cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ky7d44ck47
title: Effects of Orthographic-Semantic Consistency on Event-Related Potentials in Lexical Decision and Relatedness Judgment Tasks

description: Behavioral and ERP data reported in "Effects of Orthographic-Semantic Consistency on Event-Related Potentials in Lexical Decision and Relatedness Judgment Tasks" authored by Mitsuki Tachibana, Testuo Kida, Steve Lupker and Yasushi Hino.  

Orthographic-Semantic (O-S) consistency is a measure of the consistency with which specific orthographic forms are mapped onto specific meanings.  Using Hino, Miyamura and Lupker’s (2011) norms in which O-S consistencies are computed based on orthographic neighbors, we varied O-S consistency for Japanese words (i.e., more O-S consistent words versus less O-S consistent words) and examined the impact of O-S consistency in lexical decision and relatedness judgment tasks.  In both tasks, although we failed to detect an O-S consistency effect in the behavioral data, a significant effect was observed on the event-related brain potentials: the amplitudes of N400s were larger for the less O-S consistent words than for the more O-S consistent words, although the topographical distributions were somewhat different in the two tasks.  The behavioral and ERP data in the lexical decision task (Experiment 1) and the relatedness judgment task (Experiment 2) are reported.
DOI: 10.17632/37b9hg5mg7
title: VARSew: A Visual Action Recognition Dataset on Garment Sewing

description: VARSew dataset is designed for visual action recognition in the garment sewing industry. Also, VARSew is designed to address multiple research objectives in visual recognition, such as binary and multi-class action classification. The proposed data offers new research opportunities, such as visual pattern recognition and Internet-of-Things(IOT) based manufacturing. Also, it offers research opportunities on human activity and behavior during production time. To the best of our knowledge, no such industrial human action dataset is available in the computer vision community. VARSew dataset consists of high-resolution trimmed videos of certain actions. There are two levels of categorical labels in the VARSew dataset, i.e., super action classes and actions classes. The dataset includes 3,121 videos of 49,936 frames. The videos are grouped into value-added and non-value-added for human sewing action binary classification. For multi-class classification, the videos are also grouped into eight classes: sew, release, handle, prepare, adjust, wait, check, and maintain. Each video was fixed to 16 frames. Multiple human operators were employed to collect the videos, including Sewing Machine Operators (SMO) and Maintenance Machine Operators (MMO), respectively 26 and 8 operators. Subjective annotations for the participant proficiency throughout the 3,121 videos.
DOI: 10.17632/5kygfmfdmr
title: Image Dataset taken by 1U CubeSat Constellation in the Low Earth Orbit

description: This dataset contains images taken by four 1U CubeSats (3 satellites from BIRDS-3 and 1 satellite from BIRDS-4) that belong to the BIRDS Constellation of satellites.  The camera mission payload employs a single 5-megapixel (MP) OV Arducam module, 8-bit Atmega2560V MCU, and 1Gb MT25QL01GB as non-volatile flash storage. Images are available at different resolutions such as 1280 x 960, 640 x 480, and 320 x 240.
A commercial S-mount, M12 lens from Lensation was used for optics, however, BIRDS-3 and BIRDS-4 used different specifications. For BIRDS-3, the lens has a focal length of 2.9mm and an f2.0 aperture providing a diagonal field of view (DFOV) of 103º. The ground swath calculated from a 400 km orbit is about 700 km by 450 km. For BIRDS-4, the lens has a focal length of ¼ inch and an f1.8 aperture providing a diagonal field of view (DFOV) of 125º. The ground swath calculated from a 400 km orbit is about 800 km by 600 km.
The CubeSats were deployed from International Space Station (ISS) into an orbit of altitude 400 km, inclination of 51.6°, and orbital duration of 92.6 minutes. The satellites do not have any attitude control, so the satellites are in free rotation at approximately 3 deg/s on each axis.
The dataset contains 156 images from the BIRDS-3 constellation of satellites and 81 images from the BIRDS-4 satellite. The images have been named according to their resolution and basic classification into Earth images (ER), Horizon images (HZ), sunburn images (SB) and space images (SP). The images are unprocessed, raw images and the sizes of the images vary between 3kB for space images and up to 99kB for earth images.
DOI: 10.17633/rd.brunel.10298402.v1
title: Grammar tests, Government and pedagogical coercion in England's primary schools - consent form

description: Consent form for interviewees who took part in interviews about the Grammar, Punctuation and Spelling tests.
DOI: 10.15468/dl.9ykxx3
title: Occurrence Download

description: A dataset containing 5284731 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2020-2025"
 ]
}

