Contributors: Upekha Delay, Sajan Dissanayake, Thoshara Nawarathne, Wishmi Wasalaarachchi, Anupama Hetti Arachchi, Sachitha Abeywardhana, Thanushi Withanage, Samitha Gunarathne, Mervyn Parakrama Ekanayake, G. M. R. I. Godaliyadda
... Experimental paradigm This data set consists of Tri-axial accelerometer measurements of fetal movement from 13 subjects. This data set consists of three different classes, namely mother’s laugh (class 1), mother’s respiratory movements (class 2) and fetal movements (class 3). A single session was recorded for each subject. Each session lasted for approximately 10 to 20 minutes. Initially the subject was requested to fill out the following form. 1. Subject’s age : ……………………………………………………… 2. Fetal age : ……………………………………………………… 3. Gender of the fetal : ……………………………………………………… 4. Number of previous pregnancies : ……………………………………… 5. Other : ……………………………………………………… At the beginning of each session the sensor was fixed and the subject was instructed to settle in to a comfortable position. She was then instructed to press the corresponding button on the device when she feel a fetal movement. And the button corresponding to mother’s laugh was pressed by an experimenter. Data recording MPU 9250(a Tri-axial accelerometer) was used to record data. It has an inbuilt 3-axis accelerometer and a 3-axis gyroscope. The MPU 9250 is a passive device which measures the fetal vibration incident on the maternal abdomen. This is used considering the health benefits of the mother and the baby. The signal was sampled at 280Hz. All the data was recorded and transferred to a PC.
Contributors: Joshua Soderholm
... The following collection is used to demonstrate the HailPixel survey technique as part of an AGU GRL publication. The following is an abstract for this paper: A new technique, named "HailPixel," is introduced for measuring the maximum dimension and intermediate dimension of hailstones from aerial imagery. The photogrammetry procedure applies a convolutional neural network for robust detection of hailstones against complex backgrounds and an edge detection method for measuring the shape of identified hailstones. This semi-automated technique is capable of measuring many thousands of hailstones within a single survey, which is several orders of magnitude larger than population sizes from existing sensors (e.g., a hail pad). Comparison with a co-located hail pad for an Argentinan hailstorm event demonstrates the larger population size of the HailPixel survey significantly improves the shape and tails of the observed hail size distribution. When hailfall is sparse, such as during large and giant hail events, the large survey area of this technique is especially advantageous for resolving the hail size distribution. The dataset contains the DEM and orthomosaic imagery, processing reports, final location of hail centroids, final measurements of hail major and minor axis, subset offsets and hail pad data. For more information applying the subset offsets to calculate the true position of the hail centroids please see the paper.
Contributors: Masato Ogishi
... Performance test results of the Repitope v3.0.1.(https://github.com/masato-ogishi/Repitope) The suggested cutoffs are 0.36 and 0.54 for MHC-I and MHC-II, respectively.
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Data for: A geomorphology based reconstruction of ice volume distribution at the Last Glacial Maximum across the Southern Alps of New Zealand
Contributors: William James, Duncan Quincey, Jonathan Carrivick, Neil Glasser
... Modeled LGM ice thickness for the New Zealand Southern Alps
Contributors: Denis Mikryukov
... Here we store the coefficients of the planetary disturbing function in computer-readable form. These were obtained by Maxima computer algebra system. The method is described by Laskar and Robutel (CMDA, 62, 193-217, 1995). We should note that our coefficients of secular Hamiltonian up to degree 4 coincide with those presented by Laskar and Robutel (see Section 7, CMDA, 62, 193-217, 1995). Therefore we hope that our expansions are error free. We plan to provide more thorough and complete comments on all of these data in the near future.
