19 datasets found
  1. g

    United States Climate Reference Network (USCRN) Standardized Soil Moisture...

    • gimi9.com
    • ncei.noaa.gov
    • +1more
    Updated Jan 5, 2024
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    (2024). United States Climate Reference Network (USCRN) Standardized Soil Moisture and Soil Moisture Climatology [Dataset]. https://gimi9.com/dataset/data-gov_3d55b6e0846b369e9574d90c4acb0951416c7ac0
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    Dataset updated
    Jan 5, 2024
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    The U.S. Climate Reference Network (USCRN) was designed to monitor the climate of the United States using research quality instrumentation located within representative pristine environments. This Standardized Soil Moisture (SSM) and Soil Moisture Climatology (SMC) product set is derived using the soil moisture observations from the USCRN. The hourly soil moisture anomaly (SMANOM) is derived by subtracting the MEDIAN from the soil moisture volumetric water content (SMVWC) and dividing the difference by the interquartile range (IQR = 75th percentile - 25th percentile) for that hour: SMANOM = (SMVWC - MEDIAN) / (IQR). The soil moisture percentile (SMPERC) is derived by taking all the values that were used to create the empirical cumulative distribution function (ECDF) that yielded the hourly MEDIAN and adding the current observation to the set, recalculating the ECDF, and determining the percentile value of the current observation. Finally, the soil temperature for the individual layers is provided for the dataset user convenience. The SMC files contain the MEAN, MEDIAN, IQR, and decimal fraction of available data that are valid for each hour of the year at 5, 10, 20, 50, and 100 cm depth soil layers as well as for a top soil layer (TOP) and column soil layer (COLUMN). The TOP layer consists of an average of the 5 and 10 cm depths, while the COLUMN layer includes all available depths at a location, either two layers or five layers depending on soil depth. The SSM files contain the mean VWC, SMANOM, SMPERC, and TEMPERATURE for each of the depth layers described above. File names are structured as CRNSSM0101-STATIONNAME.csv and CRNSMC0101-STATIONNAME.csv. SSM stands for Standardized Soil Moisture and SCM represent Soil Moisture Climatology. The first two digits of the trailing integer indicate major version and the second two digits minor version of the product.

  2. f

    Data from: S1 Dataset -

    • figshare.com
    • plos.figshare.com
    bin
    Updated Jan 16, 2025
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    Yael Appelboom; Yvonne Groenen; Dirk Notten; Anique De Bruin; Jacqueline Buijs; Harm R. Haak; Hella F. Broggreve; Lars Lambriks; Patricia M. Stassen (2025). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0314052.s001
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    binAvailable download formats
    Dataset updated
    Jan 16, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Yael Appelboom; Yvonne Groenen; Dirk Notten; Anique De Bruin; Jacqueline Buijs; Harm R. Haak; Hella F. Broggreve; Lars Lambriks; Patricia M. Stassen
    License

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

    Description

    Background and importanceThe emergency department (ED) is a hectic place, where many critically ill patients are treated. For residents working in the ED, this environment may be demanding.ObjectivesThe aim of this study was to investigate the [1] cognitive load experienced by residents working in the ED, and [2] differences in cognitive load during the day.MethodsIn this multicentre, prospective study in three EDs in the Netherlands, the experienced cognitive load was graded by residents on three scales, agreed upon during Delphi meetings: the complexity (low-high: 1–3), mental effort (low-high: 1–9) and comfortability scale (low-high: 0–100%). We applied the scores per decision, 1-hour and 2-hour intervals, patient and shift.Main resultsWe observed 14 residents and analysed 74 1-hour and 45 2-hour intervals, 79 patients, 24 shifts and 592 separate decisions. The experienced cognitive load per decision was low. In contrast, the cognitive load was higher per 2-hour interval (mental effort: median 4.0 (IQR 4.0) and comfortability 80% (IQR 20)) and per shift (mental effort: median 5.5 (IQR 4.0) and comfortability 80% (IQR 20). Complexity was low for all measurements. Mental effort rose from 17h onwards higher values, whereas a decrease in comfortability was seen from 21h onwards.ConclusionFrom 17h onwards, residents working in the ED experienced rather high mental effort and reported feeling not optimally comfortable when making decisions. The mental effort was highest between 21-23h. This was found when cognitive load was measured per 2-hour interval and per shift, but not per decision. This study may provide an insights to optimise cognitive load by reorganisation of the ED.

