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Keeping order in the brain: the supramarginal gyrus and serial order in short-term memory - dataset and materials
Dataset and materials for the rTMS study "Keeping order in the brains: the supramarginal gyrus and serial order in short-term memory". In the "Experiment folders" there are the E-Prime script of the tasks and the stimuli used. In the "Database and all anlysis" folder, there is the anonymus excel database of all 4 experiments and the Statistica workbook with all the analyses conducted and reported in the paper
SMA libraries for metabolite identification and quantification in Mentha longifolia extracts
Metabolite library built from NMR spectra for metabolomic analysis of leaves' hydroalcholic extract (80% MeOH) from wild mountain Mentha longifolia, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.1 software
Data for: First evidence of microplastic contamination in the supraglacial debris of an Alpine glacier
Microplastic abundance in 6 supraglacial debris samples collected on On 20 July 2018 and 24 July 2018 on the Forni Glacier (Italian Alps, approximate coordinates of sampling location 46°12’30’’ N, 10°13’50’’ E, altitude 2580 m a.s.l.)
Data for: Active stress field and fault kinematics of Greater Caucasus
Table 1s. Fault plane solution parameters of studied events. The table reports date, origin time, strike, dip and slip for first (N1_Str1, N1_dip1, N1_slip1) and second (N2_Str2, N2_dip2, N2_slip2) nodal planes, azimuth and plunge of P and T axes, FPS category (grade), number of polarities (p_n), quality factor for earthquakes Q
SMA libraries for metabolite identification and quantification in Lolium multiflorum extracts
Metabolite library built from NMR spectra for metabolomic analysis of leaves' aquous extract from Lolium multiflorum, using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 14.1 software
Data for: Recycling and waste generation: an estimate of the source reduction effect of recycling programs
Panel data on municipal waste and recycling
Dendritic Cells Landscape
Pipelines for CellProfiler mask generation, creation of heatmaps with R from Phenograph .csv data, .csv data exported from HistoCAT after segmentation and analysis.
Refers to The landscape of S100B+ and HLA-DR+ dendritic cell subsets in tonsils at the single cell level via high-parameter mapping. by Bolognesi MM et al
Irregular Filters for Semi-regular Dubuc-Deslauriers Wavelet Tight Frames
We present filters for the irregular framelets of semi-regular Dubuc-Deslauriers 2n-point wavelet tight frames with mesh parameters h_\ell = 1 and h_r > 0 for the cases:
n = 2, h_r = 1.5, 2, 2.5, 3
n = 3, h_r = 1.5, 2, 2.25, 2.5
n = 4, h_r = 1.5, 2, 2.15, 2.3
n = 5, h_r = 1.5, 2, 2.1, 2.2
These filters have been computed using the method described in "Semi-regular Dubuc-Deslaurier wavelet tight frames" submitted to Journal of Computational and Applied Mathematics Special Issue for SMART 2017.
The filters are the columns of the matrix Q_irr where R_irr = Q_irr * transpose(Q_irr). To avoid numerical fluctuations Q_irr is computed via singular value decomposition, with threshold on the singular values set to 10^-8.
The filters depend only on the ratio h_\ell over h_r and, when this ratio is inverted, it is sufficient to flip the filters. Therefore there is no loss of generality in considering h_\ell = 1 and h_r greater than or equal to 1 only.
Moreover, for any fixed natural number n and h_\ell = 1, there is an interval of availability for h_r of the form ( 1/c, c ), where h_r = 1 reduces to the regular case. For n = 2, the exact value of c is 3.5 while for the other values of n the approximated values of c are 2.6225, 2.3591 and 2.2346 respectively for n = 3, 4 and 5. For the examples presented we choose two common values of h_r working for all n=2,...,5 and two values specifically chosen for each n spreaded out between 2 and c
Data for: One size does not fit all: quantile regression estimates of cross-country risk of poverty and social exclusion. An application to European data
Stata data se
SMA libraries for metabolite identification and quantification in coffee extracts
Metabolite libraries built from NMR spectra for two types of coffee (green or roasted) and for three extraction procedures (hydroalcoholic, espresso, moka), using the Simple Mixture Analysis (SMA) tool implemented in MestreNova 12.0 software