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 (

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

Modeled ground magnetic data was extracted from the Pan American Center for Earth and Environmental Studies database at http://irpsrvgis08.utep.edu/viewers/Flex/GravityMagnetic/GravityMagnetic_CyberShare/ on 2/29/2012. The downloaded text file was then imported into an Excel spreadsheet. This spreadsheet data was converted into an ESRI point shapefile in UTM Zone 13 NAD27 projection, showing _location and magnetic field strength in nano-Teslas. This point shapefile was then interpolated to an ESRI grid using an inverse-distance weighting method, using ESRI Spatial Analyst. The grid was used to create a contour map of magnetic field strength.

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

Excel file containing compiled primary experimental data subjected to statistical analyses.

Full dataset and supplementary analyses for Lopiccolo and Chang (2021, "Cultural factors weaken but do not reverse left-to-right spatial biases in numerosity processing: Data from Arabic and English monoliterates and Arabic-English biliterates", PLoS ONE). The dataset is provided in Excel format (.xlsx) and tab-delimited text format (.txt): Sheet 1 of the Excel file provides the raw (trial-by-trial) reaction time data; Sheet 2, the reaction time difference data; Sheet 3, the demographic data for all participants; and Sheet 4, a key explaining each column of the data spreadsheets in sheets 1-3. Supplementary analyses of error rates, along with a summary table of raw response times, are provided in the PDF file.

This collection of 9-second raster data was compiled for use in modelling biodiversity pattern by developers engaged in supporting the New South Wales Biodiversity Indicators Program. Substrate and landform data derive from existing collections and have been altered from their native format to fill missing and erroneous data gaps as described in the lineage. Climate data were derived using existing methods as described in the lineage. Masks derived or adopted for use in processing the data are included in this collection. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994.
Lineage: The abiotic environmental data in this collection are grouped by broad type - climate, substrate and landform. Datasets are provided in separate compressed folders (*.zip or *.7z). An excel spreadsheet is included with the collection that list and briefly describes all datasets and their source URLs, and the processing location of the data in the CSIRO project archive. A lineage document summarises the mask and gap filling processes. Mask data were developed from existing spatial boundary data including Australian coastline, State and administration boundaries, and previous raster modelling masks for the NARCLIM region. The data gap filling process was conducted in three stages (python processing scripts are included in this collection). In the first stage, the process used a 10 cell Inverse Distance Weighted (IDW) algorithm to fill no Data areas with data. The IDW algorithm used the distance of data values in the search radius as inverse weights in a neighbourhood average. To deal with remaining larger gaps, a second stage IDW was run on the outputs of the first stage with an increased radius of 500 cells. Any remaining data gaps were filled with a global data average. This process of data filling may make the data unsuitable for other uses and should be carefully considered before use. Images of each dataset are provided in the collection for ease of reference. Data are supplied in ESRI float grid format, GCS GDA94 Geographic Coordinate System Geocentric Datum of Australia (GDA) 1994.

The following submission includes raw and processed data from the in water deployment of NREL's Hydraulic and Electric Reverse Osmosis Wave Energy Converter (HERO WEC), in the form of parquet files, TDMS files, CSV files, bag files and MATLAB workspaces. This dataset was collected in March 2024 at the Jennette's pier test site in North Carolina. This submission includes the following: Data description document (HERO WEC FY24 Hydraulic Deployment Data Descriptions.doc) - This document includes detailed descriptions of the type of data and how it was processed and/or calculated. Processed MATLAB workspace - The processed data is provided in the form of a single MATLAB workspace containing data from the full deployment. This workspace contains data from all sensors down sampled to 10 Hz along with all array Value Added Products (VAPs). MATLAB visualization scripts - The MATLAB workspaces can be visualized using the file "HERO_WEC_2024_Hydraulic_Config_Data_Viewer.m/mlx". The user simply needs to download the processed MATLAB workspaces, specify the desired start and end times and run this file. Both the .m and .mlx file format has been provided depending on the user's preference. Summary Data - The fully processed data was used to create a summary data set with averages and important calculations performed on 30-minute intervals to align with the intervals of wave resource data reported from nearby CDIP ocean observing buoys located 20km East of Jennette's pier and 40km Northeast of Jennette's pier. The wave resource data provided in this data set is to be used for reference only due the difference in water depth and proximity to shore between the Jennette's pier test site and the locations of the ocean observing buoys. This data is provided in the Summary Data zip folder, which includes this data set in the form of a MATLAB workspace, parquet file, and excel spreadsheet. Processed Parquet File - The processed data is provided in the form of a single parquet file containing data from all HERO WEC sensors collected during the full deployment. Data in these files has been down sampled to 10 Hz and all array VAPs are included. Interim Filtered Data - Raw data from each sensor group partitioned into 30-minute parquet files. These files are outputs from an intermediate stage of data processing and contain the raw data with no Quality Control (QC) or calculations performed in a format that is easier to use than the raw data. Raw Data - Raw, unprocessed data from this deployment can be found in the Raw Data zip folder. This data is provided in the form of TDMS, CSV, and bag files in the original format output by the MODAQ system. Python Data Processing Script - This links to an NREL public github repository containing the python script used to go from raw data to fully processed parquet files. Additional documentation on how to use this script is included in the github repository. This data set has been developed by the National Renewable Energy Laboratory, operated by Alliance for Sustainable Energy, LLC, for the U.S. Department of Energy (DOE) under Contract No. DE-AC36-08GO28308. Funding provided by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Water Power Technologies Office.