  3. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xls
    Updated Oct 24, 2024
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    Sina Ramtin; Dayal Rajagopalan; David Ring; Tom Crijns; Prakash Jayakumar (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0310119.s001
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    xlsAvailable download formats
    Dataset updated
    Oct 24, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Sina Ramtin; Dayal Rajagopalan; David Ring; Tom Crijns; Prakash Jayakumar
    License

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

    Description

    BackgroundEvidence is mounting that the biopsychosocial paradigm is more accurate and useful than the biomedical paradigm of care. Habits of thought can hinder the implementation of this knowledge into daily care strategies. To understand and lessen these potential barriers, we asked: 1) What is the relative implicit and explicit attitudes of musculoskeletal surgeons towards the biomedical or biopsychosocial paradigms of medicine? 2) What surgeon factors are associated with these attitudes?MethodsAn online survey-based experiment was distributed to members of the Science of Variation Group (SOVG) with a total of 163 respondents. Implicit bias towards the biomedical or biopsychosocial paradigms was measured using an Implicit Association Test (IAT) designed by our team using open-source software; explicit preferences were measured using ordinal scales.ResultsOn average, surgeons demonstrated a moderate implicit bias towards the biomedical paradigm (d-score: -0.21; Interquartile range [IQR]: -0.56 to 0.19) and a moderate explicit preference towards the biopsychosocial paradigm (mean: 14; standard deviation: 14). A greater implicit bias towards the biomedical paradigm was associated with male surgeons (d-score: -0.30; IQR: -0.57 to 0.14; P = 0.005). A greater explicit preference towards the biomedical paradigm was independently associated with a European practice location (Regression coefficient: -9.1; 95% CI: -14 to -4.4; P

  4. f

    Data from: Minimal dataset.

    • plos.figshare.com
    xlsx
    Updated Sep 6, 2024
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    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga (2024). Minimal dataset. [Dataset]. http://doi.org/10.1371/journal.pone.0308869.s002
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    xlsxAvailable download formats
    Dataset updated
    Sep 6, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Emmanuel L. Luwaya; Lackson Mwape; Kaole Bwalya; Chileleko Siakabanze; Benson M. Hamooya; Sepiso K. Masenga
    License

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

    Description

    BackgroundAn increase in the prevalence of HIV drug resistance (HIVDR) has been reported in recent years, especially in persons on non-nucleoside reverse transcriptase inhibitors (NNRTIs) due to their low genetic barrier to mutations. However, there is a paucity of epidemiological data quantifying HIVDR in the era of new drugs like dolutegravir (DTG) in sub-Saharan Africa. We, therefore, sought to determine the prevalence and correlates of viral load (VL) suppression in adult people with HIV (PWH) on a fixed-dose combination of tenofovir disoproxil fumarate/lamivudine/dolutegravir (TLD) or tenofovir alafenamide/emtricitabine/dolutegravir (TAFED) and describe patterns of mutations in individuals failing treatment.MethodsWe conducted a cross-sectional study among 384 adults living with HIV aged ≥15 years between 5th June 2023 and 10th August 2023. Demographic, laboratory and clinical data were collected from electronic health records using a data collection form. Viral load suppression was defined as plasma HIV-1 RNA VL of

  5. f

    Data from: S1 Dataset -

    • plos.figshare.com
    bin
    Updated Aug 7, 2023
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    Winnie Kibone; Felix Bongomin; Jerom Okot; Angel Lisa Nansubuga; Lincoln Abraham Tentena; Edbert Bagasha Nuwamanya; Titus Winyi; Whitney Balirwa; Sarah Kiguli; Joseph Baruch Baluku; Anthony Makhoba; Mark Kaddumukasa (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0289546.s001
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    binAvailable download formats
    Dataset updated
    Aug 7, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Winnie Kibone; Felix Bongomin; Jerom Okot; Angel Lisa Nansubuga; Lincoln Abraham Tentena; Edbert Bagasha Nuwamanya; Titus Winyi; Whitney Balirwa; Sarah Kiguli; Joseph Baruch Baluku; Anthony Makhoba; Mark Kaddumukasa
    License

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

    Description

    BackgroundRheumatic and musculoskeletal disorders (RMDs) are associated with cardiovascular diseases (CVDs), with hypertension being the most common. We aimed to determine the prevalence of high blood pressure (HBP), awareness, treatment, and blood pressure control among patients with RMDs seen in a Rheumatology clinic in Uganda.MethodsWe conducted a cross-sectional study at the Rheumatology Clinic of Mulago National Referral Hospital (MNRH), Kampala, Uganda. Socio-demographic, clinical characteristics and anthropometric data were collected. Multivariable logistic regression was performed using STATA 16 to determine factors associated with HBP in patients with RMDs.ResultsA total of 100 participants were enrolled. Of these, majority were female (84%, n = 84) with mean age of 52.1 (standard deviation: 13.8) years and median body mass index of 28 kg/m2 (interquartile range (IQR): 24.8 kg/m2–32.9 kg/m2). The prevalence of HBP was 61% (n = 61, 95% CI: 51.5–70.5), with the majority (77%, n = 47, 95% CI: 66.5–87.6) being aware they had HTN. The prevalence of HTN was 47% (n = 47, 37.2–56.8), and none had it under control. Factors independently associated with HBP were age 46-55years (adjusted prevalence ratio (aPR): 2.5, 95% confidence interval (CI): 1.06–5.95), 56–65 years (aPR: 2.6, 95% CI: 1.09–6.15), >65 years (aPR: 2.5, 95% CI: 1.02–6.00), obesity (aPR: 3.7, 95% CI: 1.79–7.52), overweight (aPR: 2.7, 95% CI: 1.29–5.77).ConclusionThere was a high burden of HBP among people with RMDs in Uganda with poor blood pressure control, associated with high BMI and increasing age. There is a need for further assessment of the RMD specific drivers of HBP and meticulous follow up of patients with RMDs.

