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In this Data Note, we present details regarding Maternal, Neonatal, and Child Health (MNCH) datasets sourced directly from patients' medical records. These datasets consist of 538 maternal, 720 neonatal, and 425 child records, all collected at St Luke’s General Hospital in Anua, Uyo, Nigeria, spanning from 2014 to 2019. Variables included in the datasets are: Maternal {patient number, date of visit, gender, age, class of patient, address, LGA, diagnose, symptom, prescription, blood pressure (mm Hg), temperature (degree centigrade), weight (Kg), latitude, longitude, elevation, (MSL), date record, GPS Accuracy (m)}; Neonatal {patient number, date of visit, gender, age, class of patient, address, LGA, symptom, health status, height (cm), weight (Kg), latitude, longitude, elevation (MSL), date record, GPS Accuracy (m)}; and Child Health {patient number, date of visit, gender, age, class of patient, address, LGA, diagnose, health history, temperature (degree centigrade), weight (Kg), latitude, longitude, elevation (MSL), date record, GPS accuracy (m)}. The purpose of sharing these datasets is to provide a resource for researchers interested in their potential reuse, whether for analysis, research, quality assurance, policy formulation, decision-making, patient safety, or other purposes. The datasets also include location information obtained through GPS (Global Positioning System) data from the study area, facilitating spatiotemporal analysis. We outline the methods used for curating the datasets, including the protocol for selecting and processing variables. To protect patient privacy, certain personal details such as names were replaced with unique patient numbers generated using Microsoft Excel. Furthermore, specific patient information, including addresses/locations, date of visit, latitude, longitude, elevation, and GPS accuracy, has been restricted for privacy reasons. Readers interested in accessing restricted data can make a formal request to the corresponding author (see data restriction statement). The curated datasets are available at the Open Science Framework.

Superoxide dismutase [Cu-Zn] 1 (SOD1), is an antioxidant enzyme encoded by the gene SOD1, responsible for regulating oxidative stress levels by sequestering free radicals. Identified as the first gene with mutations in Amyotrophic lateral sclerosis (ALS), SOD1 is a determinant for studying diseases of aging and neurodegeneration. With guidance on well-characterized anti-SOD1 antibodies, the reproducibility of SOD1 research would be enhanced. In this study, we characterized eleven SOD1 commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

The amyloid-beta precursor protein is a transmembrane protein expressed in many tissues and highly concentrated in the brain. The protein is of significant interest due to its involvement in the generation of amyloidogenic β-amyloid peptides, prone to plaque formation that is characteristic of Alzheimer’s Disease. The scientific community would benefit from the availability of high-quality anti-amyloid-beta precursor protein antibodies to enhance reproducible research on this target. In this study, we characterized eleven amyloid-beta precursor protein commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Moesin is a cytoskeletal adaptor protein, involved in the modification of the actin cytoskeleton, with relevance to Alzheimer’s Disease. Well characterized anti-Moesin antibodies would benefit the scientific community. In this study, we characterized ten commercial antibodies for Moesin in Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

CHCHD10 is a mitochondrial protein, implicated in the regulation of mitochondrial morphology and cristae structure, as well as the maintenance of mitochondrial DNA integrity. Recently discovered to be associated with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) in its mutant form, the scientific community would benefit from the availability of validated anti-CHCHD10 antibodies. In this study, we characterized four CHCHD10 commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. As this study highlights high-performing antibodies for CHCHD10, we encourage readers to use it as a guide to select the most appropriate antibody for their specific needs.

Apolipoprotein E is a secreted protein involved in mediating lipid distribution and metabolism among cells of specific tissues. The dysregulation of Apolipoprotein E can disturb cholesterol homeostasis, resulting in several diseases, including cardiovascular disease and Alzheimer’s disease. The therapeutic potential of Apolipoprotein E against these diseases demonstrates the importance of providing high-quality antibodies for this protein to the scientific community. In this study, we characterized fourteen Apolipoprotein E commercial antibodies for Western Blot and immunoprecipitation, using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Charged multivesicular body protein 2B is a subunit of the endosomal sorting complex required for transport III (ESRCT-III), a complex implicated in the lysosomal degradation pathway and formation of multivesicular bodies. Mutations to the CHMP2B gene can result in abnormal protein aggregates in neurons and is therefore predicted to be associated in neurodegenerative diseases, including across the ALS-FTD spectrum. Through our standardized experimental protocol which compares read-outs in knockout cell lines and isogenic parental controls, this study aims to enhance the reproducibility of research on this target by characterizing eight commercial antibodies against charged multivesicular body protein 2b using Western Blot, immunoprecipitation, and immunofluorescence. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Background: With the outbreak of global climate problems in recent years, more and more countries have proposed carbon neutral plans. The measurement of forest carbon sinks is gradually becoming a research hotspot in the field of carbon sinks. Methods: Based on observations of the amount of change in oxygen concentration in the forest canopy, we propose a simple and accurate method of forest carbon sinks measurement. Conclusions: In this data note, we provide the data of oxygen concentration in the canopy of a 160-hectare forest in Beijing, and give a convenient equation for calculating the carbon sequestration and carbon sink according to the changes of 15 days oxygen concentration.

