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Stress measurements for 42 Mw 4.0-5.4 earthquakes during the 2019 Ridgecrest earthquake sequence

The csv file “Ridgecrest_table2_v1.csv” contains measurements of apparent stress, stress parameter, and corner frequency. EvtID:             Earthquake’s Event ID in Southern California Earthquake Data Center (SCEDC, https://scedc.caltech.edu). Mw:                Moment magnitude AST:               Apparent stress measurements in MPa using a time domain algorithm. AST_STD:    Standard deviation of AST in log10 units. ASF:               Apparent stress measurements in MPa using a frequency domain algorithm. Station terms have been corrected. ASF_STD:    Standard deviation of ASF in log10 units. Brune:           Stress parameter or Brune’s stress drop in MPa Brune_STD: Standard deviation of ASF in log10 units. Note that the uncertainty is estimated using a bootstrap approach. Fc:                  Corner frequency of the geometric mean source spectra Fc_STD:        Standard deviation of Fc in log10 units. Note that the uncertainty is estimated using a bootstrap approach. ASF_sub:     Apparent stress measurements in MPa using a frequency domain algorithm. Unlike ASF, only the stations with station terms less than 3 are used. No correction for station terms. ASF_stack:  Apparent stress measurements in MPa using the geometric mean source spectra. Depth:           Centroid depth in km Vs:                  S wave velocity at the centroid depth in km/s Density:        Density at the centroid depth in Mg/m3

Residual stress in 316L stainless steel benchmark additively manufactured arches determined by neutron diffraction and snychtron X-ray diffraction

Residual stress data recorded as part of the EASI-STRESS project.  The data presented is the residual stress in three orthogonal directions determined by neutron diffraction (SALSA at ILL) and synchrotron X-ray diffraction (P07 and P61A at Desy operated by Hereon and ID15A at ESRF). The data is for residual stress in a benchmark 316L stainless steel arch manufactured by laser powder bed fusion using a MetalFAB1 additive manufacturing machine. The arch is square topped with dimensions of nominally 20 mm in both the x and y direction (in plane). The overhang which creates the arch shape runs parallel to the y direction. The height of the arch is nominally 10 mm with the ligament above the over hang being of 2 mm nominal thickness.  Data for two lines is presented: line 1 runs from the centre of the top surface (defined at the origin) down into the arch (defined as positive z direction). Line 2 runs along to the x axis at a depth of 1 mm into the arch.  The stress-free reference used was a reference comb cut from an identically made arch. Different gauge volume sizes and shapes were defined at each institution, all measurement locations indicate the centre of the gauge volume during each measurement. gauge volumes were: P07 200 x 200 µm2, ~1.9 mm, P61A 150 × 150 µm2 ~2.9 mm, ID15A 200 ´ 50 µm2 ~1.7 mm, SALSA 0.6 x 0.6 x2 mm3.

Residual stress data for T6 AlSiCuMg cast wedges determined by neutron diffraction

Residual stress data measured in cast AlSiCuMg wedges in the T6 condition by neutron diffraction at POLDI (PSI) and ENGIN-X (ISIS).  The wedges were measured at POLDI in three orthogonal directions corresponding to the height of the wedge (x) the depth of the wedge (x) and cross sectional thickness of the wedge (y). The gauge volume was 4 mm cube.  The stress-free reference was an identically made wedge which had been cut into a reference comb be electro discharge machining. The comb was measured at ENGIN-X using a 2 mm cubic gauge volume. The comb was mastered to the sample measurements using a reference powder measured at both locations so the positionally dependent residual stress could be calculated.

As built and post heat treatment residual stresses in 316L stainless steel additively manufactured benchmark arches

The data presented is the residual stress in three orthogonal directions determined by neutron diffraction (SALSA at ILL) and synchrotron X-ray diffraction (P07 and P61A at Desy operated by Hereon). The data is for residual stress in a benchmark 316L stainless steel arches manufactured by laser powder bed fusion using MetalFAB1 and EOS M290 additive manufacturing machines. These arches are square topped with dimensions of nominally 20 mm in both the x and y direction (in plane). The overhang which creates the arch shape runs parallel to the y direction. The height of the arch is nominally 10 mm with the ligament above the over hang being of 2 mm nominal thickness.  Data for part in both an as built and after a 700 °C 2 hour heat treatment are presented. The measurement  line runs from the centre of the top surface (defined at the origin) down into the arch (defined as positive z direction). The stress-free reference used was a reference comb cut from an identically made arches. For heat treated samples, heat treated combs were used. Different gauge volume sizes and shapes were defined at each institution, all measurement locations indicate the centre of the gauge volume during each measurement. gauge volumes were: P07 200 x 200 µm2, ~1.9 mm, P61A 150 × 150 µm2 ~2.9 mm, ID15A 200 x 50 µm2 ~1.7 mm, SALSA 0.6 x 0.6 x2 mm3.