  6. d

    Data from: Testing adaptive hypotheses on the evolution of larval life...

    • datadryad.org
    • data.niaid.nih.gov
    • +1more
    zip
    Updated Oct 15, 2019
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    Christine Ewers-Saucedo; Paula Pappalardo (2019). Testing adaptive hypotheses on the evolution of larval life history in acorn and stalked barnacles [Dataset]. http://doi.org/10.5061/dryad.s8800t9
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    zipAvailable download formats
    Dataset updated
    Oct 15, 2019
    Dataset provided by
    Dryad
    Authors
    Christine Ewers-Saucedo; Paula Pappalardo
    Time period covered
    2019
    Area covered
    global
    Description

    Larval life history traits and geographic distribution for each thoracican barnacle species used in the study

    The table "finalmergeddata.csv" contains life history and enironmental data as well as the calculated variance (IQR = interquartile range, se = standard error) summarized per species. The table "lifehistory.xls" contains the species-specific larval life history data we extracted from the literature. The first tab, "Taxonomy + larval mode" has one row per species. The taxonomy is taken from WoRMS (www.marinespecies.org). The following two tabs contain information on other larval traits and the known geographic distribution of the barnacle species. In these tabs, each species can occur several times, as we chose to give each reference a separate row. The references are detailed in the datatable_references file. The meaning of all columns is explained in the last tab "METADATA". Detailed references for the data sources are available in the last tab "Data sourc...

  7. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xls
    Updated Sep 27, 2023
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    Teddy Apako; Solomon Wani; Faith Oguttu; Brendah Nambozo; Doreck Nahurira; Ritah Nantale; Assen Kamwesigye; Julius Wandabwa; Stephen Obbo; Kenneth Mugabe; David Mukunya; Milton W. Musaba (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0291953.s002
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    xlsAvailable download formats
    Dataset updated
    Sep 27, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Teddy Apako; Solomon Wani; Faith Oguttu; Brendah Nambozo; Doreck Nahurira; Ritah Nantale; Assen Kamwesigye; Julius Wandabwa; Stephen Obbo; Kenneth Mugabe; David Mukunya; Milton W. Musaba
    License

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

    Description

    IntroductionThe decision to delivery interval is a key indicator of the quality of obstetric care. This study assessed the decision to delivery interval for emergency cesarean sections and factors associated with delay.MethodsWe conducted a cross-sectional study between October 2022 and December 2022 in the labor ward at Mbale regional referral hospital. Our primary outcome variable was the decision to delivery interval defined as the time interval in minutes from the decision to perform the emergency caesarean section to delivery of the baby. We used an observer checklist and interviewer administered questionnaire to collect data. Stata version 14.0 (StataCorp; College Station, TX, USA) was used to analyze the data.ResultsWe enrolled 352 participants; the mean age was 25.9 years and standard deviation (SD) ±5.9 years. The median (interquartile range) decision to delivery interval was 110 minutes (80 to 145). Only 7/352 (2.0%) participants had a decision to delivery time interval of ≤30 minutes. More than three quarters 281 /352 (79.8%) had a decision to delivery interval of greater than 75 minutes. Emergency cesarean section done by intern doctors compared to specialists [Adjusted Prevalence Ratio (aPR): 1.26; 95% CI: (1.09–1.45)] was associated with a prolonged decision to delivery interval.ConclusionThe average decision to delivery interval was almost 2 hours. Delays were mostly due to health system challenges. We recommend routine monitoring of decision to delivery interval as an indicator of the quality of obstetric care.

  8. Dataset related to article "Association between cardiac troponin I and...

    • zenodo.org
    • data.niaid.nih.gov
    Updated Apr 28, 2021
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    Michela Salvatici; Barbara Barbieri; Sara Maria Giulia Cioffi; Emanuela Morenghi; Francesco Paolo Leone; Federica Maura; Giuseppe Moriello; Maria Teresa Sandri; Michela Salvatici; Barbara Barbieri; Sara Maria Giulia Cioffi; Emanuela Morenghi; Francesco Paolo Leone; Federica Maura; Giuseppe Moriello; Maria Teresa Sandri (2021). Dataset related to article "Association between cardiac troponin I and mortality in patients with COVID-19 " [Dataset]. http://doi.org/10.5281/zenodo.4723491
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    Dataset updated
    Apr 28, 2021
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Michela Salvatici; Barbara Barbieri; Sara Maria Giulia Cioffi; Emanuela Morenghi; Francesco Paolo Leone; Federica Maura; Giuseppe Moriello; Maria Teresa Sandri; Michela Salvatici; Barbara Barbieri; Sara Maria Giulia Cioffi; Emanuela Morenghi; Francesco Paolo Leone; Federica Maura; Giuseppe Moriello; Maria Teresa Sandri
    Description