Apolipoprotein E is a secreted protein involved in mediating lipid distribution and metabolism among cells of specific tissues. The dysregulation of Apolipoprotein E can disturb cholesterol homeostasis, resulting in several diseases, including cardiovascular disease and Alzheimer’s disease. The therapeutic potential of Apolipoprotein E against these diseases demonstrates the importance of providing high-quality antibodies for this protein to the scientific community. In this study, we characterized fourteen Apolipoprotein E commercial antibodies for Western Blot and immunoprecipitation, using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

A member of the RNA-binding protein family, T-cell intracellular antigen-1 (TIA1) regulates mRNA translation and splicing as well as cellular stress by promoting stress granule formation. Variants of the TIA1 gene have implications in neurogenerative disorders including amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD). Reproducible research on TIA1 would be enhanced with the availability of high-quality anti-TIA1 antibodies. In this study, we characterized twelve TIA1 commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

RNA-binding protein Fused-in Sarcoma (FUS) plays an essential role in various cellular processes. Mutations in the C-terminal domain region, where the nuclear localization signal (NLS) is located, causes the redistribution of FUS from the nucleus to the cytoplasm. In neurons, neurotoxic aggregates are formed as a result, contributing to neurogenerative diseases. Well-characterized anti-FUS antibodies would enable the reproducibility of FUS research, thereby benefiting the scientific community. In this study, we characterized ten FUS commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

TAR DNA-binding protein 43 (TDP-43) is a DNA/RNA binding protein playing a critical role in the regulation of transcription, splicing and RNA stability. Mutations in TARDBP leading to aggregation, are suspected to be a characteristic feature of various neurogenerative diseases. The lack of well-characterized anti- TDP-43 antibodies acts as a barrier to establish reproducible TDP-43 research. In this study, we characterized eighteen TDP-43 commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many well-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Background: This database aims to present the sociodemographic and clinical profile of a cohort of 799 patients hospitalized with coronavirus disease 2019 (COVID-19) in two hospitals in southern Brazil. Methods: Data were collected, retrospectively, from November 2020 to January 2021, from the medical records of all hospital admissions that occurred from 1 April 2020 to 31 December 2020. The analysis of these data can contribute to the definition of the clinical and sociodemographic profile of patients with COVID-19. Data description: This dataset covers 799 patients hospitalized for COVID-19, characterized by the following sociodemographic variables: sex, age group, race, marital status and paid work. The sex variable was collected as sex assigned at birth from medical records data. Clinical variables included: admission to clinical ward, hospitalization in the Intensive Care Unit, COVID-19 diagnosis, number of times hospitalized due to COVID, hospitalization time in days and risk classification protocol. Other clinical variables include: pulmonary impairment; patients ventilation pattern; high-flow oxygen mask; pulmonary thromboembolism; cardiovascular disease; pulmonary sepsis; influenza exam results. Other health problems: diabetes, systemic arterial hypertension, chronic obstructive pulmonary disease, obesity, tabaco smoking, asthma, chronic kidney disease, overweight, vascular accident, sedentary lifestyle, HIV/AIDS, cancer, Alzheimer's disease, Parkinson's disease. Conclusions: The analysis of these data can contribute to the definition of the clinical and sociodemographic profile of patients with COVID-19. Thus, a great social impact is demonstrated when databases are published. Open data accelerates the research process, facilitates reuse and enriches datasets, in addition to optimizing the application of public resources, that is, enabling more use of the same investment.

Circular RNAs (circRNAs), once thought to be a result of splicing errors, have been found to be involved in various molecular processes and in the pathology of various diseases, including cancer and neurodegenerative diseases. Additionally, circRNA expression was found to be altered by lifestyle habits, such as smoking cigarettes. Past studies have revealed that the rate of smoking remains high in people living with human immunodeficiency virus (HIV). In this study, we isolated total RNA from uninfected T-cells that have been exposed to cigarette smoke and compared the expression levels of circRNAs to those of T-cells that were not exposed to cigarette smoke. We identified certain circRNAs that were upregulated or downregulated in T-cells when exposed to cigarette smoke. These data indicate that the study of circRNAs is warranted within the context of HIV.