Physiological Data Collected from smartwatch: EDA, Pulse Rate, and Skin Temperature for Stress and Fatigue Analysis

The dataset contains multiple columns capturing both physiological and demographic data. Physiological data, collected using the Empatica EmbracePlus smartwatch, includes electrodermal activity (EDA), pulse rate, and skin temperature. These metrics provide insights into participants' stress and fatigue levels. Empatica's proprietary algorithms preprocess the raw data, extracting digital biomarkers and metrics that reflect the wearer's physiological and behavioral states. The processed data is aggregated on a per-minute basis. Demographic information, such as age, gender, fitness level, and sleep duration from the previous night, is also included. Additionally, participants rated their perceived physical fatigue on the Borg scale (ranging from 6 to 20), offering a subjective measure of exertion during or after physical tasks. The dataset was collected during controlled simulations of industrial tasks in a fitness environment. These simulations involved repetitive activities, including weightlifting, resistance band exercises, and isometric tasks, designed to mimic the physical demands of industrial work. This approach allowed for the safe and effective study of physical fatigue. The resulting data provides valuable insights into the physiological responses associated with repetitive physical labor.

Raw data for Investigation of Combined Aging and Mullins Stress Softening of Rubber Nanocomposites

Specification of affiliations: <ul> <li>Barbora Hanulikova - Centre of Polymer Systems</li> <li>Milan Masar - Centre of Polymer Systems</li> </ul>   Raw data for the research paper. Information on the data collection are described in the manuscript Investigation of Combined Aging and Mullins Stress Softening of Rubber Nanocomposites.

Wearable Device Dataset from Induced Stress and Structured Exercise Sessions

This original dataset contains physiological signals collected during structured acute stress induction and aerobic and anaerobic exercise sessions using a wearable device. Blood volume pulse, motion-based activity, skin temperature, and electrodermal activity were recorded with the Empatica E4, a research-grade wearable. The stress induction protocol involved math and emotional tasks designed to provoke stress responses, interleaved with rest periods. Self-reported stress levels were also recorded during this procedure. For the exercise sessions, distinct routines on a stationary bike were created for aerobic and anaerobic activities. The dataset includes records from 36 healthy volunteers for stress sessions, 30 for aerobic exercise, and 31 for anaerobic exercise. By examining the variations in physiological signals, the effects of these activities can be analyzed. This dataset is a valuable resource for research on stress and exercise detection and classification.

Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster

#Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster ##Authors Abhishek Meena, Alessio N. De Nardo, Komal Maggu, Sonja Sbilordo, Benjamin Eggs, Rawaa Al Toma Sho, Stefan Lüpold ## Citation of associated article Meena, A., Maggu, K., De Nardo, A.N., Sbilordo, S.H., Eggs, B., Al Toma Sho, R., Lüpold, S., 2024. Life stage-specific effects of heat stress on spermatogenesis and oogenesis in Drosophila melanogaster. Journal of Thermal Biology 125, 104001. https://doi.org/10.1016/j.jtherbio.2024.104001   ##Overview This dataset was collected to assess the impact of heat stress across various life stages on reproductive performance in Drosophila melanogaster.  The study focuses on stage- and sex-specific reproductive metrics such as: mating success, fertility, fecundity, hatching success, which for females were summed over four days and for males were assayed for four consecutive 24-hour periods, each with a different female.  The dataset is structured to analyze these outcomes at different temperatures and developmental stages, providing insights into sex- and stage-specific vulnerabilities to heat stress.  The analyses are performed in an R Markdown (.Rmd) file, using data stored in a CSV file ##Contents The dataset includes the following files: Rscript.Rmd: An R Markdown file containing code for analyzing sex- and stage-specific reproductive fitness based on the data in Data.csv. Data.csv: A CSV file with the raw data used for the analysis. ##Data Description Note: NA's in each data file represent missing data (data not available).  The Data.csv file contains the following columns: Unique.ID: Unique identifier for each experimental individual. SampleID: Identifier for each treatment group. Temperature: Thermal exposure temperature (measured in degrees Celsius) for 4 hours, with levels: 24.5°C, 28°C, 32°C, 36°C, and 38°C. Lifestage: Developmental stage during which thermal treatment was applied. Sex: Sex of the individual exposed to the thermal treatment. Day: Days post adult treatment exposure. Block: Experimental block identifier for randomized grouping. Total: Total number of eggs laid within 24 hours of oviposition. Hatched: Number of eggs that successfully hatched. Unhatched: Number of eggs that did not hatch (derived from the difference between Total and Hatched). ##Usage To analyze the dataset, open and run the respective R Markdown (Rmd) files in RStudio or any compatible R Markdown environment. The Rmd files contain all the necessary code to reproduce the analyses described in the overview.

