Share your research data

Yields, experimental conditions, and analysis details

Table S1 Rock magnetic properties. Rock magnetic parameters include in-phase magnetic susceptibility and the corresponding phase angle expressed as the XON parameter, in-phase field- and frequency-dependent susceptibility and remanent magnetization. Table S2 Anisotropy of magnetic susceptibility (AMS) data. In- and out-of-phase AMS data were measured with the KLY-5A. Additional parameters were calculated with Anisoft6. Table S3 Alternating field and thermal demagnetization. Paleomagnetic results derived from alternating field and thermal demagnetization experiments. Calculations were performed using Remasoft 3.0. Table S4 Hysteresis and FORC data. Magnetic hysteresis parameters and first-order reversal curve (FORC) data. FORCs were further processed with FORCinel v3.08 and Igor 9.0. Table S5 Temperature-dependent magnetic susceptibility (k-T) parameters and Curie temperatures. Temperature-dependent magnetic susceptibility (k-T) parameters, including heating and cooling in- and out-of-phase Curie temperatures. Data were processed using Cureval 8. Table S6 Mineral chemical data. Mineral chemical compositions obtained from electron microprobe analyses of Fe-Ti-oxides and associated phases.

This dataset was gathered in the context of Optical Mark Recognition (OMR), where the objective is to automatically detect the selected answers in a multiple-choice exam. OMR is the first step in developing automatic grading for Multiple Choice Question (MCQ) exams. This dataset contains 5721 scanned images of four-choice exam answer sheets completed by high school students. Each image is accompanied by a text file containing the human-observed labels for each item. The exams were administered in 2024 to 10th-, 11th-, and 12th-grade students at 42 high schools in Tamaulipas, Mexico. To protect the student's privacy, we developed an anonymization process based on geometric image processing. Of the answer sheets, 3669 from 10th and 12th grades contain 90 items, while 2052 from 11th grade contain 100 items, totaling 535,020 items. The variety of styles used to mark the items, as well as noise and artifacts due to human and digitization errors, makes this dataset valuable in the design of automatic OMR algorithms for real-life applications in automatic MCQ exam grading, based on machine learning or classical image processing.

Human Toroviruses (HToVs) are enteric viruses associated with gastroenteritis in humans and animals, but information regarding their circulation and genetic diversity remains limited, particularly in developing countries. This study aimed to investigate the molecular detection and phylogenetic relationships of HToV among Iraqi children with gastroenteritis. A total of 200 stool samples were collected from pediatric patients admitted to a tertiary hospital in Baghdad, Iraq, between December 2023 and August 2024. Viral RNA was detected using one-step Real Time‒qPCR. Selected positive samples were further analyzed using conventional RT-PCR targeting the nucleocapsid (N) gene, followed by Sanger sequencing and phylogenetic analysis. HToV RNA was detected in 40 (20%) samples. The most common clinical findings among positive cases were watery diarrhea (100%), abdominal pain (100%), fever (85%) and vomiting (77.5%). Hematological analysis showed increased lymphocyte percentage and platelet count, with decreased percentage and hemoglobin level compared with controls. Serum INFγ, IL6, and CRP levels were significantly elevated in infected children. The data analysis of sequencing revealed high nucleotide identity (~99%) with previous reported human totrovirus strains. While, lower similarity was reported with animal-derived strains. Phylogenetic analysis reported clustering of the Iraqi isolates within-associated torovirus lineages. These findings provide the first combined molecular, immunological, hematological, and phylogenetic data on HToV in Iraqi children and highlight the importance of including tororvirus in routine surveillance of pediatric gastroenteritis.

The dataset presented in this article was generated from a systematic review investigating the prognostic implications of fragmented QRS (fQRS) in pediatric heart diseases. The review was conducted according to PRISMA guidelines using predefined search terms across PubMed, Web of Science, EMBASE, Scopus, and the Cochrane Library. After screening 5,694 records, nine studies met the eligibility criteria and were included in the final dataset. The extracted data include study-level characteristics, patient demographics, disease categories, follow-up duration, and reported clinical outcomes associated with fQRS. Outcome-level data covered ventricular function parameters, arrhythmic events, and major adverse cardiovascular events (MACE). When available, raw numerical outcome data and statistical measures, including effect estimates and p-values, were also extracted from the included studies. The dataset was organized into structured tables to facilitate accessibility, comparison across studies, and potential future reuse in secondary analyses and evidence synthesis.

Attached is the data used for the research: Educational technologies for learning and well-being: perception of the use of artificial intelligence and social media among university students. By Lismer Yamil Laura Pumaleque

This supplementary materials contain the R scripts and data file to perform the analyses.

Suzetrigine Clinical Trial supplementary content

SCQ MITECO Project Active Tourism Future Guides

This dataset supports a systematic review of global agrivoltaic studies comparing photovoltaic greenhouse and open-field agrivoltaic systems.