Ichthyosporea, a clade of holozoans, represent a clade closely related to animals, and thus hold a key phylogenetic position for understanding the origin of animals. We have previously discovered that an ichthyosporean, Sphaeroforma arctica, contains microRNAs (miRNAs) as well as the miRNA processing machinery. This was the first discovery of miRNAs among the closest single-celled relatives of animals and raised intriguing questions about the roles of regulatory small RNAs in cell development and differentiation in unicellular eukaryotes. Like many ichthyosporeans, S. arctica also undergoes a transient multicellular developmental life cycle. As miRNAs are, among other roles, key regulators of gene expression during development in animals, we wanted to investigate the dynamics of miRNAs during the developmental cycle in S. arctica. Here we have therefore collected a comprehensive time-resolved small RNA transcriptome linked to specific life stages with a substantially higher sequencing depth than before, which can enable further discovery of functionally relevant small RNAs. The data consists of Illumina-sequenced small RNA libraries from two independent biological replicates of the entire life cycle of S. arctica with high temporal resolution. The dataset is directly linked and comes from the same samples as a previously published mRNA-seq dataset, thus enabling direct cross-functional analyses.

This data note provides details of the development of a Verbal Autopsy (VA) dataset produced with the South African Population Research Infrastructure Network (SAPRIN) drawing on datasets from health and socio-demographic surveillance sites’ (HDSS) ‘ covering a population of over 250,000 in two rural provinces in South Africa for the period 2012–2019. The purpose of the data set was to refine an analytical tool within VA, which provides unique information on care seeking and utilisation at and around the time of death complementary to that of medical cause of death. On an individual basis, the dataset includes demographic data, probable cause of death data, and data on care seeking and utilisation at or around the time of death drawn from longitudinal population cohorts. The purpose of this publication is to describe both the dataset and methods in formatting and processing the data for other researchers who may be interested in similar data. The data described in this paper are available to be requested from the respective HDSS repositories.

Vacuolar protein sorting-associated protein 35 is a subunit of the retromer complex, a vital constituent of the endosomal protein sorting pathway. The D620N mutation in the VPS35 gene has been reported to be linked to type 17 Parkinson’s Disease progression, the exact molecular mechanism remains to be solved. The scientific community would benefit from the accessibility of validated and high-quality anti-hVPS35 antibodies. In this study, we characterized thirteen hVPS35 commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Incorporating eels and tempe can replace and complement the content of proteins, macronutrients, and micronutrients, which may be related to curative effects for malnutrition. In addition, converting the ingredients into a form of flour can increase their shelf life and nutrient concentration. Therefore, an in vivo approach was undertaken to explore further the nutritional status value of biomarkers in malnourished male rats ( Rattus norvegicus) after Eel and Tempe Composite (ETC) flour supplementation. Data was collected from blood samples (both plasma and serum) of rats in all groups, and the appropriate biomarkers were analyzed. The final data presented in this study is openly available and can be further analyzed using statistical means to determine the dose of ETC flour as the basis of clinical trials, which other researchers can reproduce. This data may also be valuable for those interested in using different analytical methods to research the same questions or even new preclinical studies focusing solely on nutritional status biomarker analysis methods, including clinical trial prospects.

CHCHD10 is a mitochondrial protein, implicated in the regulation of mitochondrial morphology and cristae structure, as well as the maintenance of mitochondrial DNA integrity. Recently discovered to be associated with amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) in its mutant form, the scientific community would benefit from the availability of validated anti-CHCHD10 antibodies. In this study, we characterized four CHCHD10 commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. As this study highlights high-performing antibodies for CHCHD10, we encourage readers to use it as a guide to select the most appropriate antibody for their specific needs.

Company profitability is a crucial indicator that can be used for developing and sustaining trust in accounting information and, thus, inefficient capital markets. Companies with good financial statements' key indicators have a more extensive customer base and can diversify their revenue streams, making them more resilient to economic downturns. Assembling and managing taxes is a critical underpinning to protecting a country's financial intensity and developing a country's tax-system. VAT is a primary source of financial gain in developing nations, which differs from economic income in developed countries, where economic income is primarily derived from tax income. In emerging economies, the existing practice requires firms to effectively and efficiently publish annual-reports and indicators on market-websites, as users rely heavily on timely-information and need it to make decisions. However, these practices fell short of expectations, requiring more research. These variables are crucial for most accounting/economics/taxation research models and the lack of easily attainable data in well-known databases (e.g., ARGAAM; DataStream). This article is primarily a dataset for analysing taxation, performance variables, and key financial-statement indicators. The data describes the raw, combined, and filtered information at the company level, such as company profit and government debt in Saudi Arabia. It combines a firm-level panel dataset sample of company profit that its measures scaled by total assets and include: earnings before interest, taxes, decrease and amortisation, earnings before interest and taxes, earnings after taxes and earnings before taxes—moreover, the time series dataset sample of 11 financial statements' key indicators. The dataset results from 494 company-year observations (226-panel data sample and 268-time series data sample) from 2019 to 2020. Data has been collected from taxation reports, corporate annual reports, ARGAAM database, FinBox database, the Trading Economics database and the Tadawul-market website in Saudi Arabia.

