Find research datasets worth reusing

opencc-by-4.0Aug 2018View details →

BSSE_QGF_61758 (Single-cell mRNA profiling reveals the hierarchical response of miRNA targets to miRNA induction)

Fastq files from sequencing of sample BSSE_QGF_61758 Publication: https://doi.org/10.15252/msb.20188266

Data set for the publication " Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration"

This is dataset for paper published: Agazar, M.; Istrate, D.; Pradayrol, P. Evaluation of the Accuracy and Frequency Response of Medium-Voltage Instrument Transformers under the Combined Influence Factors of Temperature and Vibration. Energies 2023, 16, 5012. https://doi.org/10.3390/en16135012

Understanding the effects of stress on the P300 response during naturalistic simulation of heights exposure

Stress is a prevalent bodily response universally experienced and significantly affects a person's mental and cognitive state. The P300 response is a commonly observed brain behaviour that provides insight into a person's cognitive state. Previous works have documented the effects of stress on the P300 behaviour; however, only a few have explored the performance in a mobile and naturalistic experimental setup. Our study examined the effects of stress on the human brain's P300 behaviour through a height exposure experiment that incorporates complex visual, vestibular, and proprioceptive stimuli. A more complex sensory environment could produce translatable findings toward real-world behaviour and benefit emerging technologies such as brain-computer interfaces. Seventeen participants experienced our experiment that elicited the stress response through physical and virtual height exposure. We found two unique groups within our participants that exhibited contrasting behavioural performance and P300 target reaction response when in a stressed state (when walking at heights). One group performed worse when stressed and exhibited a significant decrease in parietal P300 peak amplitude and increased beta and gamma power. Contrarily, the group less affected by stress exhibited a change in their N170 peak amplitude and alpha/mu rhythms desynchronisation. The findings of our study suggest that a more individualised approach to assessing a person's behaviour performance under stress can aid in understanding P300 performance when experiencing stress.

Response mechanism of residual strength to meso-structure of shear surface in gravelly slip zone of ancient landslide

Response mechanism of residual strength to meso-structure of shear surface in gravelly slip zone of ancient landslide-Original data

Dataset_Physiological response of cave shrimps to salinity

A dataset containing the physiological response of three Typhlatya species to moderate or extreme acute salinity changes. Such physiological response was measured through metabolic rates, indicators of the antioxidant system (Catalase, Super superoxide dismutase, Glutathione S-transferase, and total Glutathione), cellular damage (protein carbonylation and Lipid peroxidation), and anaerobic metabolism (Lactate accumulation).

Data from: Evolution of five environmentally responsive gene families in a pine-feeding sawfly, Neodiprion lecontei (Hymenoptera: Diprionidae)

A central goal in evolutionary biology is to determine the predictability of adaptive genetic changes. Despite many documented cases of convergent evolution at individual loci, little is known about the repeatability of gene family expansions and contractions. To address this void, we examined gene family evolution in the redheaded pine sawfly Neodiprion lecontei, a non-eusocial hymenopteran and exemplar of a pine-specialized lineage evolved from angiosperm-feeding ancestors. After assembling and annotating a draft genome, we manually annotated multiple gene families with chemosensory, detoxification, or immunity functions before characterizing their genomic distributions and molecular evolution. We find evidence of recent expansions of bitter gustatory receptor (GR), clan 3 cytochrome P450 (CYP3), olfactory receptor (OR), and antimicrobial peptide (AMP) subfamilies, with strong evidence of positive selection among paralogs in a clade of gustatory receptors possibly involved in the detection of bitter compounds. In contrast, these gene families had little evidence of recent contraction via pseudogenization. Overall, our results are consistent with the hypothesis that in response to novel selection pressures, gene families that mediate ecological interactions may expand and contract predictably. Testing this hypothesis will require the comparative analysis of high-quality annotation data from phylogenetically and ecologically diverse insect species and functionally diverse gene families. To this end, increasing sampling in under-sampled hymenopteran lineages and environmentally responsive gene families and standardizing manual annotation methods should be prioritized.

