitated foraging, such as those with presence of primary prey and open understories dominated by graminoids and forbs. During the daytime, owls preferred higher canopy cover and areas with increased soil moisture, which likely provided suitable roosting habitat. Understanding of habitat preferences across sexes, activity periods, and other contexts can improve the identification and conservation of critical habitat for wildlife.</p>
Data for: Aqueous Supercapacitor with Wide-Temperature Operability and over 100,000 Cycles Enabled by Water-in-Salt Electrolyte
<p>The dataset contains the raw data for the aqueous supercapacitor study, which evaluated the electrochemical behavior and energy storage performance of a symmetric supercapacitor utilizing activated carbon electrodes and a "water-in-salt" electrolyte (WiSE) based on lithium perchlorate. The package includes the data and figures for the paper entitled “Aqueous Supercapacitor with Wide-Temperature Operability and over 100,000 Cycles Enabled by Water-in-Salt Electrolyte".</p>
Processed Data for Short Gianotti et al., "Two Sub-Annual Time-Scales and Coupling Modes for Terrestrial Water and Carbon Cycles" (2024), Global Change Biology.
<p>These files include all data used to create Figures in Short Gianotti et al., "Two Sub-Annual Time-Scales and Coupling Modes for Terrestrial Water and Carbon Cycles" (2024), Global Change Biology. Raw data provenances and methodological processing are cited in the published manuscript.</p> <p>See README file for metadata information.</p>
Cycle Logistics in Rio de Janeiro - Survey Data
<p>Data collected by the NGO Transporte Ativo (Brazil) from a survey of businesses that used cycle logistics (bicycles and tricycles for freight delivery) in nine commercial areas of Rio de Janeiro. Field researchers administered the survey in December 2014 and January 2015. Researchers canvassed every block of 1 square km in nine commercial centers of Rio to identify businesses that used cycle logistics.</p>
The Measurement and Prediction of Phase Transformation Kinetics in a Nuclear Steel During Weld-Like Thermal Cycles: supporting data
<p>The Excel files contain the raw dilatometry data for the FGHAZ and CGHAZ experiments, with the spreadsheet used to calculate the modified offset also included. </p> <p>The .tif files are the raw 2D images acquired during synchrotron X-ray diffraction experiments. The sample-detector distance was approximately 1400 mm. Please see the publication for further details (or contact the corresponding author). </p>
Single-particle tracking data for "CTCF sites display cell cycle dependent dynamics in factor binding and nucleosome positioning"
<p>This dataset contains all the raw SPT data reported in "­­­­CTCF sites display cell cycle dependent dynamics in factor binding and nucleosome positioning" in the form of SPT trajectories. The SPT trajectories are provided in two different formats for convenience: a CSV format and a Matlab format. Both formats are readable by Spot-On: https://spoton.berkeley.edu/</p> <p>The SPT data contains "fast tracking" spaSPT data and this data was analyzed using the Matlab version of Spot-On which can be found and downloaded at: https://gitlab.com/tjian-darzacq-lab/spot-on-matlab</p> <p> </p> <p>Full details about the Matlab and CSV formats are provided in the ReadMe files in the associated zip files.</p> <p>Please see the associated manuscript for a detailed description of how the data was acquired and analyzed.</p>
Supplementary data for "An initial assessment of the value of Allam Cycle power plants with liquid oxygen storage in future GB electricity system"
<p>The code for the Unit Commitment & Economic Dispatch model that was used in this work is available at: https://gist.github.com/vitali87/20688c161d7b5ad598b5d52b524f4585</p> <p>Sample output data can be found in the "Example Outputs.zip" file. This corresponds to the case outlined in the article that simulates a system with 5 Allam Cycle plants without Liquid Oxygen Storage, for the winter test week.</p> <p>To run the UCED model:</p> <ul> <li>Download "UC AIMMS Allam Cycle Model" code from the github and save as an AIMMS project file.</li> <li>Save the file in a folder that contains all the necessary input datasets, found in the "Universal Inputs for UCED Model.zip" file, and the example outputs, found in the "Example Outputs.zip" file, which are to be overwritten. Do not change the name of the input or output files.