Superoxide dismutase [Cu-Zn] 1 (SOD1), is an antioxidant enzyme encoded by the gene SOD1, responsible for regulating oxidative stress levels by sequestering free radicals. Identified as the first gene with mutations in Amyotrophic lateral sclerosis (ALS), SOD1 is a determinant for studying diseases of aging and neurodegeneration. With guidance on well-characterized anti-SOD1 antibodies, the reproducibility of SOD1 research would be enhanced. In this study, we characterized eleven SOD1 commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

RNA-binding protein Fused-in Sarcoma (FUS) plays an essential role in various cellular processes. Mutations in the C-terminal domain region, where the nuclear localization signal (NLS) is located, causes the redistribution of FUS from the nucleus to the cytoplasm. In neurons, neurotoxic aggregates are formed as a result, contributing to neurogenerative diseases. Well-characterized anti-FUS antibodies would enable the reproducibility of FUS research, thereby benefiting the scientific community. In this study, we characterized ten FUS commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Ubiquilin-2, a member of the ubiquilin protein family, plays a role in the regulation of various protein degradation pathways, and is mutated in some neurodegenerative diseases. Well-characterized anti-Ubiquilin-2 antibodies would advance reproducible research for Ubiquilin-2 and in turn, benefit the scientific community. In this study, we characterized ten Ubiquilin-2 commercial antibodies for Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Profilin-1, a member of the Profilin family, is a ubiquitously expressed protein that controls actin polymerization in a concentration-dependent manner. As mutations in the Profilin-1 gene have potential implications in neurodegenerative disease progression, well-characterized anti-Profilin-1 antibodies would be beneficial to the scientific community. In this study, we characterized sixteen Profilin-1 commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence applications, using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Sequestosome-1, encoded by the gene SQSTM1, functions as a bridge between ubiquitinated proteins and the proteasome or autophagosome, thereby regulating protein degradation pathways. Loss of Sequestosome-1 is hypothesized to enhance neurodegeneration progression in several diseases, including amyotrophic lateral sclerosis (ALS) and frontotemporal disorders (FTD). Sequestosome-1 reproducible research would be facilitated with the availability of well-characterized anti-Sequestosome-1 antibodies. In this study, we characterized seventeen Sequestosome-1 commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Transmembrane protein 106B (TMEM106B), a protein that is localized to the lysosome, is genetically linked to many neurodegenerative diseases and forms fibrils in diseased brains. The reproducibility of TMEM106B research would be enhanced if the community had access to well-characterized anti-TMEM106B antibodies. In this study, we characterized six commercially available TMEM106B antibodies for their performance in Western blot, immunoprecipitation, and immunofluorescence, using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many high-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Secreted frizzled-related protein 1 (sFRP-1) is a secreted protein, belonging to the secreted glycoprotein SFRP family. As a modulator of the Wnt/β-catenin signalling pathway, sFRP-1 has implications in human cancers and neurologic diseases. If the community had access to well-characterized anti-sFRP-1 antibodies, the reproducibility of sFRP-1 research would be enhanced. In this study, we characterized 11 sFRP-1 commercial antibodies for Western Blot and immunoprecipitation, using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many well-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

TAR DNA-binding protein 43 (TDP-43) is a DNA/RNA binding protein playing a critical role in the regulation of transcription, splicing and RNA stability. Mutations in TARDBP leading to aggregation, are suspected to be a characteristic feature of various neurogenerative diseases. The lack of well-characterized anti- TDP-43 antibodies acts as a barrier to establish reproducible TDP-43 research. In this study, we characterized eighteen TDP-43 commercial antibodies for Western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified many well-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

This data note describes a unique two-step methodology to construct six linked datasets covering the sequencing of Saccharomyces cerevisiae, Homo sapiens, and Sus scrofa genomes. The datasets were used as evidence in a project that investigated the history of genomic science. To design the datasets, we first retrieved all sequence submission data from the European Nucleotide Archive (ENA), including accession numbers associated with each of our three species. Second, we used these accession numbers to construct queries to retrieve peer-reviewed scientific publications that first described these sequence submissions in the scientific literature. For each species, this resulted in two associated datasets: 1) A .csv file documenting the PMID of each article describing new sequences, all paper authors, all institutional affiliations of each author, countries of institution, year of first submission to the ENA (when available), and the year of article publication, and 2) A .csv file documenting all institutions submitting to the ENA, number of nucleotides sequenced and years of submission to the database. We utilised these datasets to understand how institutional collaboration shaped sequencing efforts, and to systematically identify important institutions and changes in the structure of research communities throughout the history of genomics and across our three target species. This data note, therefore, should aid researchers who would like to use these data for future analyses by making the methodology that underpins it transparent. Further, by detailing our methodology, researchers may be able to utilise our approach to construct similar datasets in the future.

