8 datasets found
  1. f

    Data from: S1 Data -

    • plos.figshare.com
    xlsx
    Updated Jun 2, 2023
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    Opeyemi Abudiore; Ikechukwu Amamilo; Jennifer Campbell; Williams Eigege; Joseph Harwell; James Conroy; Justus Jiboye; Folu Lufadeju; Carolyn Amole; Owens Wiwa; Damien Anweh; Oche Ochai Agbaji; Alani Sulaimon Akanmu (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0284767.s001
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    xlsxAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Opeyemi Abudiore; Ikechukwu Amamilo; Jennifer Campbell; Williams Eigege; Joseph Harwell; James Conroy; Justus Jiboye; Folu Lufadeju; Carolyn Amole; Owens Wiwa; Damien Anweh; Oche Ochai Agbaji; Alani Sulaimon Akanmu
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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 (

  2. f

    T1 values for intraobserver reproducibility assessment; Excel data with...

    • plos.figshare.com
    xlsx
    Updated Jan 26, 2024
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    Sadahiro Nakagawa; Takahiro Uno; Shunta Ishitoya; Eriko Takabayashi; Akiko Oya; Wakako Kubota; Atsutaka Okizaki (2024). T1 values for intraobserver reproducibility assessment; Excel data with semiautomatic ROI placement by observer 1. [Dataset]. http://doi.org/10.1371/journal.pone.0297402.s008
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    xlsxAvailable download formats
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sadahiro Nakagawa; Takahiro Uno; Shunta Ishitoya; Eriko Takabayashi; Akiko Oya; Wakako Kubota; Atsutaka Okizaki
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  3. c

    HERO WEC 2024 Hydraulic Configuration Deployment Data

    • s.cnmilf.com
    • mhkdr.openei.org
    • +3more
    Updated Jan 11, 2025
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    National Renewable Energy Laboratory (2025). HERO WEC 2024 Hydraulic Configuration Deployment Data [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/hero-wec-2024-hydraulic-configuration-deployment-data-501bc
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    Dataset updated
    Jan 11, 2025
    Dataset provided by
    National Renewable Energy Laboratory
    Description

    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.

  4. f

    Excel spreadsheet containing, in separate sheets, the underlying numerical...

    • plos.figshare.com
    xlsx
    Updated Jun 21, 2023
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    Excel spreadsheet containing, in separate sheets, the underlying numerical data presented in the manuscript. [Dataset]. https://plos.figshare.com/articles/dataset/Excel_spreadsheet_containing_in_separate_sheets_the_underlying_numerical_data_presented_in_the_manuscript_/22368747
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    xlsxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS Pathogens
    Authors
    Elenia Toccafondi; Marine Kanja; Flore Winter; Daniela Lener; Matteo Negroni
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  5. o

    Dataset for Lopiccolo & Chang (2021)

    • osf.io
    Updated Aug 31, 2023
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    Dominique Lopiccolo; Charles B. Chang (2023). Dataset for Lopiccolo & Chang (2021) [Dataset]. http://doi.org/10.17605/OSF.IO/7RGF8
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    Dataset updated
    Aug 31, 2023
    Dataset provided by
    Center For Open Science
    Authors
    Dominique Lopiccolo; Charles B. Chang
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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.

  6. o

    Data from: Data for Observations of Contact Resistance in TOPCon and PERC...

    • ora.ox.ac.uk
    sheet
    Updated Jan 1, 2022
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    Liu, D; Wright, M; Goodarzi, M; Wilshaw, P R; Hamer, P; Bonilla, R S (2022). Data for Observations of Contact Resistance in TOPCon and PERC Solar Cells [Dataset]. https://ora.ox.ac.uk/objects/uuid:59cd51f6-c41d-47a8-a7e0-727038ee4e07
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    sheet(172288)Available download formats
    Dataset updated
    Jan 1, 2022
    Dataset provided by
    University of Oxford
    Authors
    Liu, D; Wright, M; Goodarzi, M; Wilshaw, P R; Hamer, P; Bonilla, R S
    License