    Background: Severe pneumonia is pathological manifestation of Coronavirus Disease 2019 (COVID-19), however complications have been reported in COVID-19 patients with a worst prognosis. Aim of this study was to evaluate the role of high sensitivity cardiac troponin I (hs-TnI) in patients with SARS-CoV-2 infection.

    Methods: we retrospectively analysed hs-TnI values measured in 523 patients (median age 64 years, 68% men) admitted to a university hospital in Milan, Italy, and diagnosed COVID-19.

    Results: A significant difference in hs-TnI concentrations was found between deceased patients (98 patients) vs discharged (425 patients) [36.05 ng/L IQR 16.5-94.9 vs 6.3 ng/L IQR 2.6-13.9, p < 0.001 respectively]. Hs-TnI measurements were independent predictors of mortality at multivariate analysis adjusted for confounding parameters such as age (HR 1.004 for each 10 point of troponin, 95% CI 1.002-1.006, p < 0.001). The survival rate, after one week, in patients with hs-TnI values under 6 ng/L was 97.94%, between 6 ng/L and the normal value was 90.87%, between the normal value and 40 ng/L was 86.98, and 59.27% over 40 ng/L.

    Conclusion: Increase of hs-TnI associated with elevated mortality in patients with COVID-19. Troponin shows to be a useful biomarker of disease progression and worse prognosis in COVID-19 patients.

  9. Z

    Data from: Predicting classifier performance with limited training data:...

    • data.niaid.nih.gov
    • zenodo.org
    • +1more
    Updated May 31, 2022
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    Viswanath, Satish (2022). Data from: Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_4978441
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    Dataset updated
    May 31, 2022
    Dataset provided by
    Basavanhally, Ajay
    Madabhushi, Anant
    Viswanath, Satish
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Clinical trials increasingly employ medical imaging data in conjunction with supervised classifiers, where the latter require large amounts of training data to accurately model the system. Yet, a classifier selected at the start of the trial based on smaller and more accessible datasets may yield inaccurate and unstable classification performance. In this paper, we aim to address two common concerns in classifier selection for clinical trials: (1) predicting expected classifier performance for large datasets based on error rates calculated from smaller datasets and (2) the selection of appropriate classifiers based on expected performance for larger datasets. We present a framework for comparative evaluation of classifiers using only limited amounts of training data by using random repeated sampling (RRS) in conjunction with a cross-validation sampling strategy. Extrapolated error rates are subsequently validated via comparison with leave-one-out cross-validation performed on a larger dataset. The ability to predict error rates as dataset size increases is demonstrated on both synthetic data as well as three different computational imaging tasks: detecting cancerous image regions in prostate histopathology, differentiating high and low grade cancer in breast histopathology, and detecting cancerous metavoxels in prostate magnetic resonance spectroscopy. For each task, the relationships between 3 distinct classifiers (k-nearest neighbor, naive Bayes, Support Vector Machine) are explored. Further quantitative evaluation in terms of interquartile range (IQR) suggests that our approach consistently yields error rates with lower variability (mean IQRs of 0.0070, 0.0127, and 0.0140) than a traditional RRS approach (mean IQRs of 0.0297, 0.0779, and 0.305) that does not employ cross-validation sampling for all three datasets.

  10. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xls
    Updated Aug 29, 2024
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    Dumisani Mfipa; Precious L. Hajison; Felistas Mpachika-Mfipa (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0291585.s001
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    xlsAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Dumisani Mfipa; Precious L. Hajison; Felistas Mpachika-Mfipa
    License