Moesin is a cytoskeletal adaptor protein, involved in the modification of the actin cytoskeleton, with relevance to Alzheimer’s Disease. Well characterized anti-Moesin antibodies would benefit the scientific community. In this study, we characterized ten commercial antibodies for Moesin in Western Blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. We identified well-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Midkine is a secreted protein that acts as a growth factor or cytokine involved in cell survival and inflammatory processes. It accumulates in amyloid plaques, which are hallmarks of Alzheimer’s Disease (AD). The reproducibility of Midkine research would be enhanced if the community had access to well-characterized anti-Midkine antibodies. In this study, we characterized 8 commercial Midkine antibodies for Western blot and immunoprecipitation, using a standardized experimental protocol based on comparing read-outs in a knockout cell line and isogenic parental control. We identified many well-performing antibodies and encourage readers to use this report as a guide to select the most appropriate antibody for their specific needs.

Background: The datafication scenario of the current communicative ecosystem poses a challenge to media and digital literacy, especially in terms of participation and civic and democratic engagement of youth. Methods: For this purpose, through a survey with a representative sample of 600 young people in Spain, between 16 and 18 years old, we observed their level of digital literacy through three variables: technical competencies, informational competencies, and critical knowledge. This dataset also collects information on the reasons why young people use digital technology such as video games, consoles, computers or mobile phones. On the other hand, we also offer information on the types of social networks or applications and the time and types of uses by youngsters of different digital technologies and social media platforms. The survey includes socio-demographic factors such as gender including (male, female, and others). Conclusions: This survey offers researchers relevant data on the digital skills of Spanish youth and on the perceptions of the use of different digital technologies. This paper also reports the main descriptive data that can be expanded by researchers accessing the database.

This dataset presents data collected to assess teaching and learning of quantum physics at the University of Rwanda - College of Education (UR-CE), Rwanda. Data were collected between August and November 2019 as the baseline, and between January and April 2022 under a quasi-experimental design. Three sets of data were collected. The first set was about students’ performance and conceptual understanding collected before and after teaching intervention (lecture method or multimedia-aided approach) using mainly Quantum Physics Conceptual Survey (QPCS). The second set documented classroom practices during teaching and learning using the Classroom Observation Protocol for Undergraduate STEM (COPUS). The last set is comprised of the data related to lecturers’ and students’ perceptions before teaching and learning quantum physics and students’ attitudes after learning Quantum physics. The Quantum Physics Attitude Test (QPAT) was mainly used to collect these data. The dataset is important to education stakeholders because university managers can visualize the status of teaching and learning outcomes, lecturers can reflect on the study, and researchers can use the data to analyze various independent variables.

Biometric systems remain the most widely used methods for identification and authentication purposes. Their wide acceptability has opened up more research into new application areas of biometric systems. However, biometric research requires an appropriate biometric dataset to validate the proposed technique. This dataset could be privately owned or publicly available for research purposes. In the field of iris biometric research, the iris dataset produced by the Chinese Academy of Sciences (CASIA) is the first, most popular, and widely used publicly available iris dataset. However, the increasing popularity and acceptability of human iris-related research have called for additional benchmarks, and therefore, new publicly available databases of human iris images. Existing publicly available human iris datasets have been collected from non-African subjects; therefore, this dataset is the first publicly available human iris dataset of African descent. Three categories of images were collected from 1028 volunteers that participated in the data collection task. The first category was made up of four iris images that were captured when the volunteers used spectacles, while the second category includes four iris images that were captured when the volunteers wore no spectacles. However, the third category of iris images was obtained from eight volunteers that used print-patterned contact lenses. Only four images were captured from volunteers in this category as they were not asked to put on spectacles. In addition to the iris images captured, soft biometric features such as age, gender, state of origin, weight, and height of the volunteers were also captured. It is strongly believed that this unique collection of iris datasets of African descent will open up new research in the study of the human iris.

We present a dataset of the monthly cases of pipeline vandalism in Nigeria from January 2015 to January 2021. Data used in this study were collated from the Monthly Financial and Operations Reports (MFOR) of the Nigeria National Petroleum Corporation (NNPC). Each MFOR provides cases of pipeline vandalism during a 12-month span from five key locations; Mosimi, Kaduna, Port Harcourt, Warri, and Gombe. Recorded incidences of pipeline vandalism from these locations were summed and assembled into five groups; namely: historical data, prior-COVID-19, COVID-19 lockdown, and post-COVID-19 lockdown. The data were grouped based on dates. These dates were January 2015 to July 2019, August 2019 to January 2020, February 2020 to July 2020, and August 2020 to January 2021 respectively. The historical data were further sub-divided into four sub-groups based on the deployment (May 2016) of sophisticated weapons, satellite imagery, and geographical information system into the security apparatus to checkmate pipeline vandalism. The four sub-groups are sub-group A (one-year before deployment), sub-group B (the year of deployment), sub-group C (one-year after deployment), and sub-group D (two-years after deployment). The dates span for each sub-group is May 2015-April 2016, May 2016-April 2017, May 2017-April 2018, and May 2018-April 2019 respectively. After the deployment of GIS devices in May 2016, the accumulated national number of pipeline vandalism cases declined from 400 cases in January 2016 to 293 in February 2016, and 259 cases in March 2016 as opposed to 60, 49, and 94 cases in the same months in 2017; but over the years, 2017 to 2021 these methods have proved less effective, and cases of pipeline vandalism have risen once more. Similar changes in the number of cases and patterns were observed during the COVID-19 movement restrictions. From the dataset, it can be seen that COVID-19 influenced incidences of pipeline vandalism.

