Find research datasets worth reusing

opencc-zeroApr 2024View details →

GPS tracking data for: Male mating season range expansion results from an increase in scale of daily movements for a polygynous-promiscuous bird

Males of species with promiscuous mating systems are commonly observed to use larger ranges during the mating season relative to non-mating seasons, which is often attributed to a change in movements related to reproductive activities. However, few studies link seasonal range sizes to variations in daily space use patterns to provide insight into the behavioral mechanisms underlying mating season range expansion. We studied 20 GPS-tagged male wild turkeys (Meleagris gallopavo), a large upland gamebird, during the mating and summer non-mating seasons to test the hypothesis that larger mating season ranges resulted from male wild turkeys expanding the scale of daily movement activities to locate and court females. We delineated mating and non-mating seasons based on the intensity of gobbling, a vocalization tied to courtship behavior, recorded by autonomous recording units distributed across the study area. Mating season ranges were significantly larger than non-mating season ranges. Daily ranges were larger in the mating season, as were distances between roost sites used on consecutive nights. Variance in daily range size was greater in the mating season, but low temporal autocorrelation suggested considerable daily variability in both seasons. We found no evidence that male wild turkeys changed how they distributed daily movements within seasonal ranges, or differences in habitat use, suggesting larger mating season ranges result from male wild turkeys increasing the scale of their daily movements, rather than a systematic shift to a nomadic movement strategy. Likely, the distribution of females is more dynamic and ephemeral compared to other resources, prompting males to traverse larger daily ranges during the mating season to locate and court females. Our work illustrates the utility of using daily movement to understand the behavioral process underlying larger space use patterns.

opencc-by-4.0Nov 2024View details →

Deciphering the impacts of main inflowing rivers on dissolved organic matter in Lake Daye using isotopes, optical spectroscopy, and FT-ICR-MS during non-flood season

The uploaded data include water quality data, isotopes, DOM fluorescence index and FT ICR MS data of Daye Lake and its inflowing rivers.

opencc-by-4.0Nov 2024View details →

Data for: Seasonal differences in observed versus modeled new particle formation at two European boreal stations

Model dataset variables produced from the IFS and TM5 modules in EC-Earth3 version 3.4.0 which contains the control case and four experiments with the NPF lookup table. This paper is under review. The files contain: <ul> <li>NetCDF files from TM5 general output for each simulation at the two location grid points.</li> </ul> File-name description of the EC-Earth3 experiments:  "Hyyt" = Hyytiälä, "Mossa" = Hyltemossa. "ricc2" = CLUST-HIGH case "dlpno" = CLUST-Low case "bono" = CLUST-Low+Riccobono case "ctrl"   = Model control run case "nonpf" = No NPF case <ul> <li>Compressed tar file of NetCDF data from IFS output for all four simulations. All IFS data have been averaged to monthly means from 3-hourly grib datasets.</li> </ul>   <ul> <li>ADCHEM base-case particle number size distributions from Hyytiälä and Hyltemossa.</li> </ul>

opencc-by-4.0Nov 2024View details →

Dataset for "Diurnal, seasonal, and interannual variations in δ(18O) of atmospheric O2 and its application to evaluate natural/anthropogenic changes in oxygen, carbon, and water cycles" by Ishidoya et al.

The dataset used in the paper "Diurnal, seasonal, and interannual variations in δ(18O) of atmospheric O2 and its application to evaluate natural/anthropogenic changes in oxygen, carbon, and water cycles" by Ishidoya et al. The doi of the preprint of the paper is https://doi.org/10.5194/egusphere-2024-654. The dataset contains the diurnal cycles of delta_atm(18O), delta(O2/N2), y(CO2), and delta(Ar/N2) at Tsukuba, Japan averaged for the period 2013-2022 ("data_for_Fig4.csv"), the rolling average values of delta_atm(18O) and delta(O2/N2) anomalies for 300 data at TKB during August and February, 2017 ("data_for_Fig6.csv"), and the monthly mean values of delta_atm(18O) and the delta(O2/N2) at TKB for the period 2013-2022("data_for_Fig7.csv"). The raw data before averaging are also presented ("raw_data_2013.csv" to "raw_data_2022.csv"). See text of Ishidoya et al. in more details.

opencc-by-4.0Oct 2024View details →

Birth season associates with multiple anthropometric traits in Estonian children

Seasonal variation in maternal exposure to sunlight during pregnancy, which leads to a variation in vitamin D availability for a fetus, is a prevalent explanation for the variation of offspring traits with birth season. However, little consensus exists about the pregnancy period during which the fetus is most sensitive to maternal UV exposure and which offspring traits are most sensitive. We examined the association between 11 anthropometric traits and birth season/month among 18,459–23,876 Estonian children born in 1937–62. Nine traits showed seasonal patterns, which were generally weak, compared to the effects of family socioeconomic position (SEP). Clear nonlinear associations between offspring traits and birth month emerged only among children of mothers in non-manual professions. A possible explanation is that the growth of children in high-SEP families is more strongly buffered against any external exposures than the growth of children in low-SEP settings. For most traits, children born in spring/summer were larger than those born in autumn/winter. Hip width, trunk length and weight showed the most distinct seasonal patterns.

