cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vpgzg24h8g
title: Self-reports map the landscape of task states derived from brain imaging.

description: Data for Mckeown, Goodall-Halliwell et al. (2024) "Self-reports map the landscape of task states derived from brain imaging."

Summary: Psychological states influence our happiness and productivity; however, estimates of their impact have historically been assumed to be limited by the accuracy with which introspection can quantify them. Over the last two decades, studies have shown that introspective descriptions of psychological states correlate with objective indicators of cognition, including task performance and metrics of brain function, using techniques like functional magnetic resonance imaging. Such evidence suggests it may be possible to quantify the mapping between self-reports of experience and ‘ground-truth’ or biologically related representations of those states (e.g., those inferred from measures of brain activity). Here, we used machine learning to show that self-reported descriptions of experiences across tasks can reliably map the objective landscape of task states derived from brain activity. In our study, participants provided descriptions of their psychological states while performing tasks for which the contribution of different brain systems was available from prior fMRI studies. We used machine learning to combine these reports with descriptions of brain function to form a ‘state-space’ that reliably predicted patterns of brain activity based solely on unseen descriptions of experience. Our study demonstrates that introspection contains information that maps the objective task landscape inferred from brain activity.

Original Sample: 194 participants were recruited to complete the full 14-task battery in a behavioural laboratory. Demographic information was missing for four participants due to errors in data collection. These four participants were excluded from all analyses, resulting in a final sample of 190 participants. Of these 190 participants, 164 identified as women, 24 as men, and two as non-binary or similar gender identity. Mean age of participants was 18.56 years (SD = 1.09, range = 17 to 24 years). All 190 participants contributed 38 observations each, resulting in 7220 total observations.

Replication: 101 participants were recruited to complete a subset of 4 tasks from the full 14-task battery. Demographic information was missing for five participants due to errors in data collection. These five participants were excluded from all analyses. In addition, one participant was removed from analyses as they were missing over half their data due to a technical error during data collection, leaving a final sample of 95 participants. Of the remaining 95 participants, 87 identified as women, 6 as men, and 2 as non-binary or similar gender identity. Mean age of participants was 18.24 years (SD = 1.05, range = 17 to 24 years). 94 out of 95 participants contributed 11 observations each, with one participant missing one observation due to a technical error in data collection, resulting in 1044 total observations.
DOI: 10.17632/vt65mjfhpv
title: Systematic review videogames and executive functions in adolescence and early adulthood

description: Database with all the reviewed articles (n=1093), together with the exclusion criteria applied for the elaboration of the paper titled "The role of videogames in mediating executive functions in adolescence and early adulthood: a systematic review"
DOI: 10.6084/m9.figshare.14658810.v1
title: DATASET Consumo de pornografía, salud sexual y conductas de riesgo de VIH

description: Consumo de pornografía, salud sexual y conductas de riesgo de VIH
DOI: 10.6084/m9.figshare.19410197.v2
title: HIE and electrical activity

description: EEG Data of patients who have history of HIE
DOI: 10.60893/figshare.jva.26496727.v1
title: Supplemental Information

description: Supplemental
DOI: 10.17632/rndjcnbb34
title: Data for: Trade Liberalization, Agency Problem and Aggregate Productivity

description: Original data for empirical analysis
DOI: 10.17632/zd3xx54j62
title: Code & data – Understanding factors influencing the estimated genetic variance and the distribution of breeding values

description: The enclosed files are different formats of two Jupyter Notebooks written in R programming language. One notebook uses the wheat data from R package BGLR, and the other simulates and uses data using R package pedSimulate. This work is about finding distribution properties of the genetic relationship matrix (K) and its inverse (used in best linear unbiased prediction (BLUP)) influencing the genetic variance, the estimated heritability (h^2), and the variance of estimated breeding values. The main factors influencing the distribution of estimated breeding values are the phenotypic variance, estimated h^2, and K^-1. Matrices K and K^-1 underwent transformations to find the distribution properties of these two matrices affecting the estimated h^2 and the distribution of estimated breeding values.
DOI: 10.6084/m9.figshare.4986368.v7
title: Task-oriented complex alignments on conference organisation

