Find research datasets worth reusing

opencc-by-4.0Jan 2022View details →

Perceived academic stress, hair and saliva cortisol concentrations, and their relationship with anthropometric measures associated with obesity in first-year medical students.

Cortisol plays an important role between stress, weight gain, and the development of obesity. Therefore, we investigated the association between stress, eating behavior, cortisol, and anthropometric measures related to obesity in a sample of medical students. We determined cortisol concentrations by ELISA and related it to self-reported stress, eating behavior, and anthropometric measurements throughout the academic period. We report an increase in hair cortisol, higher self-reported stress scores, and BMI mainly in females. Finally, we found evidence of positive associations between capillary cortisol and BMI. Also, eating behavior is affected by perceived stress mainly in females. In this database, we provide weight variables, BMI, psychometric tests, and hormonal determinations. You can see two sheets in the Excel file. Sheet 1 includes the raw data and sheet 2 includes a description of each variable, as well as the bibliography (article or book) where each survey or protocol was obtained. In addition, the data specify the units of the hormonal variables, as well as the units of the anthropometric variables. If you have questions about the interpretation of psychometric test scores, you can contact our team for further details.

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Physical seed damage, not rodent's saliva, accelerates seed germination of trees in a subtropical forest

Many tree species adopt fast seed germination to escape the predation risk by rodents. Physical seed damage and the saliva of rodents on partially consumed seeds may also act as cues for the seed to accelerate the germination process. However, the impacts of these factors on seed germination rate and speed remain unclear. In this study, we investigated such impacts on the germination rate and speed (reversal of germination time) of four tree species (Quercus variabilis, Q. serrata, Q. acutissima, and Q. glauca) after partial consumption by four rodent species, through a series of experiments. We also examined how seed traits may affect the damage degree by rodents by analyzing the relationship between the germination rate and time of rodent-damaged seeds and the traits. We found that artificially and rodent-damaged seeds exhibited a significantly higher seed germination rate and speed, compared to intact seeds. Also, the rodent saliva on seeds showed no significant effect on seed germination rate and speed. Furthermore, We observed significant positive correlations between several seed traits (including seed mass, coat thickness, and protein content) and seed germination rate, but these seed traits had a positive correlation with the germination rate and speed. These correlations are likely due to the beneficial traits countering seed damage by rodents. Overall, our results highlight the significant role of physical seed damage by rodents (rather than their saliva) in facilitating seed germination of tree species and potential mutualism between rodents and trees. Additionally, our results may have some implications in forest restoration, such that intentionally sowing or dispersing slightly damaged seeds by humans or drones may increase the likelihood of successful seed regeneration.

opencc-zeroJun 2024View details →

opencc-by-4.0Dec 2022View details →

Carbohydrate vitrification in aerosolized saliva is associated with the humidity-dependent infectious potential of airborne coronavirus - Datasets

Data includes: - WIBS files for each individual chamber run - RT-qPCR results - TCID50 results - Spreadsheet calculations - MOUDI results

opencc-by-4.0Oct 2017View details →

Fig. 2 in Anti-tumour necrosis factor activity in saliva of various tick species and its appearance during the feeding period

Fig. 2. Anti-tumour necrosis factor (TNF) activity in tick salivary glands during feeding. Salivary gland extract (SGE) was prepared from females of Ixodes ricinus (Linnaeus, 1758) either unfed (day 0) or fed for 2, 4, 6 and 8 days. Various concentrations of SGE protein were preincubated for 1.5 h with 2 ng/ml of mouse recombinant TNF before the cytokine ELISA was performed. PBS instead of SGE was added into negative control. Results are presented as the mean ± SD of triplicate wells. *The difference between saliva-treated and untreated group was signif- icant at P <0.05.

opencc-by-4.0Jan 2022View details →

Figure 3 in The study of exposure times and dose-escalation of tick saliva on mouse embryonic stem cell proliferation

Figure 3. Effect of D. marginatus SGE (0-160 µg/ml) on mouse embryonic stem cell proliferation and viability. Values represent relative fold change of cell viability normalized to untreated negative control. The Geisser–Greenhouse correction and Dunnett´s test on multiple comparison were used. All experiments have the P value <0.05, on three different time laps. The results are mean ± standard deviation (SD) from a representative experiment carried out in triplicate and were seeded in equal amount in 3 different 96-well cultured plates.

