Mendeley Data Showcase

Images of uncropped blots related to Figure 2C, Figure 6E, Figure 6F, Figure S3H, and Figure S7L.

In this work, we present a dataset of 12 crop species Apple, Apricot, Bean, Cherry, Maize, Fig, Grapes, Loquat, Pear, Tomato, Walnut and Persimmons with 52 classes 41 diseases and 12 healthy class. That Dataset include 10667 images and after Augmentation the size of 52219 images, and to avoid overfitting deep learning models, augmentation approaches have been employed to improve the dataset's size and quality. All the dataset have collected in Pakistan from two different districts Chitral and charsadda in real environment. The acquired datasets can be utilized to create several deep learning models for the multiclass crop leaves classification.

Research data on the mechanism of the protective effect of synbiotics on acute chemical liver injury in mice based on the TLR4-LPS axis

Powering Time Gains: Electricity Reliability

This study primarily employs three datasets. The first dataset is derived from the World Input-Output Database (WIOD), specifically the 2000–2014 World Input-Output Tables (WIOT) released in 2016. The second dataset comes from the Annual Survey of Industrial Firms (ASIF) in China, covering the period from 2000 to 2013. Following the sequential matching method proposed by Brandt et al. (2012), firms are first matched using their legal entity codes, followed by firm name, and finally postal codes, administrative region codes, and other identifying information. The dataset is then cleaned in accordance with the procedures outlined by Feenstra et al. (2014). The third dataset is sourced from the China Customs Database, which contains monthly trade records from 2000 to 2013. Monthly data are aggregated to the annual frequency, and 8-digit HS codes are collapsed to the 6-digit level. Finally, adopting the method of Upward et al. (2013), the industrial firm data and customs data are matched using firm-level information such as postal codes and telephone numbers.

This dataset contains information collected during an experiment conducted in 2021-2022 in the Atlantic Forest, Cachoeiras de Macacu, RJ, Brazil. The data include allometric measurements of different tadpole species, creating length-weight relationships.

This dataset contains information collected during an experiment conducted in 2021-2022 in the Atlantic Forest, Cachoeiras de Macacu, RJ, Brazil. The data include metrics of secondary production, biomass, and tadpole community density under three treatments: pools under isolated trees, near the forest edge, and in open pasture.

This dataset was generated from a nested case-control study conducted among traditional market vendors enrolled in a health program in the province of Huancayo, located in the Junín region of the Peruvian Central Highlands, during the third wave of the COVID-19 pandemic. The study aimed to explore the association between self-administered prophylactic substances and SARS-CoV-2 infection. A total of 73 cases (individuals with confirmed SARS-CoV-2 infection) were matched to 176 controls (individuals with negative test results) by age, sex, and market of origin. The dataset includes individual-level information on demographic characteristics, self-medication practices (including the use of substances such as acetylsalicylic acid, ivermectin, azithromycin, vitamin C, and others), COVID-19 vaccination status, comorbidities, and SARS-CoV-2 test results. The primary variables of interest include the use of specific prophylactic medications and infection status. Conditional logistic regression was used to evaluate associations between these exposures and the odds of SARS-CoV-2 infection. The dataset supports reproducibility of the main findings reported in the associated manuscript and may be useful for secondary analyses on self-medication practices and COVID-19 outcomes. A description of the dataset variables is provided below. - market: Market of procedure - age_group: Age group - sex: Sex - examination_imc: Body Mass Index (BMI) - obesity: Diagnosis of obesity - examination_systolic: Systolic blood pressure - examination_diastolic: Diastolic blood pressure - hypertension: Diagnosis of hypertension - examination_glucose: Result of Random Blood Sugar test - diabetes: Diagnosis of diabetes - cr_vaccination: Vaccination scheme against SARS-CoV-2 - booster: Booster dose against SARS-CoV-2 - selfmed_none: No consumption of prohylactics - cr_selfmed_aspirin: Consumption of acetylsalicylic acid - cr_selfmed_ivermectin: Consumption of ivermectin - cr_selfmed_chlorinediox: Consumption of chlorine dioxide - cr_selfmed_paracetamol: Consumption of paracetamol - cr_selfmed_ibuprofen: Consumption of ibuprofen - cr_selfmed_corticosteroids: Consumption of corticosteroids - cr_selfmed_azitromicin: Consumption of azithromycin/clarithromycin - cr_selfmed_penicilin: Consumption of penicillin/amoxicillin/ceftriaxone - cr_selfmed_ciprofloxacin: Consumption of ciprofloxacin/levofloxacin - selfmed_antibiotics: Consumption of antibiotics - cr_selfmed_enoxaparin: Consumption of enoxaparin - cr_selfmed_nacetylcysteine: Consumption of N-acetylcysteine - cr_selfmed_bcomplex: Consumption of B complex - cr_selfmed_zinc: Consumption of zinc - cr_selfmed_vitamind: Consumption of vitamin D - cr_selfmed_vitaminc: Consumption of vitamin C - cr_selfmed_other: Consumption of other prophylactics - cr_perceivedrisk: Self-perceived risk of COVID-19 - dx_sarscov2: SARS-CoV-2 diagnosis - match: Matched group

The URAGAN muon hodoscope is a gas coordinate detector that detects cosmic rays over a wide range of zenith angles. Knowledge of the yield, response, and coupling functions of the detector is required to analyze modulations of primary radiation and provide combined research with neutron monitors. The yield function is an average number of detector counts per incident primary particle. The yield function relates the count rate of the detector to the primary cosmic ray spectrum, taking into account both atmospheric cascades at the observation level and the efficiency of the detector. The dataset "yield_functions.csv" presents the muon hodoscope yield function in for primary protons and helium nuclei calculated using CORSIKA 7.7500 with FLUKA 2021.2.9 and QGSJET-II-04 models.

This dataset includes reaction time, error rate, and gaze behavior data collected from older adults during a visual attention task. It was designed to identify early signs of mild cognitive impairment (MCI).