Processed RNA expression count data and metadata from Gupta et al.:Systems genomics of salinity stress response in rice

We assessed gene expression variation in a population of 130 accessions of rice (Oryza sativa) belonging to the major varietal group indica. The field experiment was conducted in the dry season of 2017 at IRRI in Los Banos, Laguna, Philippines. Seeds from each accession were sown on December 16, 2016, and seedlings were then transplanted into the experimental fields at 17 days after sowing (DAS), on January 5, 2017. The field experiments was conducted across two locations close-by: one non-salinized normal field and the other salinized field. Both field environments used a randomized complete block experimental design with each accession planted in three replicates. Each experimental plot included the accessions NSICRC 222 and NSICRC 182 serving as border rows. The application of salt in Block L5 started on January 19, 2017 when the plants were 31 days old. The salinity level was monitored by recording electrical conductivity (EC), using EC meters installed in each of the parcels at a depth of 30 cm. The salinity levels were then maintained at 6 dS/m (considered mild to moderate salinity stress) until maturity. Management and maintenance of the fields included the application of basal fertilizer, spraying of insecticides against thrips and removal of plants potentially infected with the rice tungro virus disease. Tissue collection for transcriptome. Briefly, leaf collection was done at 38 DAS (8 days after the beginning of the salt treatment) in the non-saline and saline field. Transcript levels were measured using a liquid automation-based 3 prime mRNA-seq quantification approach. Samples were multiplexed in batches of 96 per library. Raw sequencing data are available at the SRA in BioProject accession number PRJNA1010833. A key to the raw sequencing data in this BioProject can be found in the metadata of the processed RNA expression count data here

Data from: Optimisation design and analysis of mobile pump truck frame using response surface methodology

In order to realize the lightweight design of mobile pump truck, this paper takes the frame of a certain type of mobile pump truck as the research object. The response surface method is used to carry out lightweight design of the longitudinal beam structure of the frame, and the finite element method is used to establish the finite element model to analyze and compare the frame before and after optimization.The results show that the height, width and thickness of the optimized longitudinal beam section are reduced by 10 mm, 11 mm, and 0.8 mm respectively, and the weight of the whole frame is reduced by 35.8 kg. Before and after optimization, the displacement and stress changes of the frame are small in four motion situations, which meet the lightweight requirements of optimization design.

opencc-by-4.0Jul 2022View details →

Data from: Electroencephalography Responses to Simplified Visual Signals Reveal Explain Differences in Speech-in-Noise Comprehension

Contents and Folder Structure: EEG Experiment <ul> <li>EEG_stimuli: these are the videos that were presented to participants in the EEG experiment, and the code that generates them from the original corpus (link)</li> <li>data_2020>split_trials: contains the raw EEG data starting 1.995s before each trial and ending 1.995s after each trial with naming convention subXx_VV_YY_N.fif where X or Xx is the subject number, YY is the modality condition (AV for audiovisual and V0 for video only), N is the trial number (between 0 and 4 inclusive), and VV is the video condition (1e for the envelope dot, 1m is the mismatched dot, 4v is the cartoon, bw is the edge detection and nh is the natural condition). <ul> <li>unprocessed>raw: contains the unprocessed raw EEG data <ul> <li>processed>Fs-200>BP-1-80-ASR-INTP-AVR: contains the pre-processed raw EEG data: the output of run_preprocessing.m</li> <li>processed>Fs-200>BP-1-80-ASR-INTP-AVR-ICr: contains the pre-processed raw EEG data after ICA cleaning: the output of run_reject_ICs.m</li> <li>stim>stim_dwnspl: contains the aligned 200Hz envelopes of the presented speech used as features for the time-lagged models</li> </ul> </li> </ul> </li> <li>EEG_analysis_code [note: please extract the contents of this folder to match paths] <ul> <li>2_ICA_filt: this folder contains the MATLAB code that performs the pre-processing of the EEG data, including filtering, downsampling, ICA cleaning etc. The main functions are: <ul> <li>run_preprocessing.m: downsampling, filtering, ASR cleaning</li> <li>run_reject_ICs.m: ICLabel ICA cleaning</li> </ul> </li> <li>3_analysis: this is the Python code that performs the TRF and backward modelling on the EEG data. The main functions are: <ul> <li>multisensory_bw.py: backwards model</li> <li>multisensory_fw.py: forwards model</li> </ul> </li> </ul> </li> </ul> Behavioural Experiment <ul> <li>behavioural <ul> <li>0_dataset: these are the videos that were presented to participants in the behavioural experiment, and the code that generates them from the original corpus (AV GRID corpus)</li> <li>3_analysis: behavioural data analysis script <ul> <li>main function: data_grid_v3.py</li> </ul> </li> </ul> </li> <li>behavioural_data>data_grid: behavioural results </li> </ul>