opencc-by-4.0Jan 2022View details →

Figure 2 in The study of exposure times and dose-escalation of tick saliva on mouse embryonic stem cell proliferation

Figure 2. Effect of R. bursa SGE (0-160 µg/ml) on mouse embryonic stem cell proliferation and viability. Values represent relative fold change of cell viability normalized to untreated negative control. The Geisser–Greenhouse correction and Dunnett´s test on multiple comparison were used. The results are mean ± standard deviation (SD) from a representative experiment carried out in triplicate and were seeded in equal amount in 3 different 96-well cultured plates.

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Physical seed damage, not rodent’s saliva, accelerates seed germination of trees in a subtropical forest

Open the record for dataset details and reuse information.

publicJun 2024View details →

opencc-byMay 2019View details →

Barrel - Bat Saliva

Free model to use in any project.... Please visit http://www.vanatorstudio.com to check my portfolio… Source: Objaverse 1.0 / Sketchfab

opencc-by-4.0Dec 2021View details →

Amines and lipids metabolites in blood plasma and saliva samples in pigs.

The dataset presented in here is generated in a project named "Effects of sanitary and health status on amino acid and energy metabolism of growing-finishing pigs." The metabolomics data from two samples types in pigs were generated in collaboration with Metabolomics Facility Leiden, The Netherlands and Wageningen Livestock Research, The Netherlands. This collaboration was realized and funded by Enabling Technology Hotels programme, ZonMW, NWO, The Netherlands (project number: 435005015).  Targeted quantification of metabolites in two metabolomic platforms covering  amines and oxidative stress metabolites in the blood and saliva samples in pigs. The samples were collected from a feeding trial. Briefly, After weaning, i.e., at week 4, pigs were fed a starter (4-9 weeks), grower (9-14 weeks), and finisher (14-22 weeks) diet containing either starch or fat as an energy source. At week 9, before the pigs were fed the grower diet, blood plasma and saliva samples were collected from the pigs (n=6) and the animals were stratified according to different hygiene conditions. At week 14, i.e., before the pigs received the finisher diet, and at week 22, i.e., at the end of this experiment, blood plasma and saliva samples were collected from the pigs (n=6) in the cohort receiving a diet with a different energy source under contrasting sanitary status.  Targeted quantification of metabolites in two metabolomic platforms covering  amines and oxidative stress metabolites in the blood and saliva samples in pigs. The number of identified metabolites are shown in Table 1. Table 1: Number of identified amines and lipids metabolites in blood plasma and saliva samples in pigs.   <table> <tbody> <tr> <td> <table align="center"> <tbody> <tr> <td>   </td> <td> Data reported as </td> </tr> <tr> <td> </td> <td> Peak areas1 </td> <td> Relative response ratios4 </td> </tr> <tr> <td>   </td> <td> Confidence2 </td> <td> Caution3 </td> <td> Confidence </td> <td> Caution </td> </tr> <tr> <td> Amines </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Blood plasma </td> <td> not required </td> <td> not required </td> <td> 58 </td> <td> 2 </td> </tr> <tr> <td> Saliva </td> <td> not required </td> <td> not required </td> <td> 52 </td> <td> 5 </td> </tr> <tr> <td> Lipids (low pH) </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Blood plasma </td> <td> 47 </td> <td> 17 </td> <td> 47 </td> <td> 17 </td> </tr> <tr> <td> Saliva </td> <td> 18 </td> <td> 34 </td> <td> 52 </td> <td> 11 </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Lipids (High pH) </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> </td> <td> </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Blood plasma </td> <td> 24 </td> <td> 25 </td> <td> 24 </td> <td> 25 </td> </tr> <tr> <td> Saliva </td> <td> 28 </td> <td> 17 </td> <td> 28 </td> <td> 17 </td> </tr> </tbody> </table>   </td> </tr> </tbody> </table> 1 For the lipid platform, large variations in internal standard were observed between study samples. This could be due to the difference in matrix effect between the study samples, i.e., blood plasma and saliva. It is known that the matrix effect varies significantly depending on the origin of the samples and is influenced by phenotypic characteristics such as species, age, and gender. Therefore, peak areas were provided as an additional data set that can be used as input data for downstream metabolomics analysis. 2 Metabolite signaling complied with the acceptance criteria of RSDqc <15%. 3 Metabolite signaling did not comply with the acceptance criteria of our quality control i.e. of RSDqc <15%, but they present RSDs up to 30%. 4 target area/ISTD area; unit free. Available data-set: -Four different signaling lipids data-set: 1) peak areas for plasma samples, 2) peak area ratios (metabolite to ISTD) for plasma samples, 3) peak areas for saliva samples, and 4) peak area ratios (metabolite to ISTD) for saliva samples.  - Two signalling amine data-set: 1) peak area ratios (metabolite to ISTD) for plasma samples, and 2) peak area ratios (metabolite to ISTD) for saliva samples.