opencc-by-4.0Oct 2024View details →

Data and code for articles on the seasonal variation of the DC global electric circuit

In this repository you can find the measurement and modelling data, the research code, and a comprehensive description of the code developed for two papers on the seasonal variation of the DC global electric circuit. First paper (Part 1: A new analysis based on long-term measurements in Antarctica) focuses on the seasonal variation of the global electric circuit (GEC) based on electric field measurements at the Vostok station in Antarctica during 2006–2020. Second paper (Part 2: Further analysis based on simulations) further analyses the seasonal variation of the GEC on the basis of simulations with models of atmospheric dynamics. An extended description, including a brief overview of the script code and a description of the data files, is provided in the attached archive in the <code>readme.md</code> file.

opencc-by-4.0Sep 2024View details →

The Repository for the Manuscript "Temperature and Precipitation Dominate Seasonal Variations in Seismic Velocity and Attenuation in Deserts"

Overview This dataset contains the essential code and data for calculating the Horizontal-to-Vertical Spectral Ratio (HVSR), analyzing vehicle-generated seismic events, retrieving Q-values, and comparing them with meteorological data. It also includes waveform data from 20 seismic events. The seismic data originate from a temporary broadband seismic array deployed in the Tarim Basin, from July 2017 to October 2019 (Zuo et al., 2022). This dataset focuses on three seismic stations: T12, T52, and T23. Stations T12 and T23 recorded data from July 2017 to October 2019, while station T52 recorded from November 2018 to October 2019.   Code The dataset includes Python scripts for calculating HVSR and retrieving Q-values. The HVSR calculation follows Li et al., (2023), while forward modeling is based on Antonio García-Jerez et al., (2016). The codes for Q-value estimation are stored in ‘Retrieving Q-value’ folder. The Q-value estimation process, demonstrated for station T12 in Jupyter Notebook, involves extracting single vehicle signals from continuous data, time-frequency spectrogram calculations, two-dimensional correlation coefficient of their time-frequency amplitude calculations, using hierarchical clustering algorithm to classify vehicle signals, vehicle speed estimation, and performing Q-value inversion.   Dataset HVSR variations over time for three stations are calculated from continuous seismic recordings and are stored in the ‘HVSR’ folder under each station directory. Time-frequency spectrograms for Q-value estimation are stored in the ‘Spectrogram’ folder, with filenames indicating the record time of each vehicle signal. The Q-value is inverted using these signals, and for stability, we stacked every 100 individual results, which are stored in the 'Q-values' folder under the corresponding station name folder. Due to interference from wind and other sources, Q-value inversion using vehicle signals was unreliable for T23, so Q-values are only provided for T12 and T52. Meteorological data (temperature and soil water content) are stored in the ‘temperature’ and ‘soil water content’ folders under each station directory. Seismic event waveforms for 20 selected strong earthquakes are stored in the ‘events’ folder, with filenames indicating the start and end times of the events.

opencc-by-4.0Oct 2021View details →

Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high-latitude regions

This dataset is the GEOS-Chem model output used in the following publication,  Jacobs, N., Simpson, W. R., Graham, K. A., Holmes, C., Hase, F., Blumenstock, T., Tu, Q., Frey, M., Dubey, M. K., Parker, H. A., Wunch, D., Kivi, R., Heikkinen, P., Notholt, J., Petri, C., and Warneke, T.: Spatial distributions of XCO2 seasonal cycle amplitude and phase over northern high latitude regions, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2021-185, in review, 2021. The version 2 zip file contains three directories. CO2_tracers_daily/GEOSChem.taggedCO2.YYYYMMDD.nc files: this directory contains the CO2 simulation as defined by Jacobs et al. (2021). YYYY indicates year, MM indicates month, and DD indicates day. CO2_tracers_monthly/GEOSChem.taggedCO2.YYYYMM.nc files: this directory contains the CO2 simulation as defined by Jacobs et al. (2021). YYYY indicates year and MM indicates month. TT_tracers/GEOSChem.TTtagged.YYYYMM.nc files: this directory contains the tagged tracers simulation as defined by Jacobs et al. (2021). YYYY indicates year and MM indicates month. The version 1 zip file contains only the monthly mean directories.

opencc-by-4.0Nov 2021View details →

Seasonal cycles of the 234Th profiles and each term of the 234Th diagnostic equation from a realistic simulation at SEATS