 The dataset includes 5284731 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012907-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/643r5r2wrh
title: GOLD standard gene reference data for Alzheimer

description: This data set comprises of the raw and processing data related to classification of the abstract text with the Alzheimer disease. Raw data has been processed and double fold cross validated to prepare GOLD standard data set for Alzheimer association class with the genes. This data can be further used for disease gene classification as well as for system level meta analysis of the Alzheimer.
DOI: 10.17632/wk6rkmdgrf
title: Fetal and human PCG Data with the first and second heart tone segmentation for pNLF algorithm testing

description: Сontains phonocardiograms of the fetus and/or human, the first and second heart tones segmentation on the fetus and/or human phonocardiograms, the phonocardiograms after preprocessing and processing by the pNLF algorithm. The data can be used to reproduce the pNLF algorithm testing, or to test own algoriths for hearttone segmentation.
DOI: 10.17632/x9bs359gcb
title: Raw data: Managerial personality and financial reporting

description: Raw data for "Dark triad managerial personality and financial reporting manipulation"
DOI: 10.17632/xkfw8bx42t
title: Data on electrochemical disinfection of swine wastewater by advanced oxidation processes

description: Data for publication in Data in Brief
DOI: 10.6084/m9.figshare.28426292.v1
title: Effects of an Acute High Dose of Caffeine on Physiological Responses and Performance During a Strength-Focused CrossFit Workout: a randomized, double blinded, crossover study

description: The study investigated the effect of acute caffeine consumption on physiological responses and performance in a CrossFit® training program
DOI: 10.17632/5vnwfz4ppw
title: Comprehensive analysis of intranasal insulin pharmacokinetics and pharmacodynamics in the rat brain

description: Intranasal insulin and its therapeutic potential in Alzheimer’s disease have already been in the focus of clinical trials, but the exact role of insulin in the brain is still unknown. One of the main goals of this research is to clarify and explore the time-dependent regular insulin distribution and activity in the rat brain following intranasal administration. Insulin immediately distributes to all brain regions after intranasal administration and is instantly utilized and/or metabolized, with the most pronounced increment seen in temporal cortex. Intranasal insulin probably positively influences insulin secretion seen as increment of both C-peptide and insulin in the periphery and in distinctive brain regions (hypothalamus, temporal and parietal cortices and cerebellum). Results reveal secondary activation of AMP-activated protein kinase and calcium/calmodulin-dependent protein kinase, which could be due to the brain region-dependent negative feedback mechanism on the overstimulated insulin signalling pathway.
DOI: 10.17632/fmnt6bt2s7
title: Acute stress and pertinent variables

description: From 16 April 2024 to 25 April 2024, a total of 1010 Chinese adult participants completed validated self-report scales of acute stress, problematic smartphone use, social media addiction, anxiety, depression, sense of control, intolerance of uncertainty, executive function, theory of mind, perspective taking, and empathic concern.
DOI: 10.17632/srcz7scz67
title: Prediction of Lupus Membranous Nephritis using Reduced Picolinic Acid to Tryptophan Ratio as a Urinary Biomarker: Supporting Data

description: Supporting metabolomics dataset for statistical analysis in  "Prediction of Lupus Membranous Nephritis using Reduced Picolinic Acid to Tryptophan Ratio as a Urinary Biomarker".
DOI: 10.6084/m9.figshare.17318639.v1
title: Supplementary Material for: LIM homeobox-2 suppresses hallmarks of adult and pediatric liver cancers by inactivating MAPK/ERK and Wnt/beta-catenin pathways