Supplementary material for "Filter-feeding gelatinous macrozooplankton response to climate change and implications for benthic food supply and global carbon cycle"

Simulation Outputs Description --------------------------- This text file outlines the contents of the simulation outputs utilized in the analysis presented in Clerc et al. (2023). Pre-treated outputs are not provided for storage reasons, but the complete output can be made available upon request. Spatial files are regridded to a 1-degree resolution regular grid using the treatment: cdo remapdis,r360x180 in.nc out.nc. Folder Names: -------------- Here is a brief overview of the content within each folder. - TS_PICONTROL: Globally averaged time series for the PI-control runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.) - TS_RCP85: Globally averaged time series for the RCP8.5 runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.) - TS_RCP26: Globally averaged time series for the RCP2.6 runs spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.) - EXPORT_LAYERS_PICONTROL: Time-averaged Pi-control flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.) - EXPORT_LAYERS_RCP85: Time-averaged RCP8.5 flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.) - EXPORT_LAYERS_RCP26: Time-averaged RCP2.6 flux outputs at specified depth horizons over the indicated period. (Regular 360x180 grid; Units: gC/m2/yr.) - SURFACE_LAYERS_RCP85: Vertically integrated (0-300m) time-averaged RCP8.5 outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.) - SURFACE_LAYERS_RCP26: Vertically integrated (0-300m) time-averaged RCP2.6 outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.) - SURFACE_LAYERS_PICONTROL: Vertically integrated (0-300m) time-averaged PiControl outputs over the specified period. (Regular 360x180 grid; Units: mmolC/m3.) - CHLOROPHYLL: Surface chlorophyll on a 360x180 degree grid, time-averaged over the indicated period. (Units: mg Chl/m3.) - TS_BIOME: Biome-specific averaged time series spanning 1850-2100. (Units: PgC, or PgC/yr for "fluxes" filenames.) - TS_CFLX: Globally averaged carbon uptake time series spanning 1850-2100. (Units: PgC/yr.) - BIOMES: Biome masks on a regular 360x180 grid. Filename Conventions: ----------------------- Please refer to the following conventions for filenames. MODEL: - PISCES-FFGM: SLP - PISCES-v2: STD - PISCES-GM: MAC FORCING: - Pi-control: PI - Climate-change scenario: AD PERIOD: - 1881-1900: PRI - 1995-2014: HIS - 2081-2100: FUT DEPTH: - 0-300 m: dmin0_dmax300 - 100 m: ilevel9 - 1000 m: ilevel21 - Seafloor: seafloor BIOMES: - High Chlorophyll: HC - Intermediate Chlorophyll: IC - Low Chlorophyll: LC - Southern Ocean: SO - Arctic Ocean: LCA NetCDF Variables: ------------------ - SALP: Filter-feeding gelatinous Macrozooplankton (FFGM) - ZOO3: Generic Macrozooplankton (GM) - ZOO2: Mesozooplankton - ZOO: Microzooplankton - PHY: Nanophytoplankton - PHY2: Diatoms - POC: Small particles (quantity or flux) - GOC: Large particles (quantity or flux) - SPCC: FFGM carcasses carbon (content or flux) - SPFC: FFGM fecal pellets carbon (content or flux) - MPCC: GM carcasses carbon (content or flux) - MPFC: GM fecal pellets carbon (content or flux) - CHL: Chlorophyll - Cflx: Carbon uptake - NO3: Nitrate - PO4: Phosphate - O2: Oxygen For any inquiries or data access requests, please contact corentin.clerc -at- usys.ethz.ch.

The dynamic matrix predicts population response to long-term experimental forest fragmentation