Astragalus granule ameliorates renal injury in diabetic rats and patients with diabetic kidney disease
Contributors: Teng Chen
... 1 Astragalus granule with losartan alleviated STZ-induced renal injury in DKD rats Significantly reduced kidney/body weight ratios and BUN were observed in AG+losartan group and Losartan group compared to Model group (P<0.01)(Figure 1). Compared to the losartan group, the ACR were also significantly reduced in AG+losartan group (P<0.05)(Figure 2). The results of histopathological tests of the renal tissues at the end of the experiment are shown in Figures 3. Pathological renal lesion significantly worsened in the model group. AG+losartan and losartan relieved glomerular hypertrophy and mesangial expansion (Figure 3). 2 In comparison with controls, the expression of TLR4, MyD88 and p-NF-κB significantly increased in the model group (P<0.05). After 12 weeks of treatment with Astragalus granules and losartan, the expression of TLR4, MyD88 and p-NF-κB protein decreased in the AG+losartan group and Losartan group (P<0.05). Compared to the losartan group, TLR4, MyD88 and p-NF-κB were also significantly reduced in AG+losartan group. In the all groups the level of NF-κB was not statistically different (Figure 4). 3 Astragalus granulesinhibited STZ-induced TNF-α and IL-1β generation in DKD rats Renal inflammation plays a key role in promoting the occurrence and development of DKD. To explore whether Astragalus granules could affect STZ-induced inflammatory cytokines production, ELISA was performed to detect the levels of TNF-α and IL-1β in blood of DKD rats. An apparent upregulation was observed in the levels of TNF-α and IL-1β in blood of DKD rats, while astragalus granules and losartan treatment strikingly inhibited the increase of TNF-α and IL-1β in DKD rats (Figure 5). 4 Astragalus granules alleviated renal injury in DKD patients The study was conducted as a randomized, controlled, prospective study. Patients were recruited over a time period of six months. Overall, 60 DKD patients with control group (n=30) and AG+losartan group (n=30) were included. The characteristics are in Table 1. There were no significantly different between the control group and AG+losartan group (Table 1). With 12 weeks treatment, the ACR in control group and AG+losartan group were significantly lower than 12 weeks ago. Meanwhile, compared to the control group, the ACR were significantly reduced in AG+losartan group (P<0.05). Alanine transaminase (ALT), Aspartic transaminase (AST), Blood urea nitrogen (BUN), Serum creatinine (SCR), Serum uric Acid (SUA), Glomerular filtration rate (GFR) and Kalium (K) were similar among the groups (Table 2). 5 Astragalus granulesinhibited TNF-α and IL-1β generation in DKD patients. ELISA was performed to detect the levels of TNF-α and IL-1β in blood of DKD patients. With 12 weeks treatment, astragalus granules and losartan treatment strikingly inhibited the increase of TNF-α and IL-1β in DKD rats (P<0.05)(Figure 6). But there was no significantly different in control group.
Data for: Evaluation of implants placed in preserved sockets versus fresh sockets on tissue preservation and esthetics: Meta-analysis and systematic review
Contributors: Sijing Xie, Qingang Hu, Yongbin Mu, Li Wu, Xuna Tang, Weibin Sun, Jie Yang, Xin Zhou
... The files showed phased objectives of literature search and selection and statistical analysis, which could be of some help to understand our studies better.
Contributors: Olanrewaju Lawal
... Exposure capture factors which could be manifested in the magnitude and intensity of long-term changes in climate (Intergovernmental Panel on Climate Change, 2007) and in this context factors with impact on agricultural production. Temperature and rainfall were used to capture the extent to which Maize is exposed to climate change. Data was sourced from the Centre for Environmental Data Analysis (CRU TS release 4), with data extracted for 1941 - 2015. The data were processed within R (Version 3.4.2), within this environment the mean (temperature and rainfall) for northern and southern parts of the country were computed. The growing season for Maize in the north spans from May to September while in the south it starts from March and ends in August (FAO, 2018). Furthermore, long (1941 – 2015) and short (1961 – 2015) term averages for the respective growing season were computed for each of the regions. Following the computation of the long and short-term averages, exposure was computed as the ratio of the long-term to the short-term averages. With exposure index for rainfall and temperature computed separately, the two were added to get the combined exposure index. A high value indicates high exposure to climate variability. In this dataset, the exposure index is presented in raster format (Geotiff) to allow for easy processing across GIS software. In addition, the boundaries of the northern and the southern regions were also included as shapefiles.
Contributors: Fanling Hong
... Meta-analysis of retrospective case control studies about the risk factors for splenic hilum lymph node metastasis in gastric cancer
Contributors: Markus Keller, Gregor Oemer
... A description of the data is given in: Oemer, G., Lackner, K., Muigg, K., Krumschnabel, G., Watschinger, K., Sailer, S., Lindner, H., Gnaiger, E., Wortmann, S.B., Werner, E.R., et al. (2018). The molecular structural diversity of mitochondrial cardiolipins. Proc. Natl. Acad. Sci. U. S. A. (2018) https://doi.org/10.1073/pnas.1719407115