opencc-by-4.0Nov 2024View details →

The velocity boundary conditions of the model, the static Coulomb stress, displacement and the direction of the maximum principal stressin in Weiyuan area,China

The velocity boundary conditions of the model,  the displacement, the static coulomb stress  and the direction of the maximum principal stress data in Weiyuan area, Sichuan Province, China, calculated by numerical simulation method. The calculation time is 10 years and 50 years after fracturing, respectively. The data include longitude, latitude, depth and corresponding calculation results. The parameters are: fracture volume-to-model volume ratio (θ) , the fractures distributed radius (γ) around the wells.

opencc-by-4.0Jan 2021View details →

Data and code for 'Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays'

This dataset contains data and code used in the research work for the manuscript "Influence of cross-correlation on the modelled uncertainty in stress–strain behavior of soft clays". The study considered two case studies, Haarajoki clay and Suurpelto clay. Two settlement calculation methods were used: compression index method and Janbu (tangential stiffness) method. In addition, clay database FI-CLAY/14/856 was extended and used to study cross-correlations between compressibility paramaters at different clay sites. Version 2 of FI-CLAY/14/856 is provided, including some other updates and corrections also. The Monte Carlo simulation with Gaussian copula was implemented with Python in Jupyter Notebook environment. In addition to data and code, supplementary figures are also provided. The contents of the dataset-folder are briefly described below: <ul> <li>1_Data_Oedometer_test <ul> <li>Oedometer test data for Haarajoki clay and Suurpelto clay: <ul> <li>Data tables that include the clay specimen identifications, index properties, and oedometer test results (.xlsx)</li> <li>Oedometer raw data files that include all the available stress-strain measurements of both constant-rate-of-strain and incrementally loaded odometer tests (.xlsx)</li> </ul> </li> <li>Extended clay database FI-CLAY/14/856 (version 2) (.xlsx)</li> </ul> </li> <li>2_Code_Jupyter_Notebooks <ul> <li>Python code used to run the Monte Carlo simulations and to create the results figures (.ipynb)</li> <li>Readme-file (.txt)</li> </ul> </li> <li>3_Figures_Online_Supplement <ul> <li>Scatterplots with histograms that show the simulated compressibility parameters in each case (.pdf)</li> </ul> </li> </ul>   More information on database FI-CLAY/14/856 can be found from the original article (https://www.tandfonline.com/doi/full/10.1080/17499518.2020.1864410) and 304dB datbase compilation by TC304 (http://140.112.12.21/issmge/tc304.htm).

opencc-by-4.0Jun 2021View details →

Drought stress triggers differential survival and functional trait responses in the establishment of Arnica montana seedlings

<ul> <li>The establishment and survival of seedlings are critical stages in the life cycle of plants and therefore usually well timed to humid and favourable conditions. Climate projections suggest that the threatened mountain grassland species Arnica montana may be increasingly exposed to drought stress. However, studies that focus on the species’ early development are missing. We evaluated impacts of drought-induced stress on A. montana seedlings in their early establishment phase and identified traits for the species’ fitness decline.</li> <li>In a greenhouse experiment, we tested the response of A. montana seedlings to different drought levels (moderate, strong, extreme). To assess their fitness under increasing drought, we evaluated the survival of the seedlings based on four senescence stages and measured the performance of above- and belowground morphological and physiological functional traits.</li> <li>Arnica montana seedlings showed high resistance to drought. Senescence accelerated and survival declined only under strong and extreme drought conditions. However, the seedlings’ vegetative performance decreased even with moderate drought, as indicated by smaller values of most leaf traits and some root traits. Physiological trait response was less sensitive.</li> <li>Drought stress hinders the establishment and survival of A. montana seedlings. Following the functional trait responses to drought and their associations with survival, we suggest declining leaf length, leaf width, and leaf number as sensitive traits that can lead to a decline performance.</li> </ul>

opencc-by-4.0Jul 2021View details →

Prolonged Stress Causes Depression in Frontline Workers Fac-ing the COVID-19 Pandemic