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Byanyima et al- Feasibility and sensitivity of saliva GeneXpert MTBRIF Ultra for tuberculosis diagnosis in Ugandan adults

The objective of this prospective, observational study carried out at China-Uganda Friendship Hospital-Naguru in Kampala, Uganda, was to determine the performance of GeneXpert MTB/RIF Ultra (Xpert Ultra) molecular testing on saliva for active tuberculosis (TB) disease among consecutive adults undergoing TB diagnostic evaluation who were Xpert Ultra positive on sputum. We calculated sensitivity to determine TB diagnostic performance in comparison to a composite reference standard of Mycobacterium tuberculosis (Mtb) liquid and solid cultures on two spot sputum specimens. Xpert Ultra on a single saliva sample had a sensitivity of 90% (95% CI 81-95%) relative to the composite sputum culture-based reference standard, similar to the composite sensitivity of 87% (95% CI, 77-94%) fluorescence smear microscopy (FM) for acid-fast bacilli on two sputa. The sensitivity of salivary Xpert Ultra was 24% lower (95% CI for difference 2-48%, p=0.003) among persons living with HIV (71%, 95% CI 44-90%) than among persons living without HIV (95%, 95% CI 86-99%) and 46% higher (95% CI 14-77%, p<0.0001) among FM-positive (96%, 95% CI 87-99%) than among FM-negative patients (50%, 95% CI 19-81%) patients. Semi-quantitative Xpert Ultra grade was systematically higher in sputum than in a paired saliva sample from the same patient. In conclusion, molecular testing of saliva for active TB diagnosis was feasible and almost as sensitive as molecular testing of sputum in a high TB-burden setting.

opencc-zeroAug 2022View details →

opencc-zeroDec 2017View details →

Transfer of bacteriophages between the fingers of volunteers and water or saliva

Data sets on the percentage of virus transferred between fingers and water or saliva. Transfer with saliva is for both wet hands (where the virus inoculum was not allowed to appreciably dry before transfer) and for dry hands (where the virus inoculum was allowed to dry before transfer). The data were collected, analyzed, and reported within the following publication: Pitol, A. K., Bischel, H. N., Kohn, T., & Julian, T. R. (2017). Virus Transfer at the Skin–Liquid Interface. Environmental Science & Technology, 51(24), 14417-14425. <a href="https://doi.org/10.1021/acs.est.7b04949">https://doi.org/10.1021/acs.est.7b04949</a>]

opencc-by-4.0Apr 2023View details →

Large-scale saliva pooling as a screening strategy to control transmission_raw data

This dataset include the raw data of our experience after building a bespoke laboratory to control critical areas by pooling samples of saliva. From August 2020 to February 2022; 928,528 individual self-samples of saliva were processed in 52,580 pools, 4,935 of which were positive and helped us detect 5,806 nonsymptomatic individuals.  The dataset was collected directly from the laboratory information system and was processed to delete the columns with sensitive information. The Dataset was charged as XLSX file and only need a compatible software. To facilitate the understanding of the data set, which uses the Galician language and an internal nomenclature of our laboratory, we include a sheet named "description" and a README file in which it defines the terms used and their equivalence with those used in the article.

opencc-by-4.0Apr 2023View details →

Saliva and plasma metabolome analysis in mares during anestrus, estrus cycle and early gestation for the identification of salivary biomarkers of reproductive stages.