description: Introduction: Hepatocellular carcinoma and hepatoblastoma are two liver cancers characterized by gene deregulations, chromosomal rearrangements, and mutations in Wnt/beta-catenin (Wnt) pathway-related genes. LHX2, a transcriptional factor member of the LIM homeobox gene family, has important functions in embryogenesis and liver development. LHX2 is oncogenic in many solid tumors and leukemia but its role in liver cancer is unknown. Methods: We analyzed the expression of LHX2 in hepatocellular carcinoma and hepatoblastoma samples using various transcriptomic datasets and biological samples. The role of LHX2 was studied using lentiviral transduction, in vitro cell-based assays (growth, migration, senescence, apoptosis), molecular approaches (phospho-kinase arrays, RNA-seq), bioinformatics and two in vivo models in chicken and Xenopus embryos. Results: We found a strong connection between LHX2 down-regulation and Wnt activation in these two liver cancers. In hepatoblastoma, LHX2 downregulation correlated with multiple poor outcome parameters including higher patient age, intermediate- and high-risk tumors and low patients’ survival. Forced expression of LHX2 reduced the proliferation, migration and survival of hepatoma cells in vitro through the inactivation of MAPK/ERK and Wnt signals. In vivo, LHX2 impeded the development of tumors in chick embryos and repressed the Wnt pathway in Xenopus embryos. RNA-sequencing data and bioinformatic analyses confirmed the deregulation of many biological functions and molecular processes associated with cell migration, cell survival and liver carcinogenesis in LHX2-expressing hepatoma cells. At a mechanistic level, LHX2 mediated the disassembling of beta-catenin/T-cell factor 4 complex and induced expression of multiple inhibitors of Wnt (e.g. TLE/Groucho) and MAPK/ERK (e.g. DUSPs) pathways. Conclusion: Collectively, our findings demonstrate a tumor suppressive function of LHX2 in adult and pediatric liver cancers.
DOI: 10.17632/9pyvkrc2kc
title: DESI and SDG 8 database for South-East European Countries

description: The attached document presents data on the core indicators calculated in SDG 8 such as the actual GDP per capita, the NEET and Employment rate and the DESI index dimensions, i.e. Human Capital (HC), the Connectivity (CN), the Integration of Digital Technologies (IDT) and the Digital Public Services (DPS) for the countries of the South-East region of the European Union, i.e: Bulgaria, Czech Republic, Croatia, Estonia, Hungary, Estonia, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia and Poland, and the period under analysis is 2014-2022, as the Digital Economy and Society Index (DESI) has been reported since 2014. 
Data were collected from the Digital Economy and Society Index (DESI) Reports for the countries of the South-East European region and from the European Commission's statistical information published on Eurostat. 
The aim of collecting this data was to identify the impact of the DESI index components on sustainable economic development as measured by SDG 8 indicators. Based on the presented data and econometric modeling, we confirm that the degree of digitalization of a country positively and significantly influences sustainable economic development. However, the results demonstrated major discrepancies across the countries analyzed in the sense that digitization was not the only determinant of economic development.
DOI: 10.17632/9sbx5rpmy6
title: DNA barcoding resolves quantitative multi-trophic interaction networks and reveals pest species in trap nests

description: Raw Sequencing Data obtained from Sanger Sequencing by Macrogen Europe
DOI: 10.17632/x3nm4cxr83
title: A New Image Dataset for Document Corner Localization

description: To use this dataset and respect for copyright, please cite the following paper: https://ieeexplore.ieee.org/abstract/document/9116896/ We present a new dataset that covers almost all the scenarios that may exist on document images that were taken by a smartphone. The collection includes 1111 images. We tested two state-of-the-art algorithms for finding the corners of the document in our dataset and the results also provided. The results indicate that there are still situations that these algorithms fail and it needs more research.
DOI: 10.17632/4rjc87zrd3
title: SEWA Electricity Deman Forecasting -- 2020 and 2021

