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  • This data set contains the following data files: - `biomat-conductivity.csv`: Measured hydraulic conductivities of the soil and biomat - `biomat-growth.csv`: Time for sensor positions (within upper 5 cm) to reach a 2.5% increase in VWC for each site and treatment - `biomat-parameters.csv`: Parameters for biomat growth models - `effluent-data.csv`: Effluent pollutant concentrations - `hydrus-parameters.csv`: Parameters used in HYDRUS modeling - `met-data.csv`: Meteorological data - `sensor-control.csv`: VWC observations for control sensors installed outside the soil treatment unit - `sensor-meta.csv`: Meta data for sensor locations - `site-meta.csv`: Meta data for the research sites - `vwc-predrought.csv`: VWC changes before the onset of the summer 2018 drought - `vwc-postdrought.csv`: VWC changes during the summer 2018 drought A detailed description of the content of each data file is given in the codebook provided with this dataset.
    Data Types:
    • Tabular Data
    • Dataset
    • Text
  • Application of the Sydney Melancholia Prototype Index (SMPI) in a Brazilian sample of depressive outpatients
    Data Types:
    • Tabular Data
    • Dataset
  • The descriptive data presented in this article is used to measure the level of student’s satisfaction with university facilities which are provided by the university as well as the government. This study involved 280 respondents comprising diploma, bachelor degree and post graduate student at Malaysian Public University. An open-ended question with 10 Likert Scale was distributed to respondents to identify the level of student’s satisfaction with the facilities provided by the university. The one to 10 scale measurements starting with one is Strongly Dissatisfied to 10 is Strongly Satisfied has been used to measure the level of student’s satisfaction towards 14 facilities at the university.
    Data Types:
    • Tabular Data
    • Dataset
    • Document
    • Text
  • Data and R-script corresponding to the article of Fayard et al. "Magnitude and direction of parasite-induced phenotypic alterations: a meta-analysis in acanthocephalans"
    Data Types:
    • Software/Code
    • Tabular Data
    • Dataset
  • These data are raw and were obtained after monitoring the fridge temperature (up to two weeks) in households with vulnerable consumers or high risk takers, in five countries.
    Data Types:
    • Tabular Data
    • Dataset
  • The coastal and marine ecosystems of Myanmar have been subject to wide scale overexploitation and anthropogenic stress for decades. This has fundamentally altered their status and composition. These impacts have brought with them substantial impacts to fishing dependent communities and have put at risk the resilience of Myanmar’s marine socio-ecological systems. Unfortunately, data are lacking to be able to understand and illustrate the impact of these changes to local communities and fisheries managers. To fill this gap and to be able to populate a model that explores the effects that management could have for Myanmar’s multispecies fisheries, we assembled a unique database of life history information for over 600 species from fishery-independent surveys and FishBase data. The aim was to compile a comprehensive dataset that can be used in other studies and the list of species represents a catalogue developed from natural history texts dating from the 1800s as well as fishery independent surveys and online data. Additionally, we digitized the catch per hour fishing station data from the 2013 Nansen survey, which was used to calculate the swept area biomass of each species in Myanmar’s waters.
    Data Types:
    • Tabular Data
    • Dataset
  • These datasets contains the results of a study on Argentine software organizations. They are used in a proposal for an Ontology-based Agile Practices Recommendation System.
    Data Types:
    • Other
    • Software/Code
    • Tabular Data
    • Dataset
  • A collection of case history data collected from various sources of rock buckling (pop ups) at the ground surface in North America.
    Data Types:
    • Tabular Data
    • Dataset
  • The HOXB7, HOXB8 and HOXB9 gene expression profiles in breast cancer are contradictory due to disease complexity and technical issues. The data presented here cover these two points by analyzing the expression of these genes in breast cancer cell lines representative of distinct molecular subtypes using a very sensitive quantification technique, the qPCR. The cell lines analyzed were MCF7, BT474, SKBR3, MDA231, MDA468 and MCF10A representative of Luminal A, Luminal B, HER2+, triple-negative claudin low, triple-negative basal and normal model, respectively. The raw data was accessed by CFX Manager 3.1 software (Bio-Rad) and a threshold line was put into the exponential phase of the amplification curve generating a Cycle Threshold (CT) number for each sample. The CT numbers were transferred to an Excel file, provided in the Raw data folder, to be analyzed using the formula: RATIO= E target^ – (CT sample for the target gene) / E reference^ – (CT sample for the reference gene), in which “E” refers to primer efficiencies previously calculated and GAPDH is the reference gene. The statistical analyses were made with Prism 8 using the unpaired T test with Welch’s correction using the MCF10A cells as reference sample. P-values were considered statistically significant when P≤0.05. The obtained values are provided in Analyzed data folder. Data are presented as the mean ± SD of at least three independent experiments. When more than three experiments are available, we used all replicates to do the analysis or excluded discrepant results but always keeping at least three replicates. The analyzed results showed that HOXB7 tends to be upregulated in all breast cancer cell lines when compared to the normal cell model, while HOXB8 and HOXB9 are significantly upregulated in MCF7, BT474 and MDA231 cells with no significant differences in SKBR3 and MDA468 cells. All genes presented expression levels highly subtype-dependent among different breast cancer cell lines.
    Data Types:
    • Tabular Data
    • Dataset
  • Dataset for measurements of vessel density and vessel length density
    Data Types:
    • Tabular Data
    • Dataset
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