This dataset provides the diagnostic results of the 234Th equation from a physical-biogeochemical-234Th model simulation at SEATS. It includes two files: (file1)seasonal_mean_of_vertical_profiles.mat and (file2) each term of the 234Th diagnostic equation.mat. In file1, seasonal cycle of tracers (e.g., temperature, salinity, particulate 234Th and total 234Th)  at SEATS were saved. File 2 provides the diagnostic results of the 234Th equation at SEATS, including the rate of 234Th over time, the deficit of 238U-234Th term, the particle sinking term, the vertical advection and diffusion term.

opencc-zeroNov 2021View details →

Recent natural variability in global warming weakened phenological mismatch and selection on seasonal timing in great tits (Parus major)

Climate change has led to phenological shifts in many species, but with large variation in magnitude among species and trophic levels. The poster child example of the resulting phenological mismatches between the phenology of predators and their prey is the great tit (Parus major), where this mismatch led to directional selection for earlier seasonal breeding. Natural climate variability can obscure the impacts of climate change over certain periods, weakening phenological mismatching and selection. Here, we show that selection on seasonal timing indeed weakened significantly over the past two decades as increases in late spring temperatures have slowed down. Consequently, there has been no further advancement in the date of peak caterpillar food abundance, while great tit phenology has continued to advance, thereby weakening the phenological mismatch. We thus show that the relationships between temperature, phenologies of prey and predator, and selection on predator phenology are robust, also in times of a slowdown of warming. Using projected temperatures from a large ensemble of climate simulations that take natural climate variability into account, we show that prey phenology is again projected to advance faster than great tit phenology in the coming decades, and therefore that long-term global warming will intensify phenological mismatches.

Initial soil conditions outweigh management in a cool-season dairy farm's carbon sequestration potential

Data used in the manuscript "Initial soil conditions outweigh management in a cool-season dairy farm’s carbon sequestration potential" (<a href="http://dx.doi.org/10.1016/j.scitotenv.2021.152195">10.1016/j.scitotenv.2021.152195</a>)   Soil samples, gas fluxes, and biomass samples measured at the Organic Dairy Research Farm at the University of New Hampshire. Soil samples were in two sets, a spatially explicit set from 0 - 15 cm depth, and less spatially explicit samples taken at 10 cm increments. Soils were sampled for soil carbon and nitrogen content. Gas fluxes were measured using the chamber method with carbon dioxide and nitrous oxide gases measured on gas chromatographs with the change over time used to measure the gas flux rates. Forage biomass was measured by collecting biomass in 1 m2 plots. Please see the manuscript for more details on sampling.

Monthly and seasonal climatologies of the mixed layer potential temperature and salinity budgets in the Red Sea

Monthly and seasonal climatologies of the mixed layer temperature and salinity budgets in the Red Sea (RS), analyzed using the outputs of a high-resolution (1/100) ocean general circulation model (MITgcm) covering the period 2001 to 2015 (Krokos et al., 2021). The data support the analysis presented in the paper "Processes governing the seasonal evolution of mixed layers in the Red Sea", accepted for publication in the Journal of Geophysical Research - Oceans. The model diagnostics’ terms include the mixed layer depth (MLD), the surface heat (Qnet) and freshwater fluxes (FW), the mixed layer pot. temperature (MLT) and salinity (MLS), and the surface velocities over the RS. The analyzed budget terms include the tendency of pot. temperature θ and salinity S (TT, ST), the surface fluxes of θ and S (TF, SF), the divergence of the advective fluxes of θ and S (TA, SA), the diffusive flux of θ and S (TD, SD), and processes at the ML base (Tbase, Sbase) that comprise en(de)trainment and the advective and diffusive fluxes acting on the en(de)trained volume. Krokos, G., Cerovečki, I., Zhan, P., Hendershott, M. C., & Hoteit, I. (2021). Seasonal Evolution of Mixed Layers in the Red Sea and the Relative Contribution of Atmospheric Buoyancy and Momentum Forcing, 1–44. Retrieved from http://arxiv.org/abs/2112.08762

opencc-zeroDec 2021View details →

Fish resist temptation from junk food: State-dependent diet choice in reproductive Atlantic cod (Gadus morhua) facing seasonal fluxes of lipid-rich prey