<div>Context</div> <div> </div> <div>Earth's forests are fragmented. Species' long-term persistence depends on their conservation in fragmented landscapes with remnants embedded in a matrix of human land use. This matrix influences species' persistence in fragments by determining their degree of isolation and the extent to which edge effects alter habitat. Matrix habitat is often dynamic, so its impact on persistence of remnant species changes over time.</div> <div> </div> <div>Objectives</div> <div> </div> <div>Previous research showed that the abundance response of predatory beetle species to matrix habitat predicted their response in fragments with a log-response ratio of about 0.5. When abundance declined in the matrix, there was a smaller but predictable decline in fragments. However, the predictive utility of a fragment:matrix log-response ratio needs testing with functionally different species, more detailed data, and a focus on mechanism.</div> <div> </div> <div>Methods</div> <div> </div> <div>In the Wog Wog habitat fragmentation experiment, we follow a detritivorous amphipod 27 years after forest fragmentation.</div> <div> </div> <div>Results</div> <div> </div> <div>The amphipod's response in habitat fragments was predicted by its response in the matrix with a log-response ratio of about 0.5, similar to predatory beetles. The amphipod's response was explained by its abiotic niche. The amphipod's short-term response did not predict its long-term response.</div> <div> </div> <div>Conclusions</div> <div> </div> <div>The log-response ratio might generalize across the invertebrate food web. For two groups within the Wog Wog experiment, a species' dynamic response in matrix habitat predicted its persistence in fragments. Future work should explore the generality of this finding. With knowledge of projected land use of matrix habitat, a species' matrix response could be used for management planning.</div>

Replication data for: Future response of Antarctic continental shelf temperatures to ice shelf basal melting and calving

Replication data for: Future response of Antarctic continental shelf temperatures to ice shelf basal melting and calving This manuscript is in press at Geophysical Research Letters. <a href="https://zenodo.org/api/files/e04b47c6-d136-4833-b8c6-a79f5b05eb65/SSP585FW_ensemble.tar.gz?versionId=6f33274b-a436-4850-99a8-9dac047b812b">SSP585FW_ensemble.tar.gz</a> contains data needed to replicate the figures and analysis in the manuscript.

No evidence that the widespread environmental contaminant caffeine alters energy balance or stress responses in fish

Anthropogenic sources of environmental pollution are ever-increasing as urban areas expand and more chemical compounds are used in daily life. The stimulant caffeine is one of the most consumed chemical compounds worldwide, and as a result, has been detected as an environmental contaminant in all types of major water sources on all continents. Exposure of wildlife to environmental pollutants can disrupt the energy balance of these organisms, as restoration of homeostasis is prioritised. In turn, energy allocated to other key biological processes such as growth or reproduction may be affected, consequently reducing the overall fitness of an individual. Therefore, we aimed to investigate if long-term exposure to environmentally relevant concentrations of caffeine had any energetic consequences on wildlife. Specifically, we exposed wild eastern mosquitofish (Gambusia holbrooki) to one of three nominal concentrations of caffeine (0, 100, and 10,000 ng/L) and assayed individuals for metabolic rate, general activity, antipredator and foraging behaviour, and body size as measures of energy expenditure or energy intake. We found no differences in any measured traits between any of the given exposure treatments, indicating that exposure to caffeine at current environmental levels may not adversely affect the energy balance and fitness of vulnerable freshwater fish.

White-tailed deer responses to predator cues depend upon past land use and contemporary fire regime

Prey can assess immediate risk of predation by detecting cues of predator presence, and it is expected that prey should invest in costly antipredator behaviors when a cue of predator presence is detected. Features of the habitat in which the cue is detected, such as vegetative concealment, serve as indirect cues of risk and can mediate how prey respond to direct cues of predator presence. Past agricultural land use and contemporary fire regime are common disturbances that may modify prey perceptions of risk and could therefore alter prey responses to direct cues of predator presence. We examined whether the overlap of these two disturbances affected white-tailed deer (Odocoileus virginianus) responses to cues of predator presence by measuring deer vigilance and foraging bout duration in response to coyote (Canis latrans) vocalizations across 20 woodlands that varied in past land use and contemporary fire regime. Frequent fire regimes consistently increased deer visibility to predators across both land-use history contexts. Deer exhibited no behavioral response to the predator cue in habitats containing infrequent fire regimes or agricultural legacies. Deer responded to the cue in frequently burned woodlands without agricultural legacies through increased vigilance and duration spent at a foraging location. These findings reveal that land-use legacies and contemporary fire regimes can mediate how prey respond to direct cues of risk. They also suggest that prey may balance the uncertainty associated with cues of predation risk with the urgency of responding to a potential attack by being vigilant and remaining in place.

opencc-by-4.0Sep 2023View details →

Data for 'Surface heat fluxes drive a two-phase response in Southern Ocean mode water stratification'