description: The SEWA electricity forecasting dataset provides an in-depth insight into power demand over 2020 and 2021. This exhaustive collection intertwines general daily data, like dates, with specific hourly environmental parameters such as temperature, humidity, wind speed, and solar irradiance. Such details are pivotal, offering a holistic context to electricity consumption metrics. Venturing deeper, the dataset touches upon SEWA's technical metrics surrounding electricity load dynamics. Key indicators, including minimal load, peak load, and hourly energy metrics, form the dataset's analytical backbone. A noteworthy feature is the "lagged demand," which reflects the prior hour's electricity demand, adding a layer of temporal depth to the analysis. Organized meticulously, the dataset segregates data into hourly segments, detailing power demand for each hour, from midnight to midnight. Concurrently, the daily data summarizes these hourly intricacies, offering a consolidated view of each day's power demand. Analytically, the dataset stands primed for rigorous scrutiny. It facilitates calculations of mean demand, assessment of hourly demand variability, distinction of peak from off-peak periods, and tracking of emerging trends over timeframes. Visualization potentials are vast, enabling one to map out daily demand trajectories and monitor demand evolution longitudinally. Furthermore, the data's structure and granularity enable detection of seasonal shifts, overarching trends, and any inherent cyclical or irregular patterns, making it an invaluable resource for power demand analysts.
DOI: 10.17632/gwjmr95hd7
title: Assessing Mindfulness for Long-Term Recovery from Tobacco Addiction

description: Sustainable Development Goal 3 (SDG 3) emphasizes "Good Health and Well-being." Amid the COVID-19 pandemic, achieving SDG 3 faces significant challenges, including the persistent culture of tobacco smoking, which weakens the immune system and increases susceptibility to COVID-19. Smoking impacts both smokers and those around them, complicating preventive measures like mask-wearing.
This study aims to evaluate the effectiveness of mindfulness meditation (MM) as an alternative approach to quitting or reducing smoking.
A systematic review of literature from January 2007 onward was conducted, encompassing journal papers, book chapters, and research findings. Relevant keywords were used to identify and evaluate studies related to mindfulness meditation and tobacco addiction. The review considered the findings of various studies and the need for high-powered randomized controlled trials (RCTs).
The review reveals mixed findings. Some studies suggest that mindfulness is an effective treatment for tobacco or nicotine addiction, while others do not support this view. The necessity for high-powered RCTs to validate these findings is highlighted. Although most research indicates potential effectiveness, it lacks robust high-power RCTs.
Tobacco smoking contributes to environmental pollution and harms the health of those exposed to secondhand smoke. Integrating mindfulness into educational curricula might reduce tobacco addiction and positively impact the environment, but solid research to support this integration is lacking. Most studies suffer from publication biases and insufficient RCTs. Establishing the true effectiveness of mindfulness interventions requires further research. Currently, mindfulness meditation has not significantly influenced abstinence or minimal, infrequent cigarette intake. Further integration and investigation are necessary to enhance the effectiveness of mindfulness meditation in tobacco addiction recovery.
DOI: 10.17632/f4kyk7vkst
title: A Hybrid Matheuristic for the Spread of Influence on Social Networks - Complementary Data

description: This dataset contains complementary data to the paper "A Hybrid Matheuristic for the Spread of Influence on Social Networks" [1], which proposes a matheuristic for combinatorial optimization problems involving the spread of information in social networks.

For the computational experiments discussed in that paper, we provide:

- Two sets of instances, originally obtained from [2-6];
- The solutions attained by exact and heuristic methods;
- The collected results;
- The matheuristic source code;


The directories "benchmark_*/instances/" contain files that describe the sets of instances. Each instance is associated with a graph containing vertices and edges.

The first lines of each file contain:

 

where and identify a pair of vertices that determines an undirected edge.

The next line contains integers corresponding to the costs of the vertices.

The last line contains integers corresponding to the thresholds of the vertices.


The directories "benchmark_*/solutions_*/" contain files describing feasible solutions for the corresponding sets of instances.

The first line of each file contains:



where is the number of vertices in the target set. Each of the next lines contains:



where identifies a target.

The last line contains an integer that represents the target set cost.


The directory "hmf_source_code/" contains an implementation of the matheuristic framework proposed in [1], namely, HMF.


This work was supported by grants from Santander Bank, the Brazilian National Council for Scientific and Technological Development (CNPq), the São Paulo Research Foundation (FAPESP), the Fund for Support to Teaching, Research and Outreach Activities (FAEPEX), and the Coordination for the Improvement of Higher Education Personnel (CAPES), all in Brazil.