In ecological sciences, animal diets are often simplified to "resources" or "caloric quantities". However, in the present study, we investigated the optimal foraging strategy of Atlantic cod (Gadus morhua) when both macro- and micro-nutritional requirements are accounted for. Proteins cannot be synthesized from fatty acids, so the proteins for gonad development must come from other dietary sources. In addition, micronutrients are required in smaller quantities. For example, for cod, arachidonic acid (ARA) acts as a micronutrient precursor for prostaglandins, which is important for reproduction. We formulated a dynamic state-dependent model to make predictions about optimal diet choice and foraging behavior. We applied the model to a case study in the strait between Denmark and Sweden. The model predicted that energy acquired from dietary protein should be twice that acquired from lipids, with a small increase in the lipid requirements when gonads are growing. The model also predicted that the "energy sparing effect of lipids" made it beneficial to engage in risky foraging activity to supplement a lean diet with a little bit of fat. When we re-constructing the model to also optimize ARA uptake, the cod consumed relatively more ARA-rich crabs in the months prior to spawning, despite the otherwise poor energetic value of this prey. In support of the model predictions, field observations indicated that lipid stores reached a peak shortly after the arrival of the lipid-rich migrating herring and the fatty acid signal of these herring were evident in the liver of nearly all cod. Three month later, only half of the cod contained the herring-derived fatty acid signal, supporting the predicted shift in prey type prior to spawning. From these model predictions and field observations, we conclude that, also in the wild, nutritional requirements can be at least as important as pure energy acquisition.

Dataset for: 'Influence of seasonal temperature fluctuation on successful reproduction of the Gorongosa girdled lizard (Smaug mossambicus)' - Baker and Jones

Datasets for recreating figures in 'Influence of seasonal temperature fluctuation on successful reproduction of the Gorongosa girdled lizard (Smaug mossambicus)' , and an accompanying R script.

opencc-by-4.0Jan 2022View details →

Warm-Cold Season ORs for ED Asthma, IP Asthma, IP MI, and IH HF

Four graphs display warm-cold season odds ratios (ORs) for emergency department asthma, inpatient asthma, IP myocardial infarction, and IP heart failure in the Baltimore study area 99 12 km2 Community Multiscale Air Quality grids, and in grids with and without on-the-ground ambient fine PM air monitors.

opencc-zeroJan 2022View details →

Data for: The interplay of environmental cues and wood density in the vegetative and reproductive phenology of seasonally dry tropical forest trees

The great phenological diversification characteristic of seasonally dry tropical forests (SDTF) suggests that these patterns result from a complex interplay between exogenous (e.g., climatic) and endogenous (e.g., morphological, physiological, anatomical) factors. Based on the well-established relationships of wood density with water-storing capacity and cavitation vulnerability in woody plants, we hypothesized differential vegetative and reproductive phenological responses to environmental cues for hardwood and softwood species. To test this hypothesis, we compared phenological patterns of pairs of conspecific populations of 10 species differing in wood density, occurring in two localities with slightly different climatic regimes, and evaluated the influence of three environmental variables (rainfall, photoperiod, temperature) on them. Our results, based on the assessment of the overlap of the phenological curves of conspecific populations occurring in different sites and on linear modeling, showed different effects of the environmental factors on phenophase attributes, depending on wood density of the study species, thus supporting our hypothesis. Leaf out in softwood species took place in the dry season, they shed the foliage at the first signs of drought, and once leafless, they flowered and fruited shortly after. By contrast, hardwood species bore leaves and flowers in the rainy season, shed their leaves several months after the rain ceased, and produced fruits during the dry season. We conclude that the role of environmental variables in cueing growth and reproduction cycles in SDTF tree species is interrelated with their wood density, a key endogenous factor crucially linked to plant hydraulics in these water-limited ecosystems.

opencc-by-4.0Jan 2022View details →

Evaluating the Arabian Sea as a regional source of atmospheric CO2: seasonal variability and drivers

The netCDF file included here corresponds to datasets used in the Biogeosciences paper entitled "Evaluating the Arabian Sea as a regional source of atmospheric CO2: seasonal variability and drivers" by Alain de Verneil, Zouhair Lachkar, Shafer Smith, and Marina Levy The data included here comprises of model output used in the paper to generate figures in the main manuscript. Many of the figures also contain data from publicly available sources, which is detailed in the "Data availability" section at the end of the paper. The data are in standard netCDF file format, readily readable using netCDF tools (i.e. netCDF4 package in Python, ncread function in Matlab, etc.). Variables names, dimensions, and units are described in the metadata within the netCDF file. Questions regarding this dataset and how it can be used to reproduce the results in the article can be forwarded to Alain de Verneil through email at ajd11@nyu.edu

opencc-by-4.0Feb 2022View details →

Eddy covariance flux data at the Wüstebach clear-cut site for the 2020 growing season

Data related to the research article Effects of Measurement Height and Low-Pass Filtering Corrections on Eddy-Covariance Flux Measurements Over a Forest Clearing with Complex Vegetation published in Boundary-Layer Meteorology.

A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures

<pre>This repository contains the data for "A Multivariate Index for Tropical intraseasonal Oscillations based on the Seasonally-varying Modal Structures". </pre>