TBK1 is a serine-threonine protein kinase that has been linked to a number of diseases including amyotrophic lateral sclerosis and frontotemporal dementia. Reproducible research on TBK1 has been hampered by the lack of well characterized antibodies. In this study, we characterized 11 commercial antibodies for TBK1 for use in immunoblot, immunofluorescence and immunoprecipitation, using an isogeneic knock-out cell line as a control. We identify antibodies that appear specific for all three applications but invite the readers to interpret the present findings based on their own scientific expertise and use this report as a guide to select the most appropriate antibody for their specific needs.

Background: The expanding Acacia decurrens woodlots in Northwestern Ethiopia is recognized for carbon storage via root biomass and soil organic carbon (SOC) enhancement but its planting densities have varied considerably. This study evaluated the effect of planting density on the root biomass, SOC stock, and vertical distributions in the stands. Methods: Five planting densities (0.5 m x 0.5 m, 0.75 m x 0.75 m, 1 m x 1 m, 1.25 m x 1.25 m, and 1.5 m x 1.5 m) were replicated four times with randomized complete block design. Soil core (6.67 cm diameter) and pit (900 cm 2 area) methods were used to collect fine and coarse root samples within 0–50 cm soil depth (having five soil layers in 10 cm intervals), respectively. Fine root biomass samples were classified as live and dead (necromass) and further as tree and herbaceous root. All root biomass samples were washed, oven-dried, weighed, and standardized into gram per meter square (g m -2) for root biomass comparisons for each planting density and soil depth, then summed up for 0–50 cm depth as a total root biomass. The vertical distributions of fine and coarse root biomass at each depth were expressed as a percentage (in decimal) of the total root biomass (0–50 cm). Conclusions: Planting density had significant effects on root biomass, SOC stock, and root distributions (P < 0.05) but inconsistent for the percentage of SOC stock at all soil layers except at 40-50 cm. Planting A. decurrens with high density is recommended to increase root biomass, SOC, and percentage of roots in deep soil layers. Further study is suggested for the effects of stand age on root biomass dynamics and SOC stock with large scale.

Natural compounds are increasingly becoming an important source of drug leads for computer-aided drug design approaches. Cucurbita maxima has been observed to have medicinal properties and can, therefore, be a potential source of novel drug leads. However, before compounds can be synthesized in the lab for tests, modern approaches require that the candidate compounds be screened for drug-likeness characteristics and toxicity, among others. In this work, the computational tools, SwissADME and DataWarrior were used to screen C. maxima compounds for their potential consideration as drug leads. A total of 130 compounds, downloaded from the LOTUS natural products database, were computationally analysed. The data set presented in this work will be useful to researchers searching for novel drug leads based on natural compounds.

Background: The volatilome of fermented food products are essential metabolites that significantly contribute to such foods’ overall composition and sensorial quality. The dataset presented herein represents the volatilome of raw and fermented maize flour samples. Methods: Maize grains were milled and naturally fermented at 35°C into sourdough at different periods (24, 48 and 72 h) and, at each point, the profile of the volatiles was investigated. Samples at the different fermentation periods were analyzed using solid phase microextraction coupled with a gas chromatography-high resolution time of flight-mass spectrometry (SPME-GC-HRTOF-MS). Results: Data obtained were classified into different compound groups such as alcohols, aldehydes, aromatic compounds, esters, organic acids, terpenes, ketones, among others and their characteristics such as the retention time, observed mass, molecular formular, mean peak areas and mass spectra also presented. Conclusion: These datasets of fermented maize volatilome can be used as biomarkers for maize fermentation.

The article presents a dataset on the characteristics of stablecoins. Stablecoins represent a relatively young but increasingly important branch of the cryptocurrency market. Although they all share the same goal of maintaining a stable value in the digital market, they form a highly heterogeneous group. They differ in terms of collateral and stabilization mechanism, peg, availability of the technical documentation, presence on crypto exchanges or age. The dataset is cross-sectional and was created based on internet research. Individual information was collected from websites of the stablecoin projects and a crypto-data aggregator, and to a lesser extent from other auxiliary sources (websites related to finance and cryptocurrencies). The dataset is unique as there are no publicly available databases encompassing the features of stablecoins. It can be used in all stablecoin-related analyses to characterise the examined coins and to investigate the relationship between cryptocurrency market developments and stablecoin features.