</li> <li>Open the project and execute the following procedures: <ul> <li>"Main Initialisation" - to initialise the problem</li> <li>"Read from Excell" - to read data from the input files</li> <li>"Main Execution" - to begin running the problem</li> </ul> </li> <li>Once the run is complete, execute "Run External Procedure" to overwrite the output files with the new data.</li> </ul> <p>To change the test week:</p> <ul> <li>Open "Demand Profiles" in 'sets' and change the set definition. Enter "C1" for the winter week and "C21" for the summer week. Another week can alternatively be selected. For example, entering "C45" would allow the model to run with the weather and demand data from the 45th week in the year 2010. </li> <li>Save and close the set.</li> </ul> <p>To change the number of plants in the system:</p> <ul> <li>Open "PCCSGenerators" in 'sets' and change the set definition. To run with 5 Post Combustion Capture plants, end the list of generators after plant number 5 by commenting the remaining plants. This is done by using "!" after the 5th plant name in the string. Then save and close the set.</li> <li>Repeat the above step for the "ACGenerators" and "AirSeparationUnits" sets, to change the number of Allam Cycle plants in the system.</li> </ul> <p>To add or remove oxygen storage capability from the Allam Cycle plants:</p> <ul> <li>Open the "Main Initialisation" procedure.</li> <li>To run the model without oxygen storage: <ul> <li>make sure the following command is stated: "AC_ASU_coupled := 0;"</li> <li>save and close the procedure</li> </ul> </li> <li>To run the model with oxygen storage: <ul> <li>make sure the following is command is stated: "AC_ASU_coupled := 1;"</li> <li>make sure that the number, 'X', of "map_AC_to_ASU('Gas_CCS_AC_X') := 'ASU_X';" commands that are active matches the number of active Allam Cycle plants in the model</li> <li>save and close the procedure.</li> </ul> </li> </ul>
The Effects of Cycle and Treadmill Desks on Work Performance and Cognitive Function in Sedentary Workers: data repository of a review and meta-analysis.
<p>This repository contains additional files related to the review and meta-analysis. The first dataset contains list of search terms. The second dataset contains list od studies included in the meta-analysis. The third dataset contains study evaluation using PEDro scale tool. The fourth dataset contains two additional forrest plots (Effect of cycle and treadmill desks on typing errors and Effect of cycle and treadmill desks on congruent Eriksen Flanker test).</p>
Data from: Desiccation and rehydration of mosses greatly increases resource fluxes that alter soil carbon and nitrogen cycling
1. Mosses often have positive effects on soil carbon and nitrogen cycling, but we know little about how environmentally determined cycles of desiccation and rehydration in mosses influence these processes. 2. In this context, we compared carbon and nitrogen in throughfall after precipitation passed through eight moss species that were either hydrated continuously or desiccated and rehydrated. Also, the throughfall of four moss species was added to soil and used to determine the net effect of carbon and nitrogen added in moss throughfall on soil CO2 and N2O efflux. 3. Depending on the species, desiccated-rehydrated (rehydrated) mosses lost 2-31 times more carbon in throughfall than mosses that were continuously hydrated (hydrated). Hydrated mosses lost little to no detectable nitrogen; whereas most rehydrated mosses lost some nitrogen in throughfall. Throughfall from both hydrated and rehydrated mosses generated higher CO2 and N2O efflux than water treated soils, but rehydrated moss throughfall promoted larger N2O efflux than hydrated moss throughfall. Throughfall from hydrated mosses caused net negative changes in soil carbon and had very little effect on soil nitrogen, whereas throughfall from rehydrated mosses generated positive changes in soil carbon and nitrogen. 4. Synthesis. Our results indicate that resources lost from desiccated mosses during rehydration influence soil carbon and nitrogen transformations and may be important drivers of carbon and nitrogen cycling and storage in ecosystems.
