ROCK MAGNETIC PROPERTIES OF THE L5 ORDINARY CHONDRITE DAULE

This thesis presents the results from rock magnetic experiments on the Daule L5 ordinary chondrite meteorite. The utilized rock magnetic techniques include thermomagnetic analyses in weak and strong magnetic fields, measurements of natural remanent magnetization and thermal demagnetization behavior, temperature dependence of strong field remanence imparted at 1.8 K, magnetic hysteresis, and first-order reversal curves. Additionally, scanning electron microscopy with energy-dispersive x-ray spectroscopy was employed to constrain the composition and grain size distribution of the magnetic mineral assemblage. At room temperature, the magnetic properties are dominated by multidomain FeNi alloys but low-temperature measurements reveal that the remanent magnetization signal is carried by non-stoichiometric chromite. The results indicate the importance of considering magnetic properties at cryogenic temperatures when studying the early Solar System and interpreting magnetic data from cold, extraterrestrial environments. The results also highlight the possibility of chromite playing a key role in the early stages of the formation of planetesimals

Intrinsic paleointensity bias and the long-term history of the geodynamo

Many geodynamo models predict an inverse relationship between geomagnetic reversal frequency and field strength. However, most of the absolute paleointensity data, obtained predominantly by the Thellier method from bulk volcanic rocks, fail to confirm this relationship. Although low paleointensities are commonly observed during periods of high reversal rate (notably, in the late Jurassic), higher than present-day intensity values are rare during periods of no or few reversals (superchrons). We have identified a fundamental mechanism that results in a pervasive and previously unrecognized low-field bias that affects most paleointensity data in the global database. Our results provide an explanation for the discordance between the experimental data and numerical models, and lend additional support to an inverse relationship between the reversal rate and field strength as a fundamental property of the geodynamo. We demonstrate that the accuracy of future paleointensity analyses can be improved by integration of the Thellier protocol with low-temperature demagnetizations

Additional file 3 of The effectiveness of non-pharmacological sleep interventions for people with chronic pain: a systematic review and meta-analysis

Additional file 3

Static electricity passively attracts ticks onto hosts - data

Data associated with the publication "Static electricity passively attracts ticks onto hosts

Dataset for 'Self-processing in relation to emotion and reward processing in depression'

This dataset is for a study examining the role of self processing in relation to emotion and reward processing in depression. Participants (n = 144) with varying levels of depression symptoms completed cognitive tasks measuring self processing independently and in combination with emotion and reward processing over two session approximately one week apart. This dataset contains the raw trial level and cleaned aggregate data used for analysis for each of these cognitive tasks (Associative Learning, Go/No-Go Self-Esteem, Social Evaluation Learning), self-report questionnaire data for mood, demographics and output from the clinical interview schedule-revised (.csv, .xlsx and .RDA files). Code used for cleaning and analysis is also provided in the form of R Notebook files

Dataset for 'Self-processing in relation to emotion and reward processing in depression'

This dataset is for a study examining the role of self processing in relation to emotion and reward processing in depression. Participants (n = 144) with varying levels of depression symptoms completed cognitive tasks measuring self processing independently and in combination with emotion and reward processing over two session approximately one week apart. This dataset contains the raw trial level and cleaned aggregate data used for analysis for each of these cognitive tasks (Associative Learning, Go/No-Go Self-Esteem, Social Evaluation Learning), self-report questionnaire data for mood, demographics and output from the clinical interview schedule-revised (.csv, .xlsx and .RDA files). Code used for cleaning and analysis is also provided in the form of R Notebook files

Dataset for 'Self-processing in relation to emotion and reward processing in depression'

This dataset is for a study examining the role of self processing in relation to emotion and reward processing in depression. Participants (n = 144) with varying levels of depression symptoms completed cognitive tasks measuring self processing independently and in combination with emotion and reward processing over two session approximately one week apart. This dataset contains the raw trial level and cleaned aggregate data used for analysis for each of these cognitive tasks (Associative Learning, Go/No-Go Self-Esteem, Social Evaluation Learning), self-report questionnaire data for mood, demographics and output from the clinical interview schedule-revised (.csv, .xlsx and .RDA files). Code used for cleaning and analysis is also provided in the form of R Notebook files

Dataset for "The effect of acute citalopram on self-referential emotional processing and social cognition in healthy volunteers"

This dataset is for a study examining whether acute administration of citalopram is associated with an increase in positive affective learning biases about the self and increases in prosocial behaviour. 41 healthy volunteers were randomised to either an acute 20 mg dose of citalopram (n = 20) or matched placebo (n = 21) in a between-subjects double-blind design. Participants completed computer-based cognitive tasks designed to measure referential affective processing, social cognition and expression of prosocial behaviours. This included a prisoners' dilemma task, the social evaluation learning task, a referential categorisation and recall task, an affective go/no-go association task and simple associative learning tasks. Participants also completed trait measures of mood and personality at baseline, and state measures of mood and side effects at baseline, post-drug and post-testing timepoints. Data for all questionnaire and cognitive task measures are included in this dataset in both raw and aggregated formats