    https://ora.ox.ac.uk/terms_of_usehttps://ora.ox.ac.uk/terms_of_use

    Description

    Data acquired for the publication of Observations of Contact Resistance in TOPCon and PERC Solar Cells Abstract – In this article we investigate the observation of increased contact resistance in both PERC and TOPCon solar cells linked to hydrogen dynamics at the interface. We study the changes in series resistance (RS) as a result of applied forward and reverse bias in the temperature range from 350 °C – 400 °C. In PERC cells, we use a modified geometry to isolate the root cause of the increased RS by isolating the current path through the different parts of the cell. We show that contact resistance in PERC cells occurs between the Ag contact and the n+ silicon region at the front surface. We also report the first observation of contact resistance in industrial n-type TOPCon solar cells. For both PERC and TOPCon cells, we show that the temperature of the measurement has a profound impact on the amount of contact resistance. However, the response of the two cell architectures under varied biasing conditions is not identical. TLM measurements reveal that in TOPCon cells the increased RS is caused by the Ag contact to the n+ polysilicon region, which, unlike in PERC cells, corresponds to the rear surface, away from the p-n junction. Recent results have shown that severe surface-related degradation in TOPCon solar cells can be mitigated by annealing treatments at temperatures similar to those explored herein. Therefore, identifying contact resistance in TOPCon cells may have a profound impact on further studies exploring degradation mitigation pathways in TOPCon cells.

    Data is provide in a tabulated MS Excel file. It was obtained via methods described in above publication.

  7. f

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

    • figshare.com
    xlsx
    Updated Sep 13, 2024
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    Jordan Jennings; Harrison Bracey; Jun Hong; Danny T. Nguyen; Rishav Dasgupta; Alondra Vázquez Rivera; Nicolas Sluis-Cremer; Jiong Shi; Christopher Aiken (2024). Excel file containing compiled primary experimental data subjected to statistical analyses. [Dataset]. http://doi.org/10.1371/journal.ppat.1011810.s002
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    xlsxAvailable download formats
    Dataset updated
    Sep 13, 2024
    Dataset provided by
    PLOS Pathogens
    Authors
    Jordan Jennings; Harrison Bracey; Jun Hong; Danny T. Nguyen; Rishav Dasgupta; Alondra Vázquez Rivera; Nicolas Sluis-Cremer; Jiong Shi; Christopher Aiken
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

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

  8. f

    Raw data in excel sheet.

    • plos.figshare.com
    xlsx
    Updated Jan 7, 2025
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    Azhar Iqbal; Mohmed Isaqali Karobari; Deepti Shrivastava; Kumar Chandan Srivastava; Bilal Arjumand; Hmoud Ali Algarni; Meshal Aber Alonazi; Muhsen Alnasser; Osama Khattak; Jamaluddin Syed; Reham Mohmad Attia; Asma Abubakar Rashed; Sherif El Sayed sultan (2025). Raw data in excel sheet. [Dataset]. http://doi.org/10.1371/journal.pone.0311391.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Azhar Iqbal; Mohmed Isaqali Karobari; Deepti Shrivastava; Kumar Chandan Srivastava; Bilal Arjumand; Hmoud Ali Algarni; Meshal Aber Alonazi; Muhsen Alnasser; Osama Khattak; Jamaluddin Syed; Reham Mohmad Attia; Asma Abubakar Rashed; Sherif El Sayed sultan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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

  9. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Opeyemi Abudiore; Ikechukwu Amamilo; Jennifer Campbell; Williams Eigege; Joseph Harwell; James Conroy; Justus Jiboye; Folu Lufadeju; Carolyn Amole; Owens Wiwa; Damien Anweh; Oche Ochai Agbaji; Alani Sulaimon Akanmu (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0284767.s001

Data from: S1 Data -

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Jun 2, 2023
Dataset provided by
PLOS ONE
Authors
Opeyemi Abudiore; Ikechukwu Amamilo; Jennifer Campbell; Williams Eigege; Joseph Harwell; James Conroy; Justus Jiboye; Folu Lufadeju; Carolyn Amole; Owens Wiwa; Damien Anweh; Oche Ochai Agbaji; Alani Sulaimon Akanmu
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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 (

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