The files contained here are the output/sensitivity files of four adjoint sensitivity experiments in ECCOv4r2 that are combined to create the sensitivity of large-scale stratification to surface heat flux. (-f/Delta z) * (-alpha * (ADJqnet_t1 - ADJqnet_t2) + beta * (ADJqnet_s1 - ADJqnet_s2)) (Equation 7 in paper, where C = net heat flux).  The files contained here are the output/sensitivity files for 6 years at 14 day time steps. ADJqnet_t1: (d J_1(theta_u)/ d qnet), Sensitivity of potential temperature over the upper depths to net heat flux. ADJqnet_t2: (d J_2(theta_l)/ d qnet), Sensitivity of potential temperature over the lower depths to net heat flux. ADJqnet_s1: (d J_3(salt_u)/ d qnet), Sensitivity of salinity over the upper depths to net heat flux. ADJqnet_s2: (d J_4(salt_l)/ d qnet), Sensitivity of salinity over the lower depths to net heat flux.   Paper Abstract: Subantarctic mode waters (SAMW) have low stratification and are formed through subduction from thick winter mixed layers in the Southern Ocean. To investigate how external forcing affects the stratification in mode water formation regions in the Southern Ocean, we conduct a set of adjoint sensitivity experiments. The objective function is the annual-average stratification over the mode water formation region, which is evaluated from potential temperature and salinity adjoint sensitivity experiments. The analysis of impacts, from the product of sensitivities and forcing variability, identifies the separate effects of the wind stress, heat flux, and freshwater flux, revealing that the dominant control on stratification is from surface heat fluxes, as well as a smaller effect from zonal wind stress. The adjoint sensitivities of stratification to surface heat flux reveal a surprising change in sign over 2 years lead time. Surface cooling leads to the expected initial local decrease in stratification. However, there is a delayed response to surface cooling leading to an increase in stratification. This delayed response in stratification involves atmospheric damping of the surface thermal contribution, so that eventually the oppositely-signed advective haline contribution dominates. This two-phase response of stratification is found to hold over mode water formation regions in the South Indian and Southeast Pacific sectors of the Southern Ocean, where there are strong advective flows linked to the Antarctic Circumpolar Current.

Asymmetric responses of abundance and diversity of N-cycling genes to altered precipitation in arid grasslands

Precipitation changes exert a fundamental effect on the nitrogen (N) cycle in water-limited grasslands. Soil microbes are essential drivers of N cycle, and the rates and their stabilities of interrelated N-cycling processes are reflected by the abundance and diversity of N-cycling genes. Yet, little is known about how altered precipitation affects the genes involved in the entire N-cycling pathways. By combining a 6-year precipitation manipulation experiment (-30%, ambient, +30%, +50%) with metagenomic sequencing, we investigated the responses of N-cycling gene abundance and diversity to altered precipitation at two soil depths (0-10 and 30-50 cm). We found that increased precipitation enhanced the abundance of numerous key genes, leading to an acceleration of N turnover, but decreased the diversity of ammonium assimilation genes. Decreased precipitation did not reduce abundance or diversity of N-cycling genes. Most N-cycling genes showed generally consistent responses to altered precipitation in the topsoil (0-10 cm) and subsoil (30-50 cm), albeit with clear distinctions in both abundance and diversity by soil depth. These precipitation-specific responses and depth-dependent variabilities of functional genes were attributed to the distinct taxonomic composition of each N-cycling gene. Further, we quantified gross N transformation rates and found that they were well predicted by the abundance of most N-cycling genes (e.g., genes involved in ammonium assimilation and nitrification). Our study sheds new light on the soil N cycle under precipitation alterations from the perspective of individual gene abundance and diversity, and shows that future increases in precipitation could accelerate soil N turnover in arid and semi-arid lands.

Experiencing short heat waves early in development changes thermal responsiveness of turtle embryos to later heat waves

Although physiological responses to the thermal environment are most frequently investigated using constant temperatures, the incorporation of thermal variability can allow for a more accurate prediction of how thermally sensitive species respond to a rapidly changing climate. In species with temperature-dependent sex determination (TSD), developmental responses to incubation temperature are mediated by several genes involved in gonadal differentiation. Kdm6b and Dmrt1 respond to cool incubation temperatures and are associated with testis development, while Foxl2 and Cyp19A1 respond to warm incubation temperatures and are associated with ovary development. Using fluctuating incubation temperatures, we designed two studies, one investigating how conflicting thermal cues affect the timing of commitment to gonadal development, and another investigating the rapid molecular responses to conflicting thermal cues in the red-eared slider turtle (Trachemys scripta). Using gene expression as a proxy of timing of commitment to gonadal fate, results from the first study show that exposure to high amounts of conflicting thermal cues during development delays commitment to gonadal fate. Results from the second study show that Kdm6b splice variants exhibit differential responses to early heat wave exposure, but rapidly (within 2 days) recover to pre-exposure levels after the heat wave. Despite changes in the expression of Kdm6b splice variants, there was no effect on Dmrt1 expression. Collectively, these findings demonstrate how short exposures to heat early in development can change how embryos respond to heat later in development.