Data: Annual-Cycle Movements and Phenology of Black Scoters in Eastern North America
<p>This data file consists of R code and associated data files used to analyze movements of black scoters in Eastern North America and is associated with the manuscript "Annual-Cycle Movements and Phenology of Black Scoters in Eastern North America" published in Journal of Wildlife Management.</p> <p>***</p> <p>blsc.csv (main datafile) contains state-space model-derived locations and individual data. Columns are organized as follows:</p> <p>id - unique identifier</p> <p>date - date of location (mm/dd/yy)</p> <p>jday - Julian date of location</p> <p>year - calendar year of location</p> <p>lon - longitude of location</p> <p>lat - latitude of location</p> <p>b - average assignment of location to either migrant (1) or resident (2) across all runs of the state-space model</p> <p>b.5 - most probable behavioral category based on average state assignment (1 = b ≤ 1.5 ; 2 = b > 1.5)</p> <p>sex - sex of individual (M = male, F = female)</p> <p>age_y1 - age of individual (HY = hatch year, SY = second year, TY = third year, ASY = after second year, ATY = after third year, AHY = after hatch year</p> <p>capture_reg - general area where individual was captured</p> <p>capture_subreg - specific region within capture region where individual was captured</p> <p>stage - period of the annual cycle to which the centroid belongs (W = winter, B = breeding, S = spring staging, M = fall staging and molt, WM = winter migration, BM = breeding migration, MM = molt migration, SM = spring migration)</p> <p>site - position of centroid within season (i.e., W1 = first site occupied during winter, W2 = second site occupied, etc.)</p> <p>cycle - number of annual cycles following transmitter attachment (1 = first cycle after attachment, 2 = second cycle after attachment, etc.)</p> <p>season - season of annual cycle in which centroid occurred (W = winter, F = fall, B = breeding, S = spring</p> <p>***</p> <p>ind_vars.csv contains additional information on individual capture seasons and dates. Columns are as defined above with additional columns as follows:</p> <p>tagging_season - season in which bird was captured and fitted with PTT (W = winter, S = spring)</p> <p>tagging_date - date on which bird was captured and fitted with PTT</p> <p>***</p> <p>all_seasons2.csv contains calculated values for between-year distances. Columns are as defined above with additional columns as follows:</p> <p>sex - AVG = average of all sites used by all other individuals in the following year, M = sites used by same individual in the following year (male), F = sites used by same individual in the following year (female)</p> <p>min_same = distance between sites used in subsequent years</p>
Cycling Data of 64 Cells manufactured by AutoBASS
<p>This is the complete dataset for cells made for the publication of <a href="https://doi.org/10.1039/D2DD00046F">https://doi.org/10.1039/D2DD00046F</a> </p> <p>Robotic cell assembly to accelerate battery research, <em><strong>Digital Discovery</strong></em>, 2022, Advance Article by Zhang et al.</p> <p>This dataset goes beyond the inital cycles and tested, wherever possibile, up to 500 cycles at a constant 1C/1D rate.</p> <p>The details of the robot that made the cells can be found at https://github.com/Helge-Stein-Group/AutoBASS and the details of the cycling procedure and chemistry can be found in the article.</p>
Simulation and calculation data for the Lorenz energy cycle
<p>The data are for the article "Lorenz Energy Cycle: Another Way to Understand the Atmospheric Circulation on Tidally Locked Terrestrial Planets". The data are simulated by the general circulation model ExoCAM. The horizontal resolution is 4<span>°x5°.</span></p> <p><strong><span>Note: ST: in standard coordinates; TL: in the tidally locked coordinates.</span></strong></p> <ol> <li><span>The simulation data is daily-mean (i.e., '<strong>*.daily.nc</strong>'), including: </span><strong>ST_5d_tidally_locked.cam.daily.nc, ST_60d_tidally_locked.cam.daily.nc </strong>(in the standard coordinates), and <strong>TL_60d_tidally_locked.cam.daily.nc</strong> (in the tidally locked coordinates). </li> <li>The LEC data are calculated by the LEC code released at <em>https://doi.org/10.5281/zenodo.7472396</em>, including:</li> </ol> <ul> <li>Earth: <strong>LEC_energy.1979-*.nc</strong> and <strong>LEC_converse_rate.1979-*.nc</strong></li> <li>Rapidly rotating tidally locked planet (in standard coordinates): <strong>ST_LEC_energy_5d_tidally_locked.nc</strong> and <strong>ST_LEC_conv-rate_5d_tidally_locked.nc</strong></li> <li>Slowly rotating tidally locked planet (in tidally locked coordinates): <strong>TL_LEC_energy_60d_tidally_locked.nc</strong> and <strong>TL_LEC_conv-rate_60d_tidally_locked.nc</strong></li> <li>Slowly rotating tidally locked planet (in standard coordinates): <strong>ST_LEC_energy_60d_tidally_locked.nc</strong> and <strong>ST_LEC_conv-rate_60d_tidally_locked.nc</strong> </li> </ul> <p> </p> <p> </p>