Excel sheets provide data, grouped in respective tabs, for Figs 1B and S1A; 1C; 2D; 2E; 3B and S2A; 3C and S2B; 4E and S1D; 5B and S3A; 5D and S3C; 5F and S3D; 6B and S5A; 6C and S5B; 8B and S6A; 8E and S6B; 8F and S6E; S4B; S4D; and S6C. (XLSX)

Background and objectivesAim of the current study was to assess the perception, preference, and practice of endodontists and restorative dentists at different locations around the world about dental magnification instruments.Materials and methodsA multicenter, cross-sectional study was ethically approved from the local committee of bioethics. After thorough literature search, a questionnaire was designed and validated. Later, the questionnaire was distributed to 10% (53 participants) of the total planned participants to conduct a pilot study. Based on the feedback from these participants, any ambiguities or discrepancies observed in the items and content of the questionnaire was modified. The questionnaire was assessed for its internal consistency as part of validating the items with Cronbach’s alpha of 0.80. The completed questionnaire with an informed consent form for the participant was administered to the endodontists and restorative dentists in three different geographical regions namely MENA (Middle East and Northern Africa), British-Isles, and Indian Sub-continent using WhatsApp through the snowball convenience sampling technique.ResultsMajority of the participants were male (56.5%) and in the age group of 25–35 years (30.3%). About 68.9% were from Indian sub-continent, followed by the British-Isles (16.5%) and the least (14.6%) were from the MENA region. By large, the participants of the present study, strongly agreed that dental magnification devices improved ergonomics, quality of work, and should be considered as standard of care in modern endodontic. Flip-up magnifiers (51.1%) and medium (8x-16x) magnification were preferred by majority of the participants. About 46.3% of specialist reported that they always used devices for all operative and endodontic procedures, especially while locating hidden and canals and negotiating calcified canals. Participants practicing in British-Isles have 2.42 times (P

Quantifying lithospheric strength is essential to better understand seismicity in continental regions. In the manuscript “Using Syntectonic Calcite Veins to Reconstruct the Strength Evolution of an Active Low‐Angle Normal Fault, Woodlark Rift, SE Papua New Guinea”, we estimate differential stresses and principal stress orientations that drive rapid slip on the active Mai’iu fault (dipping ~16-24° at the Earth’s surface) in Papua New Guinea. We compile stress-depth snapshots by taking advantage of space-for-time relationships provided by progressive slip localization within the cooling and exhuming footwall of the Mai’iu fault. Estimated differential stresses are based on the mechanical twinning and/or recrystallized grain-size of deformed calcite veins that cross-cut the sequentially formed fault rock units (mylonites, foliated cataclasites, ultracataclasites and gouges). The orientation of principal stresses acting on the fault zone are estimated using stress-inversion techniques on crystallographic data for calcite-twins collected by electron backscatter diffraction (EBSD), and on fault-slip data of late outcrop-scale brittle faults cross-cutting the footwall and hangingwall of the Mai’iu fault. The data repository provides the raw dataset used for the paleostress analyses in this study from which we derive the fault’s peak strength (140–185 MPa) and the integrated strength of the extending brittle crust. The raw dataset includes:

(1) Calcite E-Twin Analysis: 12 subfolders with EBSD data on the analyzed calcite veins (.cpr, .crc), overview maps (.jpeg) of all analyzed calcite grains, excel-sheets with orientation and twin morphology data on the analyzed calcite grains, and EBSD Euler conversion output files (_out.xlsx; see below); (2) Calcite Grain-Size Piezometer: 8 subfolders with EBSD data on the analyzed calcite veins (.cpr, .crc), multiple overview maps (.png) of the analyzed calcite veins, and grain-size histograms of the relict and recrystallized grains; (3) Calcite Paleostress Analysis: twinning data that was made analogous to fault-slip data (.fdt) and best-fit stress orientations as calculated by the multiple inverse method (.mi4); (4) EBSD Euler Conversion: MATLAB code to calculate slip plane (e-plane) and glide direction from calcite host-twin pairs and to transform EBSD acquired orientation data from a sample reference frame into a geographic system; (5) Mai'iu Fault Structural Data: an excel-sheet with all structural data collected in the Suckling-Dayman Metamorphic Core Complex during the field campaigns in 2014, 2015 and 2016 (includes sample locations, fault-slip data, bedding data of the Gwoira Conglomerates, etc…; version 7, date: 26.09.2016).

All geothermometric data and explanations on how to reproduce the estimated paleostresses (using the provided raw dataset) can be found in the main manuscript. This unique dataset provides insights into the strength and stress evolution of the Woodlark Rift, Papua New Guinea.