Background: In this data note, we provide the details of a qualitative study database conducted before the first wave of the COVID-19 pandemic in Mozambique. During this period (from September 2020), several compulsory COVID-19 preventive measures were put forth as a response to the emerging pandemic in the country. Data were collected aiming to evaluate home confinement behaviours, household members’ mobility, and the mobility routes and other attitudes and practices related to COVID-19 preventive measures at the community level. Methods: A cross-sectional, descriptive, mixed method study was conducted involving adults from different regions in Mozambique. Data were collected using a combination of rapid ethnography and rapid rural assessment methods consisting of telephone-based semi-structured interviews, informal conversations, non-participant observations and short questionnaires. The COREQ guidelines for reporting qualitative studies were performed. Results: 295 semi-structured interviews (SSI) with adult household members were included in the study. Of these, 23 were conducted face-to-face and 272 by telephone, covering 24 districts and cities in 9 provinces. More than half (53.9%) of participants were females and aged 18 - 98 years old (median [interquartile range] = 35 [29-43]). Most had a relevant role in the household, with formal education and had to leave home for income generating. Conclusion: This data, available in our repository, favours several angles of assessments of behaviour related to home confinement, mobility and routes of a population group prior to the first wave of the COVID-19 outbreak.

Crude oil pollution is an endemic environmental problem in the Niger Delta region of Nigeria with background pollution levels greater than the regulatory intervention limit of 5000mg/kg of soil as stipulated in the Environmental Guidelines and Standards for Petroleum Industry in Nigeria (EGASPIN) in most polluted sites. Hence, the essence of this study was to evaluate the extent of damage caused by the pollutant (crude oil hydrocarbons) on the soil physicochemical parameters and microbial communities as well as to determine pollution effects on soil microbial ecosystem services. The soil microbial community composition, diversity, functional genes, and metabolic pathways were studied to evaluate the pollutant effect on soil microbiomes and their ability to utilize petroleum hydrocarbons as carbon and energy sources. Two sites Bodo (N4.620134, 7.282998E) and Ngia-Ama Tombia (N4.9816667; 7.0608333E) were chosen for the study. The America standard testing methods (ASTM International) were used in measuring physicochemical parameters of the soil influencing microbial response and pollutant behavior in the soil environment. Soil pH was measured using a pH meter, total petroleum hydrocarbons (TPH) using gas chromatography with a mass spectrophotometer (GC-MS), polycyclic aromatic hydrocarbons (PAHs) (ASTM D5412-93(2017) e1), Heavy metals analysis (ASTM D8404-21), soil texture (ASTM D6913/D6913M-17). Shotgun metagenomic analysis was used to determine microbial community composition, following “DNA extraction”, library preparation (Nextera ® DNA Flex Library Prep Kit (Illumina, San Diego, CA), and sequencing using Illuminana NovaSeq ® 6000. The results were analyzed using bioinformatics pipelines. The sequences generated were deposited in the European nucleotide Archive (ENA) with project accession number PRJEB53529.

The taxon Elasmobranchii (sharks and rays) contains one of the long-established evolutionary lineages of vertebrates with a tantalizing collection of species occupying critical aquatic habitats. To overcome the current limitation in molecular resources, we launched the Squalomix Consortium in 2020 to promote a genome-wide array of molecular approaches, specifically targeting shark and ray species. Among the various bottlenecks in working with elasmobranchs are their elusiveness and low fecundity as well as the large and highly repetitive genomes. Their peculiar body fluid composition has also hindered the establishment of methods to perform routine cell culturing required for their karyotyping. In the Squalomix consortium, these obstacles are expected to be solved through a combination of in-house cytological techniques including karyotyping of cultured cells, chromatin preparation for Hi-C data acquisition, and high fidelity long-read sequencing. The resources and products obtained in this consortium, including genome and transcriptome sequences, a genome browser powered by JBrowse2 to visualize sequence alignments, and comprehensive matrices of gene expression profiles for selected species are accessible through https://github.com/Squalomix/info.

Incorporating eels and tempe can replace and complement the content of proteins, macronutrients, and micronutrients, which may be related to curative effects for malnutrition. In addition, converting the ingredients into a form of flour can increase their shelf life and nutrient concentration. Therefore, an in vivo approach was undertaken to explore further the nutritional status value of biomarkers in malnourished male rats ( Rattus norvegicus) after Eel and Tempe Composite (ETC) flour supplementation. Data was collected from blood samples (both plasma and serum) of rats in all groups, and the appropriate biomarkers were analyzed. The final data presented in this study is openly available and can be further analyzed using statistical means to determine the dose of ETC flour as the basis of clinical trials, which other researchers can reproduce. This data may also be valuable for those interested in using different analytical methods to research the same questions or even new preclinical studies focusing solely on nutritional status biomarker analysis methods, including clinical trial prospects.