Contaminated sediment in the Detroit River selects for evolved CYP1A and p53 responses in wild brown bullhead (Ameiurus nebulosus) populations

<div> <div> In a previous study, adaptive responses to a single polycyclic aromatic hydrocarbon (PAH), benzo[a]pyrene (BaP), were identified in brown bullhead (Ameiurus nebulosus) captured from contaminated sites across the Great Lakes. The tumor suppressor p53 and phase I toxin metabolizing CYP1A genes showed a protective and refractory response, respectively, up to the F1 generation (Williams and Hubberstey, 2014). As an extension to the first study, bullhead were exposed to sediment collected from sites along the Detroit River to see if these adaptive responses are attainable when fish from a contaminated site are exposed to a mixture of contaminants, instead of a single compound. p53 and CYP1A proteins were measured in both studies with the addition of phase II glutathione-s-transferase (GST) activity in the second. Three treatment groups were measured: acute (treated immediately), cleared (depurated for three months and subsequent treatment), and farm raised F1 offspring. All three treatment groups were exposed to clean and contaminated sediment for 24 and 96 hours. Acute fish from contaminated sites exposed to contaminated sediment revealed an initial elevated p53 response that was not reached in cleared fish exposed to contaminated sediment. Instead, cleared and F1 bullhead from clean and contaminated sites had overlapping p53 expression patterns in response to contaminated sediment by 96 hours. Acute fish from contaminated sites exposed to contaminated sediment revealed refractory CYP1A expression, which disappeared in cleared fish and whose F1 refractory response overlapped with clean site F1 offspring. Decreasing GST activity was evident in both clean and contaminated fish over time, with clean site fish responding to contaminated sediment more deliberately. By 96 hours, the response patterns of F1 offspring from clean and contaminated sites to clean and contaminated sediment exposures were similar. </div> <div> Because p53, CYP1A and GST activity responses to contaminated sediment dosing overlapped in clean and contaminated farm-raised F1 offspring, these results suggest that contaminated fish have acclimated to the contaminants present in their environments by reaching a tolerance threshold and no evidence of adaptation was detected in these biomarkers. </div> </div>

opencc-by-3.0Sep 2023View details →

Supplementary Information to the Consultation on the Progress Report of the Financial Sustainability Task Force: Responses

This document contains the responses received in the consultation carried out by the Financial Sustainability Task Force of the EOSC Association (TF FinSust in the following) to obtain feedback on their Progress Report. The link to the Report can be found on the page about the Task Force at the website of the EOSC Association (<a href="https://www.eosc.eu/advisory-groups/financial-sustainability">https://www.eosc.eu/advisory-groups/financial-sustainability</a>). The questionnaire is available in Zenodo (<a href="https://doi.org/10.5281/zenodo.8334658">https://doi.org/10.5281/zenodo.8334658</a>)

Prediction of Individual Autism Diagnostic Observation Schedule (ADOS) scores based on neural responses during live eye-to-eye contact

Social difficulties are impactful in autism spectrum disorder (ASD), and links between these difficulties and underlying neural processes are active research questions. We present a multivariate classification method for neural data acquired from 36 participants during a live eye-to-eye contact task. Participants were either typically developed (TD) or diagnosed as ASD through gold-standard Autism Diagnostic Observation Schedule (ADOS) evaluation. We hypothesized multivariate classification could discriminate TD vs. ASD based on neural responses. Support vector machine (SVM) classification was able to discriminate between groups during the eye-contact interaction. In addition, it was found that underlying neural patterns contributing to binary classification also predicted measured ADOS scores with high correlation even though ADOS scores were not used for training. The correlation between observed and predicted ADOS scores was 0.72 (p < 0.002) for eye-to-eye contact. These findings suggest neural responses to live eye-to-eye contact are predictive of social symptomatology in ASD.