description: This archive contains two complex alignment sets between 5 ontologies of the OAEI conference track dataset : cmt, conference, confOf, edas and ekaw. <br><br>One alignment set is designed for <i>ontology merging.<br></i>The other alignment set is designed for <i>query rewriting.</i><br><br>The alignments were manually created tfollowing a methodology.<br><br>The dataset is structured as follow:<br><b><i>- Readme.md</i></b>: Readme file detailing the structure of the files <br><i><b>- Conference_track_ontologies</b></i>: The ontologies of the conference track dataset<br><i>- <b>Ontology_merging_alignments</b></i>: The alignments created in the purpose of ontology merging in 3 formats: First order logic (FOL), EDOAL and OWL axioms.<br><i>- <b>Query_rewriting_alignments</b>:</i> The alignments created in the purpose of query rewriting in 2 formats: FOL and EDOAL.- <i>approaches_output.ods</i>: Output of 3 approaches on this dataset:<br> - <i>Ritze2009: </i>Ritze, D., Meilicke, C., Sváb-Zamazal, O., & Stuckenschmidt, H. (2009, October). A pattern-based ontology matching approach for detecting complex correspondences. In <i>ISWC Workshop on Ontology Matching, Chantilly (VA US)</i> (pp. 25-36).<br> - <i>Ritze 2010: </i>Ritze, D., Völker, J., Meilicke, C., & Sváb-Zamazal, O. (2010). Linguistic analysis for complex ontology matching. In <i>CEUR Workshop Proceedings</i> (Vol. 689, pp. Paper-1). RWTH.<br> - <i>Jiang2016: </i>Jiang, S., Lowd, D., Kafle, S., & Dou, D. (2016). Ontology matching with knowledge rules. In <i>Transactions on Large-Scale Data-and Knowledge-Centered Systems XXVIII</i> (pp. 75-95). Springer, Berlin, Heidelberg.<br><br><br><br>
DOI: 10.17632/3kj4zw8jkd
title: Transmission Line Signals

description: Fault transmission line signals generated using MatLab.

Dataset 1:
a) Voltage: 500 kV;
b) Line length: 300 km;
c) Type of fault: AG, BG, CG, AB, BC, CA, ABG, BCG, CAG, and ABC;
d) Distance at which the fault occurred relative to the local bus: 20 km, 150 km, 280 km;
e) Fault application angle: varies between 0° and 180° with a step of 10°;
f) Fault occurrence resistance: 1 Ω, 50 Ω, 100 Ω;
g) Fundamental frequency: 60 Hz;
h) Samples per cycle: 256;
i) Sampling frequency: 15360 Hz.
Example:
Filename: sim_Chesf_500_Classifier_LOC3_AB_20_30_1.0000.mat
Characteristics: AB fault, distance 20 km, angle of 30°, resistance of 1 Ω

Dataset 2:
The data are in two variables, voltage and current.
The variables have many dimensions, containing the variations.
The following explains what each dimension means:

#1: the voltage or current signal
#2: phase 1-A, 2-B, 3-C
#3: fault distance 1-20 km, 2-150 km, 3-280 km
#4: fault resistance 1-1 Ω, 2-50 Ω, 3-100 Ω
#5: compensation variation 1-0.4, 2-0.5, 3-0.6, 4-0.7
#6: fault angle variation
Example:
Signal V_AG(:,1,1,1,1,10)
Characteristics: voltage signal of phase A of an AG type fault that occurred at 20 km, with a fault resistance of 1 Ω, a compensation rate of 0.4, and a fault angle of 90°.
DOI: 10.17632/fsy7m755g6
title: Engagement in Mobile and Wearable Health Monitoring for Bipolar Disorder

description: We studied engagement in mobile and wearable health monitoring for individuals with bipolar disorder. Four hypotheses were identified prior to study start: (1) participants have equal preference for the app as the Fitbit; (2) participants have equal overall adherence to the app as the Fitbit; and adherence rates were equal between study arms for the (3) Fitbit and (4) app.
DOI: 10.6084/m9.figshare.29149838.v1
title: Gut Microbiome Data from a Clinical Trial on Mare's Milk Intake in Psoriasis Patients

description: This dataset supports the study titled <i>“Modulating Psoriasis Microbiome: A Clinical Trial on Mare's Milk Impact.”</i> Psoriasis is a chronic inflammatory skin condition associated with gut microbiome dysbiosis. This non-randomized controlled trial investigated the effects of daily ingestion of freeze-dried mare’s milk over 12 weeks in adult psoriasis patients.The study included 50 adult participants (20 psoriasis cases and 30 controls), with faecal samples collected at baseline (Week 1), Week 6, and Week 12. Microbiome profiling was conducted via 16S rRNA gene sequencing. This dataset includes raw and processed microbiome sequencing data, metadata (age, group, timepoint, PASI scores), and statistical outputs relevant to alpha and beta diversity, taxonomic changes, and effect size estimations.The most notable findings include a psoriasis-associated reduction in the phylum Actinobacteriota, which was significantly restored following mare’s milk intake, alongside clinical improvements in PASI scores. This dataset may be reused for comparative microbiome studies, validation of psoriasis-associated microbial signatures, or investigations of prebiotic interventions in skin-gut axis disorders.
DOI: 10.6084/m9.figshare.988624.v4
title: Slides and images for talks and posters