Data used for the study "Prolonged Stress Causes Depression in Frontline Workers Fac-ing the COVID-19 Pandemic" published on IJERPH

opencc-by-4.0Jul 2021View details →

Perceived stress and e-learning readiness data set during COVID-19

The COVID-19 pandemic has restricted all educational institutions from the traditional campus-based education system to e-learning worldwide. However, adapting to this new platform, e-learning readiness may cause perceived stress among students. This study aimed to examine the association between e-learning readiness and perceived stress as well as the relationship with socio-demographic and e-learning related factors. This cross-sectional study was employed, where 1145 e-learning enrolled university students were surveyed.

opencc-by-4.0Apr 2020View details →

Dataset for "Diets supplemented with Saccharina latissima influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (Oncorhynchus mykiss) fillet composition" (doi.org/10.1016/j.fct.2020.111332)

Dataset corresponding to the following article: Ferreira, M., Larsen, B.K., Granby, K., Cunha, S.C., Monteiro, C., Fernandes, J.O., Nunes, M.L., Marques, A., Dias, J., Cunha, I., Castro, L.F.C., Valente, L.M.P., 2020. Diets supplemented with Saccharina latissima influence the expression of genes related to lipid metabolism and oxidative stress modulating rainbow trout (Oncorhynchus mykiss) fillet composition. Food Chem. Toxicol. 140, 111332. <a href="https://doi.org/10.1016/j.fct.2020.111332">https://doi.org/10.1016/j.fct.2020.111332</a>

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Reservoir hosts experiencing food stress alter transmission dynamics for a zoonotic pathogen

Anthropogenic environmental change can significantly alter availability and quality of food resources for reservoir hosts and impact host-pathogen interactions in the wild. The state of the host's nutritional reserves as time of infection is a key factor influencing infection outcomes by altering host resistance. Here we combine experimental and model-based approaches to better understand how an environmental stressor affects host resistance to West Nile virus (WNV). Using American robins (Turdus migratorius), a species considered a superspreader of WNV, we tested the effect of acute food deprivation immediately prior to infection on host viremia. Our results show that robins food deprived of food for 48 hours prior to infection, developed higher virus titers and were infectious longer than robins fed normally. To gain understanding about the epidemiological significance of food stressed hosts, we developed an agent-based model that simulates transmission dynamics of WNV between the avian reservoir host and the mosquito vector. When we simulated a nutritionally stressed host population, the mosquito infection rate rose significantly reaching levels that represent an epidemiological risk. An understanding of the infection disease dynamics in wild populations is critical to predict and predict and mitigate zoonotic disease outbreaks.

opencc-zeroJul 2021View details →

opencc-by-4.0Aug 2021View details →

Data and code for "Sick and Tired: Sickness Behaviour, Polyparasitism and Food Stress in a Gregarious Mammal"

Data and R code for used for "Sick and Tired: Sickness Behaviour, Polyparasitism and Food Stress in a Gregarious Mammal"

Figure 6 in Osmotic induction of stress proteins in nemerteans

Figure 6. (a) SP70 and (b) SP90 concentrations in Paranemertes peregrina during exposure to 34‰ (control), and 29 and 24‰ (hyposmotic) conditions for 0, 2, 4, 6, 12, 18 and 24 h. Values (pg Mg21) are expressed as means¡standard error.

Figure 4 in Osmotic induction of stress proteins in nemerteans

Figure 4. (a) SP70 and (b) SP90 concentrations in Paranemertes peregrina during exposure to 34‰ (control), and 39 and 44‰ (hyperosmotic) conditions for 0, 2, 4, 6, 12, 18 and 24 h. Values (pg Mg21) are expressed as means¡standard error.

Figure 1 in Osmotic induction of stress proteins in nemerteans

Figure 1. Weight changes in Paranemertes peregrina during exposure to 34‰ (control), and 39 and 44‰ (hyperosmotic) conditions for 0, 2, 4, 6, 12, 18 and 24 h. Values (%) are expressed as means¡standard error.

Figure 5 in Osmotic induction of stress proteins in nemerteans

Figure 5. Western immunoblot of SP70 and SP90 in Paranemertes peregrina during exposure to 34‰ (control), and 29 and 24‰ (hyposmotic) conditions for 2 and 18 h.