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Data set for Power and thrust control by passive pitch for tidal turbines
No full textThis dataset contains the thrust and torque results from blade element momentum theory and experiments on a 1.2 m diameter turbine equipped with passive pitch and fixed pitch blades. Further, the MATLAB files required to generate the article figures are included. The objective of the study was to explore the effect of freestream velocity and yaw misalignment on loads and performance of the turbine. The experiments were conducted in a recirculating open water channel at the Institute for Marine Engineering, CNR-INM, Rome. The turbine was tested with freestream speeds between 0.4 m/s and 0.7 m/s; resulting in a range of diameter-based Reynolds number, Re from 2400000 to 4200000. The turbine angular velocity was changed to obtain tip speed ratio, tsr, between 3 to 10
A Crosslinguistic Database for Combinatorial and Semantic Properties of Attitude Predicates
No full textThe database contains semantic and combinatorial properties about ∼50 clause-embedding predicates in 16 languages: Catalan, Dutch, English, French, German, Greek, Hebrew, Hindi, Italian, Japanese, Kîîtharaka, Mandarin, Polish, Spanish, Swedish and Turkish. Our data allows assessment of crosslinguistic generalizations about attitude predicates as well as discovery of new typological/crosslinguistic patterns. For more information about the database, please consult our accompanying paper: https://doi.org/10.18653/v1/2023.sigtyp-1.
Data from paper: Synaptic gene expression changes in frontotemporal dementia due to the MAPT 10+16 mutation
No full textMutations in the MAPT gene encoding tau protein can cause autosomal dominant neurodegenerative tauopathies including frontotemporal dementia (often with Parkinsonism). In Alzheimer’s disease, the most common tauopathy, synapse loss is the strongest pathological correlate of cognitive decline. Recently, PET imaging with synaptic tracers revealed clinically relevant loss of synapses in primary tauopathies; however, the molecular mechanisms leading to synapse degeneration in primary tauopathies remain largely unknown. In this study, we examined post-mortem brain tissue from people who died with frontotemporal dementia with tau pathology (FTDtau) caused by the MAPT intronic exon 10+16 mutation, which increases splice variants containing exon 10 resulting in higher levels of tau with four microtubule-binding domains. We used RNA sequencing and histopathology to examine temporal cortex and visual cortex, to look for molecular phenotypes compared to age, sex, and RNA integrity matched participants who died without neurological disease (n=12 FTDtau 10+16 and 13 controls). Bulk tissue RNA sequencing reveals substantial downregulation of gene expression associated with synaptic function. Upregulated biological pathways in human MAPT 10+16 brain included those involved in transcriptional regulation, DNA damage response, and neuroinflammation. Histopathology confirmed increased pathological tau accumulation in FTDtau10+16 cortex as well as a loss of presynaptic protein staining and region-specific increased colocalization of phospho-tau with synapses in temporal cortex. Our data indicate that synaptic pathology likely contributes to pathogenesis in FTDtau10+16 caused by the MAPT 10+16 mutation
Fresh Cement as a Frictional Non-Brownian Suspension
No full textCement is an essential construction material due to its ability to flow before later setting, however the rheological properties must be tightly controlled. Despite this, much understanding remains empirical. Using a combination of continuous and oscillatory shear flow, we compare fresh Portland cement suspensions to previous measurements on model non-Brownian suspensions to gain a micro-physical understanding. Comparing steady and small-amplitude oscillatory shear, we reveal two distinct jamming concentrations, ϕμ and ϕrcp, where the respective yield stresses diverge. As in model suspensions, the steady-shear jamming point is notably below the oscillatory jamming point, ϕμ<ϕrcp, suggesting that it is tied to frictional particle contacts. These results indicate that recently established models for the rheology of frictional, adhesive non-Brownian suspensions can be applied to fresh cement pastes, offering a new framework to understand the role of additives and fillers. Such micro-physical understanding can guide formulation changes to improve performance and reduce environmental impact. This dataset accompanies the article "Fresh Cement as a Frictional Non-Brownian Suspension" by James A. Richards, Hao Li, Rory E. O'Neill, Fraser H. J. Laidlaw and John R. Royer.This dataset contains the underlying data for the figures in https://doi.org/10.48550/arXiv.2401.09377, see readme.txt for an outline of file contents and structure
Supplementary material: Document similarity analysis
No full textThese files contain supplementary data generated in response to peer review. Peer reviewers requested that we compare online and other kinds of journalistic content, to see if there were any differences in the extent to which digital media related to the emergency imaginary. K-means clustering indicated that there seemed to be a closer relationship between digital media and the emergency imaginary, so we sought to explore why this might be.
One hypothesis, drawn from previous research, was that "emergency" reporting was informed by a group of major 'Western' wire agencies, known for their "on the spot" reporting - Agence France Presse, Associated Press, and Thomson Reuters. However, since that research was conducted, other non-Western agencies, such as Xinhua and Interfax, have grown considerably. So, we divided our original corpus of news texts into digital and non-digital content per country, and conducted document similarity tests between these corpora and the copy produced by a selection of wire agencies.
The file “similarity_analysis.xlsx” shows the results of that analysis. The variable “to.Vprop” is the measure of document similarity, as indicated by the RNewsflow package. It is the percentage of media items in our corpus from a given country/type of media that were very similar or identical to previously published copy from one of our selected wire agencies. In the written article, we mapped out which wire agencies were dominant in the media content disseminated by outlets in specific countries.