description: This file set contains slides and figures commonly used in talks or posters present by myself, colleagues, or others in the PaleoEcology and Fire Ecology Lab.
DOI: 10.17632/bvbzbh65nz
title: Data for: Evolution of the Indochina Block from its formation to amalgamation with Asia: constraints from protoliths in the Kontum Massif, Vietnam

description: Chemical and isotopic data for metamorphic rocks in the Kontum Massif
DOI: 10.6084/m9.figshare.11809470.v1
title: Berkeley Multimodal Human Action Database (MHAD)

description: Data.rar: generated synthetic MI motion data corresponding to each MoCap sample in separate fileData.npy: generated synthetic MI motion dataset in one numpy file
DOI: 10.6084/m9.figshare.16695457.v4
title: Phodopus roborovskii assembly

description: De novo genome assembly of Phodopus roborovskii from ONT and Illumina data.
DOI: 10.17632/4m54tfbv34
title: Transcripts:  Selection of excerpts from Dan Andrews' media conferences in 2020

description: This data set contains the transcripts of excerpts from a selection of media conferences by the Hon Dan Andrews MLA, Premier of Victoria, held between August and November 2020.  These media conferences were held in the context of the lockdown of Melbourne and the wider state of Victoria due to COVID-19.  The excerpts are the portion of the media conference in which the Premier presented his prepared remarks.  The excerpts do not include the questions and answer session with journalists which followed his remarks.  

The rationale for the selection of transcripts for analysis is also available here.
DOI: 10.17632/83j5bh76hj
title: UCM_ESP8266_DDoS

description: The UCM_ESP8266_DDoS2024 dataset is a detailed collection of data aimed at improving the understanding of Distributed Denial of Service (DDoS) attacks against IoT devices, specifically the ESP8266 module. This dataset documents various types of DDoS attacks including TCP SYN flood, ICMP flood, Slowloris, Slow post and UDP flood to provide insight into their impact on the functionality and availability of IoT devices.

Data collection was performed on the local network using a DDoS app tool to simulate the attacks. Network traffic was captured using Wireshark software, and the dataset is available in PCAP and CSV formats for detailed analysis. The captured data includes key attributes such as timestamps, source and destination IP addresses, protocols, packet lengths, and port numbers.

The primary goal of this dataset is to enable the simulation and analysis of DDoS attacks on IoT devices, providing a resource for researchers focused on cybersecurity and IoT device protection. By examining network traffic logs and captured packets, researchers can identify attack patterns, understand the dynamics of different types of DDoS attacks, and develop effective mitigation mechanisms.

The attacks in the dataset follow each other in the following segments:
Segment 1: TCP SYN flood (Start: 9.255660 s, End: 46.659701 s)
Success: server did not respond to SYN packets, completely prevented from accessing the web page.

Segment 2: ICMP flood (Start: 88.087682 s, End: 134.077894 s)
Success rate: first connection attempt failed, second attempt was successful but with significant delay.

Segment 3: Slowloris (Start: 230.937268 s, End: 264.143622 s)
Success rate: server did not respond to any connection attempts, completely prevented access.

Segment 4: Slow post (Start: 160.489993 s, End: 205.522431 s)
Success rate: some connections were successful but with significant delay, others failed due to server overload.

Segment 5: UDP flood (Start: 298.311444 s, End: 328.497240 s)
Success rate: the connection was successful but with a significant delay.