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

    Description

    BackgroundBirthweight has an impact on newborn’s future health outcomes. Maternal factors, including age, delivery mode, HIV status, gestational age, parity and obstetric complications (preeclampsia or eclampsia [PE], antepartum hemorrhage [APH] and sepsis), however, have been shown as risk factors of low birthweight (LBW) elsewhere. For data-guided interventions, we aimed to identify predictors of LBW and compare newborn birthweights between different groups of maternal factors at Rev. John Chilembwe Hospital in Phalombe district, Malawi.MethodsUsing a retrospective record review study design, we extracted data from maternity registers of 1244 women and their newborns from October, 2022 to March, 2023. Data were skewed. Median test was used to compare median birthweights. Chi-square or Fisher’s exact tests were used to compare proportions of LBW among different groups of maternal factors. Multivariable logistic regression with stepwise, forward likelihood method was performed to identify predictors of LBW.ResultsMedian birthweight was 2900.00g (interquartile range [IQR]: 2600.00g to 3200.00g). Prevalence of LBW was 16.7% (n = 208). Proportions of LBW infants were higher in women with PE, APH, including women with sepsis than controls (10 [47.6%] of 21 vs 7 [58.3%] of 12 vs 191 [15.8%] of 1211, p < .001). Lower in term and postterm than preterm (46 [5.5%] of 835 vs 2 [3.7%] of 54 vs 160 [45.1%] of 355, p < .001). The odds of LBW infants were higher in preterm than term (AOR = 13.76, 95%CI: 9.54 to 19.84, p < .001), women with PE (AOR = 3.88, 95%CI: 1.35 to 11.18, p = .012), APH, including women with sepsis (AOR = 6.25, 95%CI: 1.50 to 26.11, p = .012) than controls.ConclusionPrevalence of LBW was high. Its predictors were prematurity, PE, APH and sepsis. Interventions aimed to prevent these risk factors should be prioritized to improve birthweight outcomes.

  11. Dataset MTX - Eryfolate.csv

    • figshare.com
    txt
    Updated Jan 2, 2021
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    Natanja Oosterom (2021). Dataset MTX - Eryfolate.csv [Dataset]. http://doi.org/10.6084/m9.figshare.12909395.v1
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    txtAvailable download formats
    Dataset updated
    Jan 2, 2021
    Dataset provided by
    figshare
    Authors
    Natanja Oosterom
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is a dataset of 43 pediatric acute lymphoblastic leukemia patients in which we analysed consecutive methotrexate and folate levels. Background After High-Dose Methotrexate (HD-MTX), folinic acid rescue therapy (Leucovorin) is administered to reduce side effects in pediatric acute lymphoblastic leukemia (ALL) patients. Leucovorin and MTX are structural analogues, possibly competing for cellular transport and intracellular metabolism. We hypothesize that Leucovorin accumulates during consecutive courses, which might result in a lower MTX uptake.

    Methods We prospectively measured red blood cell (RBC) folate and MTX levels during four HD-MTX and Leucovorin courses in 43 patients treated according the DCOG ALL-11 protocol with 2-weekly HD-MTX (5 g/m2/dose) and Leucovorin (15 mg/m2/dose) using LC-MS/MS. We estimated a linear mixed model to assess the relationship between these variables over time.

    Results Both RBC MTX-PG and folate levels increased significantly during protocol M. MTX-PG2-5 levels increased most substantially after the first two HD-MTX courses (until median 113.0 nmol/L, IQR 76.8-165.2) after which levels plateaued during the 3d and 4th course (until median 141.3 nmol/L, IQR 100.2-190.2). In parallel, folate levels increased most substantially after the first two HD-MTX courses (until median 401.6 nmol/L, IQR 163.3-594.2) after which levels plateaued during the 3d and 4th course (until median 411.5 nmol/L, IQR 240.3-665.6). The ratio folate/MTX-PG decreased significantly over time, which was mostly due to the relatively higher increase (delta) of MTX-PG.

    Conclusion These results suggest that the increase in RBC folate levels does not seem to have a large effect on RBC MTX levels. Future studies, assessing competition of Leucovorin and MTX on other cellular mechanisms which might negatively affect treatment efficacy, are necessary.

  12. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xlsx
    Updated Nov 25, 2024
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    Alexander Adjei; Kennedy Tettey Coffie Brightson; Michael Matey Mensah; Jemima Osei; Moses Drah; Clement Tetteh Narh; Kwabena Asare; Francis Anto (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0308046.s001
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    xlsxAvailable download formats
    Dataset updated
    Nov 25, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Alexander Adjei; Kennedy Tettey Coffie Brightson; Michael Matey Mensah; Jemima Osei; Moses Drah; Clement Tetteh Narh; Kwabena Asare; Francis Anto
    License

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

    Description

    BackgroundDiabetes mellitus is a growing public health emergency with prevalence in sub-Sahara Africa expected to experience the highest increase by 2045. Glycemic control is central to diabetes management, but it is influenced by various factors. This study determines the level of glycemic control and the associated individual factors among type 2 diabetes mellitus (T2DM) patients.MethodsA cross-sectional descriptive study was conducted at the Shai-Osudoku District Hospital from 9th November to 15th December 2022. A structured questionnaire was used to collect data on socio-demographic characteristics, lifestyle modifications, co-morbidities, adherence to medication and diet regimens and duration of diabetes. Anthropometric and glycated hemoglobin (HbA1c) measurements were taken. Chi-squared and multivariate logistic regression analyses were carried out to determine factors associated with glycemic control at 95% confidence levels.ResultsA total of 227 patients participated in this study. The majority of the participants were females (77.97%) and the mean (+SD) age was 60.76 + 12.12 years. Good glycemic control (HbA1c < 7%) among the participants was 38.77% (n = 88) and the median HbA1c was 7.5% (IQR: 6.5% to 9.4%). Significant factors associated with good glycemic control were eating healthy meals (AOR: 4.78, 95% CI: 1.65, 13.88: p = 0.004), oral hypoglycemic agents alone (AOR: 15.71, 95% CI: 1.90, 129.44: p = 0.010) and those with previously good glycemic control (AOR: 4.27, 95% CI: 2.16, 8.43:

  13. Scenario 1: Median (interquartile range) of the estimated values of η and p...

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    K. C. Flórez; A. Corberán-Vallet; A. Iftimi; J. D. Bermúdez (2023). Scenario 1: Median (interquartile range) of the estimated values of η and p when we assume k = 3. [Dataset]. http://doi.org/10.1371/journal.pone.0231935.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    K. C. Flórez; A. Corberán-Vallet; A. Iftimi; J. D. Bermúdez
    License

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

    Description

    True values are η = (0.5, 1.0, 3.5) and p = (0.2, 0.3, 0.5).

  14. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xlsx
    Updated Mar 11, 2024
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    Paul Chabala Kaumba; Daniel Siameka; Mary Kagujje; Chalilwe Chungu; Sarah Nyangu; Nsala Sanjase; Minyoi Mubita Maimbolwa; Brian Shuma; Lophina Chilukutu; Monde Muyoyeta (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0287876.s001
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    xlsxAvailable download formats
    Dataset updated
    Mar 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Paul Chabala Kaumba; Daniel Siameka; Mary Kagujje; Chalilwe Chungu; Sarah Nyangu; Nsala Sanjase; Minyoi Mubita Maimbolwa; Brian Shuma; Lophina Chilukutu; Monde Muyoyeta
    License

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

    Description

    BackgroundZambia is among the 30 high-burden countries for tuberculosis (TB), Human Immunodeficiency Virus (HIV)-associated TB, and multi-drug resistant/rifampicin resistant TB with over 5000 children developing TB every year. However, at least 32% of the estimated children remain undiagnosed. We assessed healthcare workers’ (HCWs) knowledge, attitudes, and practices (KAP) towards childhood TB and the factors associated with good KAP towards childhood TB.MethodsData was collected at two primary healthcare facilities in Lusaka, Zambia from July to August 2020. Structured questionnaires were administered to HCWs that were selected through stratified random sampling. Descriptive analysis was done to determine KAP. A maximum knowledge, attitude, and practice scores for a participant were 44, 10, and 8 points respectively. The categorization as either “poor” or “good” KAP was determined based on the mean/ median. Logistic regression analysis was performed to assess the associations between participant characteristics and KAP at statistically significant level of 0.05%.ResultsAmong the 237 respondents, majority were under 30 years old (63.7%) and were female (72.6%). Half of the participants (50.6%) were from the outpatient department (OPD) and antiretroviral therapy (ART) clinic, 109 (46.0) had been working at the facility for less than 1 year, 134 (56.5%) reported no previous training in TB. The median/mean KAP scores were 28 (IQR 24.0–31.0), 7 (IQR = 6.0–8.0) and 5 points (SD = 1.9) respectively. Of the participants, 43.5% (103/237) had good knowledge, 48.1% (114/237) had a good attitude, and 54.4% (129/237) had good practice scores on childhood TB. In the multivariate analysis, clinical officers and individuals with 1–5 years’ work experience at the facility had higher odds, 2.61 (95% CI = 1.18–5.80, p = 0.018) and 3.09 (95% CI = 1.69–5.65, p = 0.001) of having good attitude respectively, and medical doctors had 0.17 lower odds (95% CI = 0.18–5.80, p = 0.018) of good childhood TB practice. Other participant characteristics didn’t show a significant association with the scores.ConclusionThe study found suboptimal levels of knowledge, attitude, and practices regarding childhood TB among HCWs. Targeted programmatic support needs to be provided to address the above gaps.

  15. f

    Data from: S1 Dataset -

    • plos.figshare.com
    bin
    Updated May 31, 2024
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    Muluye Abebe; Abay Atnafu; Melaku Tilahun; Nejmia Sero; Sebisib Neway; Mekdes Alemu; Getachew Tesfaye; Adane Mihret; Kidist Bobosha; Chengsong Wan (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0304507.s001
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    binAvailable download formats
    Dataset updated
    May 31, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Muluye Abebe; Abay Atnafu; Melaku Tilahun; Nejmia Sero; Sebisib Neway; Mekdes Alemu; Getachew Tesfaye; Adane Mihret; Kidist Bobosha; Chengsong Wan
    License