To gain a better understanding of user knowledge and perspectives of search engines, a fruitful approach are representative online surveys. In 2020, we conducted an online survey with a sample representative of the German online population aged 16 through 69 ( N = 2,012). The online survey included 12 search engine-related sections. The questions cover topics such as usage behavior, self-assessed search engine literacy, trust in search engines, knowledge of ads and search engine optimization (SEO), ability to distinguish ads from organic results, assessments and opinions regarding SEO, and personalization of search results. SEO is the specific focus of the survey, as it was conducted as part of the SEO Effect project, dealing with issues such as the role of SEO from the user perspective. This data set contains complete data from the online survey. On the one hand, the data set will allow further analyses, and, on the other hand, comparisons with follow-up studies.

The climbing plants in India are listed in detail in this data note. This comprehensive list of climbers was compiled using more than 100 published and unpublished sources that span more than a century. It includes a total of 2,608 species representing 585 genera and 104 spermatophyte plant families. Each species listed in the dataset is categorised according to its degree of woodiness and climbing strategies. The dataset also includes information on The International Union for Conservation of Nature (IUCN) status of all climber species from India. The botanical nomenclature used in the data has been updated to reflect Angiosperm Phylogeny Group (APG) IV classification. Researchers who are conducting ecological, taxonomic, phylogenetic, and evolutionary studies on climbers will be particularly interested in this dataset.

TBK1 is a serine-threonine protein kinase that has been linked to a number of diseases including amyotrophic lateral sclerosis and frontotemporal dementia. Reproducible research on TBK1 has been hampered by the lack of well characterized antibodies. In this study, we characterized 11 commercial antibodies for TBK1 for use in immunoblot, immunofluorescence and immunoprecipitation, using an isogeneic knock-out cell line as a control. We identify antibodies that appear specific for all three applications but invite the readers to interpret the present findings based on their own scientific expertise and use this report as a guide to select the most appropriate antibody for their specific needs.

Background: The National Youth Service Corps programme is, among other targets, aimed at promoting national inclusiveness and tolerance in a culturally heterogeneous society. Despite the importance of this programme, little has been done to evaluate its degree of success. Where evaluations are done, they are never made public. There is a need for the NYSC programme, just like all other public programmes, to be evaluated for transparency, accountability and decision-making. From an evaluation of the three measurable objectives of the NYSC programme, this dataset bridges this gap . Methods: This dataset was collected from Nigerian graduates that completed their national service between 2012 and 2021. The data was collected through an electronic survey posted to various online platforms hosting National Youth Service Corps (NYSC) members of the various sets and batches. The data collection aimed to evaluate the three cardinal objectives of the programme. After three years of data collection (from 2019 to 2021), responses were obtained from 19,278 participants that met the eligibility criteria. The data is an Excel (.xlsx) document with 19,278 cases and 95 variables. Descriptive statistics such as frequency counts and simple percentages were used to summarise the data. However, charts are further used to illustrate the demographic attributes of the respondents. The dataset is broad and covers all the 36 states in Nigeria plus the Federal Capital Territory. Results: The data set has many reuse potentials because it contains information on camp activities (such as parades, military drills, redeployment, quality of food, and facilities, among others), primary assignments and community service engagements of corps members. Conclusions: The data can offer a complete evaluation of how the (NYSC) has attained three of its four cardinal objectives. A series of relationships can further be determined and tested using inferential statistics among the variables included in the dataset.

The purpose of this data collection was to uncover the extent to which communities have emerged that cultivate a shared understanding of open science. In a cross-sectional survey, we assessed the applicability of 13 open science practices over different disciplines and research paradigms. Focusing on completed research projects, participants were able to draw informed evaluations concerning the applicability of open science practices. The total sample is N=295 researchers, with approximately equal numbers from six broad disciplines (between 42 and 52 participants per discipline). The survey included an attention check.

Biological agents and infectious pathogens have the potential to cause very significant harm, as the natural occurrence of disease and pandemics makes clear. As a way to better understand the risk of Global Catastrophic Biological Risks due to human activities, rather than natural sources, this paper reports on a dataset of 71 incidents involving either accidental or purposeful exposure to, or infection by, a highly infectious pathogenic agent. There has been significant effort put into both reducing the risk of purposeful spread of biological weapons, and biosafety intended to prevent the exposure to, or release of, dangerous pathogens in the course of research. Despite these efforts, there are incidents of various types that could potentially be controlled or eliminated by different lab and/or bioweapon research choices and safety procedures. The dataset of events presented here was compiled during a project conducted in 2019 to better understand biological risks from anthropic sources. The events which are listed are unrelated to clinical treatment of naturally occurring outbreaks, and are instead entirely the result of human decisions and mistakes. While the events cover a wide range of cases, the criteria used covers a variety of events previously scattered across academic, policy, and other unpublished or not generally available sources.