Data for: Sex-based divergence in tidal, lunar and seasonal cycles of activity in the olive sea snake, Aipysurus laevis (Elapidae, Hydrophiinae)
<p>Marine environments show strong cycles at daily (tidal), monthly (lunar) and seasonal timeframes, and the behavioural responses of marine organisms to such cycles may depend upon ecological and behavioural traits that differ between the sexes. Underwater observations of free-ranging olive sea snakes (Aipysurus laevis, Hydrophiinae, Elapidae) at a site on the southern Great Barrier Reef revealed sex-based divergences in the effects of abiotic cycles on snake activity. Female snakes were active primarily on high and rising tides that allowed access to shallow-water sites for foraging. In contrast, male snakes were active primarily on low and falling tides, especially near the time of the full moon (when tidal range is highest), conditions that may restrict a female snake's ability to evade a courting male. Males were common on the coral-reef site during winter (the mating season), but were rarely seen during summer, whereas females remained on the reef year-round. This highly sexually dimorphic species shows strong temporal separations between the sexes in patterns of activity.</p>
Data for: Responses of soil phosphorus cycling and bioavailability to plant invasion in river-lake ecotones
<p><span>The invasion of exotic plants in the river-lake ecotone has seriously affected the nutrient cycling processes in wetland soil. The South American species <em>Alternanthera philoxeroides</em> (Mart.) Griseb. is rapidly invading the river-lake ecotone in subtropical China, and has become the dominant species in the river-lake ecotone. However, there have been few studies on the effects of <em>A. philoxeroides</em> invasion on soil phosphorus (P) cycling and bioavailability in this ecotone. Herein, we measured the bioavailable P fractions, physicochemical properties and nutrient content in the surface soils of the native plant (<em>Zizania latifolia</em> (Griseb.) Turcz and <em>Nelumbo nucifera</em> Gaertn.) communities and the adjacent invasive <em>A. philoxeroides</em> communities in three river-lake ecotones with different nutrient substrates in the subtropical Dongting Lake basin over a three-year period to reveal the effects of <em>A. philoxeroides</em> invasion on the morphology and concentrations of soil bioavailable P. The principal coordinate analysis results showed that <em>A. philoxeroides</em> invasion significantly altered the bioavailable P concentrations in the soil of native plant communities in the different river-lake ecotones, and this effect was not disturbed by the heterogeneity of the soil matrix. However, the effects of invasion into different native plant communities on the fractions of soil bioavailable P were different. Compared with native <em>Z. latifolia</em> and <em>N. nucifera</em> communities, <em>A. philoxeroides</em> invasion increased the concentration of inorganic P by 39.5% and 3.7%, respectively, and the concentration of organic P decreased by 32.7% and 31.9%, respectively. Meanwhile, the invasion promoted P cycling and accumulation in the river-lake ecotone, which resulted in average decreases in the soil N:P and C:P ratios of 7.9% and 12.5%, respectively. These results highlight the impact of exotic plant invasions on nutrient cycling in wetland ecosystems in the river-lake ecotone, and this process may be detrimental to the late recovery of native plants.</span></p>
Data from: Interactions between fitness components across the life cycle constrain competitor coexistence