Caveat: The opinions, hypotheses and conclusions or recommendations expressed in this material are the sole responsibility of the authors and do not necessarily reflect the views of Santander, CNPq, FAPESP, FAEPEX, or CAPES.


References

[1] F. C. Pereira, P. J. de Rezende, and T. Yunes. A Hybrid Matheuristic for the Spread of Influence on Social Networks. 2024. Submitted.

[2] S. Raghavan and R. Zhang. A branch-and-cut approach for the weighted target set selection problem on social networks. 2024. https://doi.org/10.1287/ijoo.2019.0012

[3] J. Leskovec and A. Krevl. SNAP Datasets: Stanford Large Network Dataset Collection. 2024. https://snap.stanford.edu/data

[4] R. A. Rossi and N. K. Ahmed. The Network Data Repository with Interactive Graph Analytics and Visualization. 2022. https://networkrepository.com

[5] J. Kunegis. KONECT – The Koblenz Network Collection. 2013. http://dl.acm.org/citation.cfm?id=2488173

[6] O. Lesser, L. Tenenboim-Chekina, L. Rokach, and Y. Elovici. Intruder or Welcome Friend: Inferring Group Membership in Online Social Networks. 2013. https://doi.org/10.1007/978-3-642-37210-0_40
DOI: 10.17632/fxycrk7drw
title: Transition cow nutrition and management strategies of large dairy herds in the northeastern United States: Part I–Herd description and performance characteristics

description: Our objective was to describe management and herd characteristics of the transition period on freestall dairy herds in the Northeastern United States using an on-farm survey and prospective cohort design. Enrolled herds (n = 72) had a median of 900 milking cows (range: 345 to 2,900), a rolling herd average of 12,674 kg (standard deviation ± 1,220 kg), and 87.2% (n= 82/94) of fresh pens were milked at least 3×/d. The prevalence of herds with ≥ 15% of sampled cows with elevated concentrations of non-esterified fatty acids (NEFA) prepartum (≥ 0.27 mmol/L, 2 to 14 d prior to parturition) and postpartum [primiparous: ≥ 0.60 mmol/L, multiparous: ≥ 0.70 mmol/L, 3 to 14 d in milk (DIM)], postpartum β-hydroxybutyrate (≥ 1.2 mmol/L, 3 to 14 DIM), and postpartum haptoglobin (≥ 1 g/L, 0 to 12 DIM) was 51%, 51%, 51%, and 57%, respectively. In most herds, cows were moved to a calving pen when showing signs of labor (73.6%; n = 53/72) instead of 0 to 3 d prior to expected calving (26.4%, n = 19/72). Cows remained in the calving or maternity pen for a median (range) time of 2 (0 – 24) h after parturition before moving to the next pen. Primiparous cows remained in the first pen moved to after parturition for a longer period than multiparous cows [median (range) d: 12 (1.5 – 25) vs. 6 (1.5 - 22). Nearly 20% of herds administered routine vaccinations in the maternity or calving pen, first pen after parturition, or both. Almost all herds (n = 69/72) performed fresh cow health checks; however, only 53% (n = 38/72) locked up all fresh cows daily. More herds housed primiparous and multiparous cows in separate pens during the far-off dry (65.3%; n = 47/72) and high lactation (81.9%; n = 59/72) periods compared to the close-up dry (31.9%; n = 23/72) and fresh periods (27.8%; n = 20/72). At least half of the pens observed during the far-off dry, close-up dry, and fresh periods had a stocking density <100%. Approximately 1/3 of pens observed during the far-off dry period had feed pushed up ≤4×/d compared to approximately 15 to 20% of pens observed during the close-up dry, fresh, and high lactating periods. More than half of the total mixed ration samples acquired from the far-off and close-up dry period visits had greater than the recommended proportion of particles in the 19-mm screen of the Penn State Particle Separator. The results of this observational study illustrate the range of management practices used in freestall herds in this region and lay the groundwork for future hypothesis-driven studies using this sampled population.