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

    Description

    IntroductionThe treatment response of multi-drug resistance tuberculosis (MDR-Tuberculosis) patients is mainly dictated by the sputum culture conversion. An earlier culture conversion is a remarkable indicator of the improvement in the treatment response. In this study, we aimed to determine the time to culture conversion and its associated factors among MDR-Tuberculosis patients in All Africa Leprosy, Tuberculosis and Rehabilitation Training Center (ALERT) Hospital, Addis Ababa, Ethiopia.MethodsA retrospective cohort study was conducted on 120 MDR-Tuberculosis patients attending ALERT Hospital from 2018–2022. Kaplan-Meier methods were used to determine the time to initial sputum culture conversion. All relevant laboratory, socio-demographic characteristics, and other clinical data were collected by chart abstraction using a structure data extraction form. The log-rank test was used to determine the survival rate. To identify the predictors of culture conversion, bivariate and multivariate Cox proportional hazard regression analysis was used. The hazard ratio (HR) with a 95% confidence interval was used to estimate the effect of each variable on the initial culture conversion. A test with a P value of < 0.05 was considered statistically significant.ResultsFrom the total of 120 study participants, 89.2% (107/120) have shown a successful culture conversion. The median age of the participants was 30 years (IQR = 12). The study participants were followed for 408.6 person-months (34.05 person-years). The median time to initial sputum culture conversion was 80 days. The median time to initial sputum culture conversion among HIV-positive and HIV-negative participants was 61 days (IQR = 58–63.5) and 88 days (IQR = 75–91), respectively. HIV-negative and patients with previous treatment history were shown to be the predictor for a prolonged time to initial sputum culture conversion, (aHR = 0.24 (95% CI: 0.1–0.4), P value

  16. f

    Data from: S1 Dataset -

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    xls
    Updated Oct 12, 2023
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    Alo Edin Huka; Lemessa Oljira; Adisu Birhanu Weldesenbet; Abdulmalik Abdela Bushra; Ibsa Abdusemed Ahmed; Abera Kenay Tura; Angefa Ayele Tuluka (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0283143.s001
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    Dataset updated
    Oct 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Alo Edin Huka; Lemessa Oljira; Adisu Birhanu Weldesenbet; Abdulmalik Abdela Bushra; Ibsa Abdusemed Ahmed; Abera Kenay Tura; Angefa Ayele Tuluka
    License

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

    Description

    BackgroundAlthough the survival of preterm neonates has improved, thanks to advanced and specialized neonatal intensive care, it remains the main reason for neonatal admission, death, and risk of lifelong complication. In this study, we assessed time to death and its predictors among preterm neonates admitted to neonatal intensive care units (NICU) at public hospitals in southern Ethiopia.MethodsA hospital based retrospective cohort was conducted among preterm neonates admitted to NICU at public hospitals in west Guji and Borena zones, Oromia National Regional State, southern Ethiopia. Simple random sampling technique was used to select records of preterm neonates admitted to both major hospitals in the study area. Data on neonatal condition, obstetric information, and status at discharge were collected from admission to discharge by trained research assistant through review of their medical records. Kaplan Meir curve and Log rank test were used to estimate the survival time and compare survival curves between variables. Cox-Proportional Hazards model was used to identify significant predictors of time to death at p

  17. f

    Sociodemographic and clinical characteristics of children with diarrhea,...

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    • plos.figshare.com
    xls
    Updated Sep 26, 2023
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    Adilson Fernando Loforte Bauhofer; Júlia Sambo; Jorfélia J. Chilaúle; Carolina Conjo; Benilde Munlela; Assucênio Chissaque; Telma Isaías; Marlene Djedje; Nilsa de Deus (2023). Sociodemographic and clinical characteristics of children with diarrhea, January 2015 to December 2019. [Dataset]. http://doi.org/10.1371/journal.pone.0292093.t001
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    Dataset updated
    Sep 26, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Adilson Fernando Loforte Bauhofer; Júlia Sambo; Jorfélia J. Chilaúle; Carolina Conjo; Benilde Munlela; Assucênio Chissaque; Telma Isaías; Marlene Djedje; Nilsa de Deus
    License

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

    Description

    Sociodemographic and clinical characteristics of children with diarrhea, January 2015 to December 2019.

  18. f

    Data from: S1 Dataset -

    • plos.figshare.com
    xlsx
    Updated Nov 11, 2024
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    Lackson Mwape; Benson M. Hamooya; Emmanuel L. Luwaya; Danny Muzata; Kaole Bwalya; Chileleko Siakabanze; Agness Mushabati; Sepiso K. Masenga (2024). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0313484.s002
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    Dataset updated
    Nov 11, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Lackson Mwape; Benson M. Hamooya; Emmanuel L. Luwaya; Danny Muzata; Kaole Bwalya; Chileleko Siakabanze; Agness Mushabati; Sepiso K. Masenga
    License