The UCM_ESP8266_DDoS2024 dataset serves as a valuable tool for analyzing and developing defenses against DDoS attacks on IoT devices. It provides a practical resource for researchers and cybersecurity practitioners to effectively simulate, analyze, and mitigate DDoS attacks.
DOI: 10.17632/9b262xmtm9
title: Multiplexed in Situ Imaging Mass Cytometry Analysis of the Human Endocrine Pancreas and Immune System in Type 1 Diabetes: Part 1

description: The interaction between the immune system and endocrine cells in the pancreas is crucial for the initiation and progression of type 1 diabetes (T1D). Imaging mass cytometry (IMC) enables multiplexed assessment of the abundance and localization of more than 30 proteins on the same tissue section at 1 µm resolution. Herein, we have developed a panel of 33 antibodies that allows for the quantification of key cell types including pancreatic exocrine cells, islet cells, immune cells, and stromal components. We employed this panel to analyze 12 pancreata obtained from donors with clinically diagnosed T1D and 6 pancreata from non-diabetic controls. In the pancreata from donors with T1D, we simultaneously visualized significant alterations in islet architecture, endocrine cell composition, and immune cell presentation. Indeed, we demonstrate the utility of IMC to investigate complex events on the cellular level that will provide new insights on the pathophysiology of T1D. The dataset here include raw data acquired from the IMC platform. FFPE sections from 18 donors were used for IMC acquisition. Image resolution is 1 μm per pixel.
DOI: 10.17632/9hk6td46yz
title: Databases for Bibliometric Analysis of diesel Production from lignocellulosic biomass

description: A bibliometric analysis was conducted to identify trends in research activity (published articles) and innovation potential (patent applications) on diesel production from lignocellulosic biomass. The Web of Science, Compendex, and Scopus databases were used to retrieve articles and Derwent Innovation was searched for patent documents. The data of interest were: the objectives of the articles/patents, the processes and technologies used, the journals, the countries of origin, the institutions involved, the authors and their affiliations, the author keywords, and the most cited articles.
DOI: 10.6084/m9.figshare.21829017.v3
title: Geographical subdivision of Alviniconcha snail populations in the Indian Ocean hydrothermal vent regions

description: The data include input data used for molecular analyses in the study "Geographical subdivision of Alviniconcha snail populations in the Indian Ocean hydrothermal vent regions."
DOI: 10.6084/m9.figshare.5172478.v1
title: Ultraconserved elements (UCEs) resolve the phylogeny of Australasian smurf-weevils

description: Alignments of final UCE loci in "Ultraconserved elements (UCEs) resolve the phylogeny of Australasian smurf-weevils" 2017, contains phylips for 368 loci
DOI: 10.6084/m9.figshare.5709757.v1
title: Wind erosion simulation

description: Wind erosion simulation
DOI: 10.6084/m9.figshare.96407.v1
title: Nucleotide sequences of metabolic housekeeping genes from 19 C. jejuni genomes

description: Metabolic housekeeping genes from 19 <i>C. jejuni</i> genomes that include seven <i>C. jejuni</i> ST-474 genomes sequenced at Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Palmerston North, New Zealand. These are nucleotide sequences presented in FASTA format. CJ11168: <i>C. jejuni</i> subsp. <i>jejuni</i> 11168, CJ260.94: <i>C. jejuni</i> subsp. <i>jejuni</i> 260.90, CJ81116: <i>C. jejuni</i> subsp. <i>jejuni</i> 81116, CJ81176: <i>C. jejuni</i> subsp. <i>jejuni</i> 81-176, CJ8421: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-21, CJ8425: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-25, CJ8486: <i>C. jejuni</i> subsp. <i>jejuni</i> 84-26, CJ9313: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-13, CJ936: <i>C. jejuni</i> subsp. <i>jejuni</i> 93-6, CJD: <i>C. jejuni</i> subsp. doylei, CJIA3902: <i>C. jejuni</i> subsp. <i>jejuni</i> IA3902, CJRM1221: <i>C. jejuni</i> subsp. <i>jejuni</i> 1221, H22082: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 AEIO00000000.1 (H: from human clinical case), H704: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case), P110b: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 000242395.2 (P: from poultry), P179a : <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P569a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), P694a: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (P: from poultry), H73020: <i>C. jejuni</i> subsp. <i>jejuni</i> ST 474 (H: from human clinical case).
DOI: 10.17632/ytn823rw8j
title: Clip #12

description: Road footage recorded using Logitech C525 webcam on Perodua Kancil 660 EX. The recorded steering wheel angle and vehicle speed are in degree and km/h, respectively. For synchronization, road footage, steering wheel angle, and vehicle speed data are recorded in 1/30 second step size.
DOI: 10.17632/zk2k6tnknt
title: Metabolomics for Early-stage Lung Adenocarcinoma

description: We performed untargeted metabolomics study, and divided participants into four groups: early-stage lung adenocarcinoma group (E-LUAD, n=21), healthy control group(HC, n=17), noncancerous lung diseases group (NCC, n=17), and advanced lung adenocarcinoma group (A-LUAD, n=25). Plasma metabolite levels that differed in the E-LUAD group compared to the other three groups were identified by liquid chromatography-mass spectrometry (LC-MS).
DOI: 10.6084/m9.figshare.24873135.v1
title: Urban greenspace function

