The excel file contains data about 10-18 years old students' affect/ well-being during lock-down in Pakistan. The cells in the top row contain the items. The numbers in the columns 'C' to 'J' represent following. 1 = Very Often; 2 = Often; 3 = Sometimes; 2 = Rarely; 1 = Never The numbers in the column 'K' have been coded in reverse order. Column 'L' contains response of the question "Have you started fighting more with your siblings?" Column 'M' and 'N' include open-ended, short responses.

These data are mainly obtained from the sliceomatic software for the measurements of angles, lever arms and volume of reconstructions. The ratios have been calculated on excel

This package contains the files required for replicating the results reported in the paper “The Flexible Reverse Approach for Decomposing Economic Inefficiency: With an Application to Taiwanese Banks” coauthored with Jesús T Pastor, Juan Aparicio, and Javier Alcaraz and accepted for publication in June 2024 in Economic Modelling.

The package contains:

• A Word™ file describing the content of the accompanying Excel file, where the results of the example reported in Table 1 are replicated. The file includes basic instructions for running Excel’s Solver and the Visual Basic for Applications (VBA) macros that automate the optimization processes for all firms.

• An Excel™ file consisting of four tabs. The first tab presents the data, while each successive tab includes the models and results for the weighted additive technical inefficiency (Model_1), profit inefficiency (Model_4), and the closest benchmarks maximizing profit (Model_5).

The replication files correspond to the example used to illustrate the flexible reverse approach for measuring and decomposing profit inefficiency. The data on Taiwanese banks, collected and studied by Juo et al. (2015), were kindly provided by Prof. Tsu-Tan Fu. Since these data are not publicly available, readers interested in replicating the empirical application should contact the above authors. The spreadsheets can be easily modified to measure and decompose the profit inefficiency of any dataset of choice.

Reference: Juo, J. C., Fu, T. T., Yu, M. M., & Lin, Y. H. (2015). Profit-oriented productivity change. Omega, 57, 176-187.

A Microsoft Excel file containing the data that forms the figures in the main text of the publication. The Microsoft Excel file contains the ultrafast transient absorption and photoluminescence data for TXO-TPA and 4CzIPN, presented in wavelength (nm) and time (ps). Also included is the steady state Raman and impulsive vibrational spectra of TXO-TPA and 4CzIPN at 0.5, 3, and 10 ps (in wavenumbers). The full datasets for the quantum-chemical molecular dynamics simulations of TXO-TPA are also presented. See the main manuscript for more details.

T1 values for intraobserver reproducibility assessment; Excel data with manual ROI placement by observer 1.

Dryad_MatedPair_DataThis spreadsheet (MS Excel format) contains data related to raven mate pairing behavior with respect to their mtDNA haplotypes. See the associated ReadMe file for addition details.

T1 values for interobserver reproducibility assessment; Excel data with semiautomatic ROI placement by observer 1 and 2.

Go to http://on.ny.gov/1GpWiHD on the New York Lottery website for past Powerball results and payouts.

Literature search methods: A systematic review was done in November 2014 using the databases Web of Science and Google Scholar to collect and analyse the primary literature to date written about tool use and tool making behaviour in non-human animals. The search for publications on Google Scholar was done using the search terms “tool+using+making+animals”, including only articles, written in a non-limited period of time, sorted by relevance. Since Google Scholar provided a large amount of articles in a descending order from more relevant to less relevant, we detected relevant articles doing a first manual scan looking at the title and at the abstract until relevance was consistent, producing a total of 23 possible publications.The search for literature that was executed using the database Web of Science was done using the search terms “Tool*” (Topic) AND “Use* OR Utilization*” (Topic) AND “Mak*” (Topic) AND “Animal*”(Topic). This produced a result of 316 possible publications. Then we refined the results using the following search categories: “Behavioral Sciences”, “Ecology”, “Zoology”. We also selected only articles. After that, 9 articles were left. Then these underwent a title and abstract scan for relevance to the specific topic. The full text of the remaining articles was processed, and the articles that did not provide specific information about the occurrence of tool use and/or tool behaviour in animals were excluded. We also excluded all the secondary literature as reviewed primary literature without providing its own data. Articles whose content was not focused on the specified topic and articles whose data provided were not enough were also excluded. Of the 339 initial publications, 32 were screened: 2 were removed for not being primary research articles, 24 were directly related to the topic, 6 were excluded with reasons listed above. The remaining 24 studies included in the analysis were composed of experiments from 1973 to 2014. Out of 24 articles, 4 were written in 2005, 2 in 1982, 2 in 1990, 2 in 1994, 2 in 2003 and 2 in 2014. All articles that were included in this review were published in English in a total of 17 journals. Journal of Comparative Psychology published 4 articles out of 24 and Primates published 3. Analysis of the literature: Studies were coded by the geographical location (country's name), the duration (total lenght of the research measured in months), the type of the experiment performed ( observational, experimental), the common name of the animal observed or used as experimental subject, the activity that was the scope of the tool use behaviour, the kind of tool being used.

Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript.

Excel sheet containing numerical data used to generate Figs 2–8 and S1.

Nigeria adopted dolutegravir (DTG) as part of first line (1L) antiretroviral therapy (ART) in 2017. However, there is limited documented experience using DTG in sub-Saharan Africa. Our study assessed DTG acceptability from the patient’s perspective as well as treatment outcomes at 3 high-volume facilities in Nigeria. This is a mixed method prospective cohort study with 12 months of follow-up between July 2017 and January 2019. Patients who had intolerance or contraindications to non-nucleoside reverse-transcriptase inhibitors were included. Patient acceptability was assessed through one-on-one interviews at 2, 6, and 12 months following DTG initiation. ART-experienced participants were asked about side effects and regimen preference compared to their previous regimen. Viral load (VL) and CD4+ cell count tests were assessed according to the national schedule. Data were analysed in MS Excel and SAS 9.4. A total of 271 participants were enrolled on the study, the median age of participants was 45 years, 62% were female. 229 (206 ART-experienced, 23 ART-naive) of enrolled participants were interviewed at 12 months. 99.5% of ART-experienced study participants preferred DTG to their previous regimen. 32% of particpants reported at least one side effect. “Increase in appetite” was most frequently reported (15%), followed by insomnia (10%) and bad dreams (10%). Average adherence as measured by drug pick-up was 99% and 3% reported a missed dose in the 3 days preceding their interview. Among participants with VL results (n = 199), 99% were virally suppressed (

Original data set for Fukushima et al study on mitochondrial ROS generation under conditions simulating early reperfusion injury. Microsoft Excel spreadsheet, with one tab/sheet for each figure. See "Read Me" tab for more details. Note - Tukey's post-hoc tests used "Real Statistics" Excel plug-in. Underlying calculations are not included, since they will only be visible to those with the plug-in installed in Excel.