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

    Description

    BackgroundHypertension is a risk factor for cardiovascular events. Inflammation plays an important role in the development of essential hypertension. Studies assessing the association between complete blood count-based inflammatory scores (CBCIS) and hypertension are scarce. Therefore, this study aimed to determine the relationship between CBCIS and hypertension among individuals with and without human immunodeficiency virus (HIV).MethodThis was a cross-sectional study among 344 participants at Serenje District Hospital and Serenje Urban Clinic. We used structured questionnaires to collect sociodemographic, clinical and laboratory characteristics. CBCIS included lymphocyte-monocyte ratio (LMR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), derived neutrophil-lymphocyte ratio (d-NLR), and differential white blood cells. The primary outcome variable was hypertension defined as systolic and diastolic blood pressure higher than or equal to 140/90 mmHg. Logistic regression was used to estimate the association between hypertension and CBCIS in statistical package for social science (SPSS) version 22.0.ResultsThe participants had a median age of 32 years (interquartile range (IQR) 24–42) and 65.1% (n = 224) were female. The prevalence of hypertension was 10.5% (n = 36). Among those with hypertension, 55.6% (n = 20) were female and 44.4% (n = 16) were male. The CBCIS significantly associated with hypertension in people living with HIV (PLWH) was PLR (adjusted odds ratio (AOR) 0.98; 95% confidence interval (CI) 0.97–0.99, p = 0.01) while in people without HIV, AMC (AOR 15.40 95%CI 3.75–63.26), ANC (AOR 1.88 95%CI 1.05–3.36), WBC (AOR 0.52 95%CI 0.31–0.87) and PLR (AOR 0.98 95%CI 0.97–0.99) were the factors associated with hypertension. Compared to people without HIV, only WBC, ANC, NLR, and d-NLR were good predictors of hypertension among PLWH.ConclusionOur study indicates a notable HIV-status driven association between CBCIS and hypertension, suggesting the use of CBICS as potential biomarkers for hypertension risk with substantial implications for early detection and preventive measures.

  19. f

    Descriptive physical activity data from IPAQ and Actigraph, by sex, age, BMI...

    • plos.figshare.com
    • figshare.com
    xls
    Updated May 31, 2023
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    Adewale L. Oyeyemi; Maimuna Umar; Friday Oguche; Salamatu U. Aliyu; Adetoyeje Y. Oyeyemi (2023). Descriptive physical activity data from IPAQ and Actigraph, by sex, age, BMI and education; Mean (SD) and Interquartile Ranges. [Dataset]. http://doi.org/10.1371/journal.pone.0087233.t002
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    Dataset updated
    May 31, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Adewale L. Oyeyemi; Maimuna Umar; Friday Oguche; Salamatu U. Aliyu; Adetoyeje Y. Oyeyemi
    License

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

    Description

    *- Significant difference between IPAQ-Actigraph tested for total PA, vigorous, moderate, Moderate-to-Vigorous PA, and sitting, respectively, using paired non parametric Wilcoxon test, p

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

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(2024). United States Climate Reference Network (USCRN) Standardized Soil Moisture and Soil Moisture Climatology [Dataset]. https://gimi9.com/dataset/data-gov_3d55b6e0846b369e9574d90c4acb0951416c7ac0

United States Climate Reference Network (USCRN) Standardized Soil Moisture and Soil Moisture Climatology

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Dataset updated
Jan 5, 2024
License

CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically

Area covered
United States
Description

The U.S. Climate Reference Network (USCRN) was designed to monitor the climate of the United States using research quality instrumentation located within representative pristine environments. This Standardized Soil Moisture (SSM) and Soil Moisture Climatology (SMC) product set is derived using the soil moisture observations from the USCRN. The hourly soil moisture anomaly (SMANOM) is derived by subtracting the MEDIAN from the soil moisture volumetric water content (SMVWC) and dividing the difference by the interquartile range (IQR = 75th percentile - 25th percentile) for that hour: SMANOM = (SMVWC - MEDIAN) / (IQR). The soil moisture percentile (SMPERC) is derived by taking all the values that were used to create the empirical cumulative distribution function (ECDF) that yielded the hourly MEDIAN and adding the current observation to the set, recalculating the ECDF, and determining the percentile value of the current observation. Finally, the soil temperature for the individual layers is provided for the dataset user convenience. The SMC files contain the MEAN, MEDIAN, IQR, and decimal fraction of available data that are valid for each hour of the year at 5, 10, 20, 50, and 100 cm depth soil layers as well as for a top soil layer (TOP) and column soil layer (COLUMN). The TOP layer consists of an average of the 5 and 10 cm depths, while the COLUMN layer includes all available depths at a location, either two layers or five layers depending on soil depth. The SSM files contain the mean VWC, SMANOM, SMPERC, and TEMPERATURE for each of the depth layers described above. File names are structured as CRNSSM0101-STATIONNAME.csv and CRNSMC0101-STATIONNAME.csv. SSM stands for Standardized Soil Moisture and SCM represent Soil Moisture Climatology. The first two digits of the trailing integer indicate major version and the second two digits minor version of the product.

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