description: We examined differences in eight soil ecosystem services, and their average value, and 23 separate attributes at 56 greenspace-natural paired sites, and sought to explore the major factors associated with the differences between greenspaces and adjacent natural areas. Such a study gives us the opportunity to assess the value of greenspaces as functional soil islands within a matrix of urban development and provides valuable insights into the extent to which management actions might be required to maintain their ability to provide services at a level similar to natural systems from which they were derived
DOI: 10.17632/kttftfsv46
title: Data for: Productivity and Trade Dynamics in Sudden Stops

description: Replication package for "Productivity and Trade Dynamics in Sudden Stops."
DOI: 10.17632/mkpff3wkks
title: Perceived Parenting styles and Distress Tolerance of Adolescents with Obsessive-compulsive Disorder: Mediating Role of Anxiety Sensitivity

description: The study aimed to examine the role of anxiety sensitivity as a mediator between perceived parenting styles and distress tolerance. Using a single-group cross-sectional research design, data from 218 adolescents (104 males and 114 females) aged 12-17 years with clinically significant symptoms of OCD, recruited through purposive sampling, were collected using standardized self-report measures including the Perceived Parenting Styles Scale (PPSS), the Anxiety Sensitivity Index-3 (ASI-3) and the Distress Tolerance Scale (DTS). After obtaining the ethical approval of the Institutional Ethical Committee of Amity Institute of Behavioural (Health) and Allied Sciences, Amity University Uttar Pradesh, the data were collected via purposive sampling with the help of questionnaires hand-filled by patients, with the assistance of their legally accepted representatives (LARs) and the respective clinician as required, with clinically significant symptoms of OCD from mental healthcare settings in Delhi NCR after obtaining their requisite permissions. Assent was sought for participation from adolescents between 12 to 17 years of age, who met inclusion criteria after the required screening, as well as the informed consent form was obtained from their parents or LARs, following which data were collected through the aforementioned self-report instruments. No fee or remuneration was provided for their participation.
DOI: 10.6084/m9.figshare.20449395.v1
title: Synthetic case

description: This item is used in the publication "Computationally-feasible uncertainty quantification in model-based landslide risk assessment" published in <em>Frontiers in Earth Science: Geohazards and Georisks</em>.
DOI: 10.6084/m9.figshare.94031.v2
title: Multiple Sequence Alignment of Influenza Hemagglutinin Protein Sequences

description: The NCBI influenza virus resource was used to download 11,981 full-length, non-redundant Influenza hemagglutinin protein sequences (August 2011). Homologs were aligned using MUSCLE and saved in MSF format. Sequence names formatted for use by JProfileGrid v2.0 grep filtering feature. Dataset for reference: Roca AI, et al. ProfileGrids Solve the Large Alignment Visualization Problem: Influenza Hemagglutinin Example. F1000Research 2:2 (2013)
DOI: 10.6084/m9.figshare.9987191.v1
title: MOESM13 of Selection of candidate genes controlling veraison time in grapevine through integration of meta-QTL and transcriptomic data

description: Additional file 13. Lists of candidate genes in ver/ph meta-QTLs intervals with the corresponding genomic positions derived by anchoring to the genome and CRIBIv1 annotation. GO annotation was included only for genes with GOs related to expression regulation, signalling or development (GO:0000166, GO:0003676, GO:0003677, GO:0003682, GO:0003700, GO:0005102, GO:0005634, GO:0007154, GO:0007165, GO:0007275, GO:0009653, GO:0009719, GO:0009791, GO:0009908, GO:0016301, GO:0030154, GO:0038023, GO:0040007) representing most relevant positional candidates for veraison regulation according to functional annotation.
DOI: 10.17632/734xczfv3c
title: Data for: Fault identification and diagnosis based on KPCA and similarity clustering for nuclear power plants

description: The dataset is Qinshan PWR data under a cold leg rupture with tiny degree. Also, we provide our simulation results.
DOI: 10.17632/cxdyfnvc82
title: Dataset on the eco-shrimp farming model and the compliance of shrimp farmers with mangrove conservation recommendations in Ca Mau, Vietnam

description: The data was collected from eco-shrimp farming households to examine their production model, compliance with mangrove conservation regulations, and perspectives perspectives on the eco-shrimp farming model. The survey was collected from 120 eco-shrimp farming households in Ca Mau, Vietnam, with 118 valid cases.