This dataset supports the findings presented in the manuscript titled "Overcoming Radiotherapy Resistance in Uveal Melanoma through MDM2 Inhibition". The research investigates the role of SAR405838, an MDM2 inhibitor, in reversing radiotherapy resistance in uveal melanoma (UM) cells by targeting the MDM2-p53 axis.Included Data:Raw Data:Cell viability assay (CCK-8) results in Excel format, comparing treated and untreated UM cells；Flow cytometry data (.fcs files) demonstrating apoptosis induction by SAR405838；Western Blot raw images showcasing MDM2 and p53 protein expression levels.Code and Analysis:R scripts for transcriptome sequencing differential gene expression and functional enrichment analysis；Data visualization scripts for generating heatmaps, volcano plots, and t-SNE clustering.Supporting Images:High-resolution microscopy and immunofluorescence images illustrating γ-H2AX expression.Transcriptome Sequencing:Differentially expressed gene tables and associated analysis results.Purpose and Relevance:This dataset provides insights into the molecular mechanisms underlying radiotherapy resistance in UM and demonstrates the therapeutic potential of MDM2 inhibitors in overcoming such resistance. It can be used by researchers working on targeted cancer therapies, radiotherapy optimization, or drug screening.How to Use:Researchers can replicate the analysis using the provided raw data and scripts. For further information or inquiries, please contact baiyidayian@jlu.edu.cn

Data presented represents kinematic and kinetic data collected from thirty-two participants (16 males and 16 females; mean ± SD age 21.3 ± 2.9 years; stature 1.70 ± 0.08 m; mass 69.9 ± 10.0 kg) during single-leg hopping while attached to an inclined lower body sled-based system (SBS). Experimental proceduresParticipants completed a familiarization session one week prior to initial testing to acquaint them with procedures (Day_0) [31]. Following this, participants underwent testing on four occasions. The first (Day_1), second (Day_2) and third (Day_3) testing bouts took place at the same time of day, spaced three to seven days apart [23,32]. On the final test day, participants completed procedures twice; at their typically scheduled time (Day_3) and six hours prior to or following their scheduled time (Day_3Offset). For each test, participants wore dark, tight-fitting clothing. Retro-reflective markers (14 mm) were placed at six anatomical locations on participants’ right side (acromion process, greater trochanter, lateral epicondyle of the femur, lateral malleolus, calcaneus and fifth metatarsal). Marker placement was conducted by the same tester throughout for consistency. During all test bouts (Day_0 – Day_3), participants completed two 10 second trials of single-leg hopping at each of 1.5, 2.2 and 3.0 Hz in time with a digital metronome (TempoPerfect Metronome, NCH Software, Greenwood Village, CO, USA) while secured within an SBS. The design of the SBS was described previously. As previous research suggests little effect of leg dominance on kleg or kjoint, participants were instructed to land as close as possible to the force plate center (AMTI OR6-5; AMTI, Watertown, MA, USA) in time with the metronome, using their right leg and natural hopping technique. Trials were accepted for analysis if participants hopped within ± 5% of the target frequency. The order of hopping trials was randomly assigned, and participants received 60 seconds recovery between each trial to limit fatigue effects. An analogue triggering device was used to initiate 3D kinematic and kinetic data acquisition simultaneously. Kinematic data were recorded using three MAC Eagle cameras (MotionAnalysis Corporation, Santa Rosa CA, USA) operating at 200 Hz. Kinetic data were recorded at 1 kHz over the 10 second duration. Data ProcessingAnalysis of data revealed an inconsistent delay in the initiation of kinematic and kinetic recordings. Fifth metatarsal vertical coordinate data were subsequently differentiated to jerk [36]. The time of peak jerk was determined, and kinematic data were subsequently aligned with the time at which the vertical force increased above 5 N.Marker trajectories were digitized using Cortex motion analysis software (version 2.1; MotionAnalysis Corporation, Santa Rosa, CA, USA). 3D kinematic and kinetic data were subsequently exported and analyzed using customized MS Excel macros. Recorded kinematic and kinetic data were concurrently filtered using a fourth-order Butterworth Low-Pass digital filter with an optimal cut-off of 11 Hz determined via residual analysis. 3D coordinate data were subsequently interpolated to 1 kHz using a cubic spline. Filtered kinematic and kinetic data were used to calculate resultant joint moments occurring about ankle (Mankle), knee (Mknee) and hip (Mhip) joints throughout the ground contact phase of each trial using inverse dynamics. Segment inertia and mass characteristics were determined using the standards of Dempster (1955). Having calculated resultant moments, average torsional stiffness of the ankle (kankle), knee (kknee) and hip (khip) were calculated as a ratio of changes in joint moment (ΔMjoint) and angle (Δϴjoint) for respective lower limb joints.In addition, kleg was recorded throughout the ground contact phase of all hopping trials using the spring-mass model. Thus kleg was calculated as the ratio of Fz max and maximum leg compression (ΔLegL) occurring during ground contact as measured from video records, where leg length represented the distance between the greater trochanter and the center-of-force. In all analyzed trials, the temporal occurrence of discrete events of Fz max and ΔLegL coincided to within 10% of the hop period.