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Replication Data for "No more silent (and uncoloured) springs in vineyards? Experimental evidence for positive impact of alternate inter-row management on birds and butterflies"
No full textButterfly and bird data used for the analyses presented in the paper "No more silent (and uncoloured) springs in vineyards? Experimental evidence for positive impact of alternate inter-row management on birds and butterflies" by M. Brambilla and F. Gatti. Databases are provided as .CSV files
FISH-AI_WP3_3.3_D15_Participation to the Annual European Research Night
No full textThis dataset collects the files regarding the European research night (September 2019
Raw data for Figure 2 for Drp1 overexpression induces desmin disassembling and drives kinesin-1 activation promoting mitochondrial trafficking in skeletal muscle
No full textra
Raw data for Figure 1 for Drp1 overexpression induces desmin disassembling and drives kinesin-1 activation promoting mitochondrial trafficking in skeletal muscle
No full textra
Raw data for Figure 5 for Givinostat as metabolic enhancer reverting mitochondrial biogenesis deficit in Duchenne Muscular Dystrophy
No full textFigure 5 raw dat
Replication data for 'A data driven Dantzig–Wolfe decomposition framework'
No full textThe dataset contains a set of about 31000 random decompositions of MIPLib instances, together with (a) an evaluation of a set of 121 features over them (b) bound and time scores, obtained through optimization runs. Their detailed structure is described in the paper:
S. Basso, A. Ceselli "A Data Driven Dantzig-Wolfe Decomposition Framework", Mathematical Programming Computation, accepted for publication (2022
Technical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm"
No full textTechnical Report of "Mathematical Programming for Simultaneous Feature Selection and Outlier Detection under l1 Norm". Broad experimental campaign.
Due to a new implementation, the reported results are outdated.
The new results can be found on: https://doi.org/10.13130/RD_UNIMI/LZA4F
Deliverables WP4
No full textThis dataset collects all the deliverables relative to the work package 4 of the Fish-AI project (months 9-36).
Before publication, data are restricted to the research partners. It is possible to request access by sending an e-mail to the project co-ordinator Prof. Fulvio Gandolfi ([email protected])
FISH-AI_WP1_1.4_D04_Validated reagent list
No full textThis dataset collects the lists of reagents currently validated in each partner's laboratories in order to ensure that data can be compared among labs and easil