1H-NMR spectra of saliva and blood samples collected at seven physiological stages from six pony mares: <ul> <li>in seasonal anestrus,</li> <li>in the follicular phase 3 days, 2 days and 1 day before ovulation, and the day when ovulation was detected,</li> <li>in the luteal phase 6 days after ovulation,</li> <li>in gestation 18 days after ovulation and artificial insemination.</li> </ul>   The 42 saliva samples were prepared for 1H-NMR by precipitation of proteins using methanol. Briefly, 200 µL of saliva was mixed with 400 µL of cold methanol and vortexed. The mixtures were cooled at -20°C for 20 min before centrifugation at 15,000 × g for 15 min at 4°C. The supernatants were recovered and transferred to glass tubes for further evaporation of the solvent. For the 42 plasma samples, a modified Folch’s method (200 µL of plasma, 300 µL of cold methanol and 500 µL of cold chloroform) was preferred to extract metabolites and eliminate proteins and lipids from the plasmas in order to avoid the overlapping of the metabolites of interest with broad lipid and protein signals. The samples were vortexed during 1 min. The polar fractions, containing the metabolites, were separated after centrifugation at 15,000 × g for 15 min at 4°C and 300 µL of the samples were collected in glass tubes. The solvent of saliva supernatants and plasma polar fractions were evaporated in a SpeedVac (Thermo Fisher Scientific, Illkirch-Graffenstaden, France) for 2 h at 35°C followed by another 2 h at room temperature before storage at -20°C until analysis. Five quality control samples for the saliva and plasma experiments were prepared by pooling a fraction of each samples (either saliva or plasma) and were further processed with all the other samples. Before 1H-NMR analyses, the dried residues were recovered in 210 μL phosphate buffer (pH 7.4, 200 mM) prepared in D2O supplemented with 152 µM (final concentration) of 3-trimethylsilylpropionic acid (TSP) as internal reference and transferred to 3 mm NMR tubes. 1H-NMR spectra of the saliva and plasma samples were acquired at 298K on an AVANCE III HD 600 MHz system (Bruker Biospin, Karlsruhe, Germany) equipped with a Bruker 5 mm TCI CryoProbe with Z-gradient. 1H-NMR spectra were recorded with the «noesypr1d» pulse sequence with a relaxation delay of 20 s, on a sweep width of 12 ppm, 64 k data points, an acquisition time of 4.56 s, with 64 transients, and 8 dummy scans. Sample shimming was performed automatically on the D2O signal.

controlledIPD-YESFeb 2026View details →

The Impact of Heavy Alcohol Use on Saliva and Oral Health

ClinicalTrials.gov study NCT06684483. IPD Sharing: YES. Countries: 1. Publications: 4.

Safety and Immunogenicity of a First-in-Human Mosquito Saliva Peptide Vaccine

ClinicalTrials.gov study NCT03055000. IPD Sharing: Not stated. Countries: 1. Publications: 4.

Bisphenol A in Saliva and Urine Related to Placement of Dental Composites

ClinicalTrials.gov study NCT02575118. IPD Sharing: Not stated. Countries: 1. Publications: 1.

controlledIPD-YESFeb 2026View details →

Saliva and Plasma Exosomes for Oral Leukoplakia Malignant Transformation Diagnosis and Oral Cancer Prognosis Monitoring

ClinicalTrials.gov study NCT06469892. IPD Sharing: YES. Countries: 1. Publications: 14.

Characterization of Skin Immunity to Aedes Aegypti Saliva in Dengue-endemic Participants in Cambodia

ClinicalTrials.gov study NCT04350905. IPD Sharing: Not stated. Countries: 1. Publications: 3.

Acetylcysteine Rinse in Reducing Saliva Thickness and Mucositis in Patients With Head and Neck Cancer Undergoing Radiation Therapy

ClinicalTrials.gov study NCT02123511. IPD Sharing: Not stated. Countries: 1. Publications: 1.