In file “all_similarities.xlsx” we present the results of the same analysis for all news sources in the sub-corpus. It includes 245 sources from 20 countries. For each news source, the variable “to.Vprop” measures the percentage of articles in the “from” column that are identical or highly similar to those in the column “to.”
Finally, the file “sources_corpus.xlsx” contains details of the sources we used for this analysis, which country they were from, how we classified them (digital/not digital) and how many media items were included in this analysis
Dataset for Single-trial detection of auditory cues from the rat brain using memristors
No full textImplantable devices hold the potential to address conditions currently lacking effective treatments, such as drug-resistant neural impairments and prosthetic control. Medical devices need to be biologically compatible while providing enhanced performance metrics of low-power consumption, high accuracy, small size and minimal latency to enable ongoing intervention in brain function. Here, we demonstrate a memristor-based processing system for single-trial detection of behaviourally meaningful brain signals within a time frame that supports real-time closed-loop intervention. We record neural activity from the reward centre of the brain, the ventral tegmental area, in rats trained to associate a musical tone with a reward and we utilize the memristors’ built-in thresholding properties to detect non-trivial biomarkers in Local Field Potentials. This approach yields consistent and accurate detection of biomarkers > 98% while maintaining power consumption as low as 4.14 /channel. The efficacy of our system’s capabilities to process real-time in-vivo neural data paves the way for low-power chronic neural activity monitoring and biomedical implants
Spectral Library of Antarctic Terrestrial Vegetation Species
No full textHyperspectral reflectance data for 35 Antarctic terrestrial vegetation species and some volcanic rocks from the maritime and continental Antarctic, including Robert Island, Livingston Island, Ryder Bay, Cape Hallett and Botany Bay. The spectral data were generated from a combination of field and lab spectroscopy completed between 2018 - 2023 and cover a wavelength range of 350 - 2500 nm. This dataset is associated with the paper: 'A satellite-derived baseline of photosynthetic life across Antarctica', published in Nature Geoscience
Neural networks weights related to "Recurrent patterns as a basis for two-dimensional turbulence: predicting statistics from structures"
No full textThe dataset contains neural network weights (checkpointed in TensorFlow) for two deep-convolutional autoencoders designed to generate low-dimensional representations of snapshots of vorticity in two-dimensional turbulence. The models have the same architecture apart from the size of the inner-most "embedding" layer. Code to construct the model architecture is also included as a python script.
For details of loss function and training protocol please see associated publication "Recurrent patterns as a basis for two-dimensional turbulence: predicting statistics from structures" (accepted in PNAS, 2024)Details of each model included in the dataset are as follows:
- "weights_DNv7a05_Re40_m128_lr0.0005_epoch0498": Size of embedding space = 128. Model trained on 100000 vorticity snapshots at a Reynolds number of Re=40. Adam optimizer with a learning rate 10^{-5}.
- "weights_DNv7a5_Re100_m512_lr0.0005_epoch0478": : Size of embedding space = 512. Model trained on 100000 vorticity snapshots at a Reynolds number of Re=100. Adam optimizer with a learning rate 10^{-5}
CARDAMOM inputs, driving data, and C-cycle model outputs to accompany "Greening of a boreal rich fen driven by CO2 fertilisation”
No full textThis archive contains the model inputs, driving data and a subset of the outputs featured in the manuscript: Thayamkottu et al. (in submission), "Greening of a boreal rich fen driven by CO2 fertilisation". Boreal peatlands store vast amounts of soil organic carbon (C) owing to the imbalance between productivity and decay rates. In the recent decades, this carbon stock has been exposed to a warming climate. During the past decade alone, the Arctic has warmed by ~ 0.75° C which is almost twice the rate of the global average. Although, a wide range of studies have assessed peatlands’ C cycling, our understanding of the factors governing source / sink dynamics of peatland C stock under a warming climate remains a critical uncertainty at site, regional, and global scales. We focused on these challenges by quantifying the driving factors of increasing production and internal plant C traits.This zip archive contains five folders. The contents include assimilated observations and field data in one folder. The model drivers, and CARDAMOM simulated outputs that are part of the manuscript are in the other two folders. The remaining two folders include a subset of the outputs generated from the two synthetic experiments. All the files are in csv format
Data supporting the manuscript "A dynamical process-based model AMmonia–CLIMate (AMCLIM) for quantifying global agricultural ammonia emissions – Part 1: Land module for simulating emissions from synthetic fertilizer use"
No full textAmmonia (NH3) emissions mainly originate from agricultural practices and can have multiple adverse impacts on the environment. With the substantial increase of synthetic fertilizer use over the past decades, volatilization of NH3 has become a major loss of N applied to land. Since NH3 can be strongly influenced by both environmental conditions and local management practices, a better estimate of NH3 emissions from fertilizer use requires improved understanding of the relevant processes. This study describes a new process-based model, AMmonia–CLIMate (AMCLIM), for quantifying agricultural NH3 emissions. More specifically, the present paper focuses on the development of a module (AMCLIM–Land) that is used for simulating NH3 emissions from synthetic fertilizer use. (Other modules, together termed as AMCLIM-Livestock, simulate NH3 emissions from agricultural livestock, are described in Part 2). AMCLIM–Land dynamically models the evolution of N species in soils by incorporating the effects of both environmental factors and management practices to determine the NH3 emissions released from the land to the atmosphere. Based on simulations for 2010, NH3 emissions resulting from the synthetic fertilizer use are estimated at 15.0 Tg N yr-1, accounting for around 17 % of applied fertilizer N.
This dataset contains netCDF (.nc) files of ammonia emissions from global synthetic fertilizer use, simulated by the AMmonia-CLIMate (AMCLIM) model