<p><span>Numerous mechanisms can promote competitor coexistence. Yet, these mechanisms are often considered in isolation of one another. Consequently, whether multiple mechanisms shaping coexistence combine to promote or constrain species coexistence remains an open question. </span><span>Here, we aim to understand how multiple mechanisms interact within and between life stages to determine frequency-dependent population growth, which has a key role stabilizing local competitor coexistence. </span><span>We conducted field experiments in three lakes manipulating relative frequencies of two <em>Enallagma</em> damselfly species to evaluate demographic contributions of three mechanisms affecting different fitness components across the life cycle: the effect of resource competition on individual growth rate, predation shaping mortality rates, and mating harassment determining fecundity. We then used a demographic model that incorporates carry-over effects between life stages to decompose the relative effect of each fitness component generating frequency-dependent population growth. </span><span>This decomposition showed that fitness components combined to increase population growth rates for one species when rare, but they combined to decrease population growth rates for the other species when rare, leading to predicted exclusion in most lakes. </span>Because interactions between fitness components within and between life stages vary among populations, these results show that local coexistence is population specific. Moreover, we show that multiple mechanisms do not necessarily increase competitor coexistence, as they can also combine to yield exclusion. Identifying coexistence mechanisms in other systems will require greater focus on determining contributions of different fitness components across the life cycle shaping competitor coexistence in a way that captures the potential for population level variation.</p>
Data for the paper: Towards high solar contribution in hybrid CSP-combined cycle gas turbine plants
<p>Data used for the paper "Towards high solar contribution in hybrid CSP-combined cycle gas turbine plants".</p>
Structuring the End of the Data Life Cycle - Datasets
<p>Additional data for paper "Structuring the End of the Data Life Cycle".</p> <p> </p>
Data for "Multiple Equilibria and Soil Moisture-Precipitation Feedbacks in Idealized Convection-Permitting Simulations with an Open Hydrological Cycle"
<p>Code, simulation input files, and simulation output data supporting “Multiple Equilibria and Soil Moisture-Precipitation Feedbacks in Idealized Convection-Permitting Simulations with an Open Hydrological Cycle”, under review at JAMES. Enclosed README files provide detailed descriptions of the archive contents.</p>
Data from: Musashi exerts control of gonadotrope target mRNA translation during the mouse estrous cycle
<p class="MsoNormal">The anterior pituitary controls key biological processes, including growth, metabolism, reproduction and stress responses through distinct cell types that each secrete specific hormones. The anterior pituitary cells show a remarkable level of cell type plasticity that mediates the shifts in hormone producing cell populations that are required to meet organismal needs. The molecular mechanisms underlying pituitary cell plasticity are not well understood. Recent work has implicated the pituitary stem cell populations and specifically, the mRNA binding proteins of the Musashi family in control of pituitary cell type identity. In this study we have identified the target mRNAs that mediate Musashi function in the adult mouse pituitary and demonstrate the requirement for Musashi function <em>in vivo</em>. Using Musashi RNA immunoprecipitation, we identify a cohort of 1184 mRNAs that show specific Musashi binding. Identified Musashi targets include the <em>Gnrhr </em>mRNA, which encodes the gonadotropin releasing hormone receptor (GnRHR), and the <em>Fshb </em>mRNA, encoding <em>follicle-stimulating hormone</em> (FSH). Reporter assays reveal that Musashi functions to exert repression of translation of the <em>Fshb</em> mRNA, in addition to the previously observed repression of the <em>Gnrhr</em>mRNA. Importantly, mice engineered to lack Musashi in gonadotropes demonstrate a failure<em> </em>to repress translation of the endogenous <em>Gnrhr</em> and <em>Fshb</em> mRNAs during the estrous cycle and display a significant heterogeneity in litter sizes. The range of identified target mRNAs suggests that, in addition to these key gonadotrope proteins, Musashi may exert broad regulatory control over the pituitary proteome in a cell-type specific manner.</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)
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.