BUSCADOR RECOLECTA

File containing time series of daily values of coastal winds, upwelling index (offshore Ekman transport), continental runoff, solar irradiance and sea surface temperature for selected sites in the NW Galician coast (NW Spain). These data can be freely downloaded from the web sites of the Galician Meteorological Agency MeteoGalicia (http://www.meteogalicia.es), the Instituto Español de Oceanografía (http://www.indicedeafloramiento.ieo.es) and ICOADS (http://icoads.noaa.gov). We just put them together in a single file. The file includes metadata indicating units, the position of the selected stations and the origin of the data, European Commission: ClimeFish - Co-creating a decision support framework to ensure sustainable fish production in Europe under climate change (677039), Peer reviewed

Flesh yield of commercial mussels cultured in the Ría de Ares-Betanzos (A Coruña, NW Spain). The flesh yield is calculated as the percentage of the total weight of 1 kg of live mussels > 50 mm collected in a mussel raft that is meat weight after opening the valves with water vapour. Flesh yield data have been aggregated monthly and the seasonal cycle of each year has been adjusted to the following harmonic function: FY (%) = A1 + A2* cosine (2*Pi*t/12 + A3) where A1 is the seasonal average value of FY, A2 is half the amplitude of the seasonal cycle of FY; and A3 is the month of the year when FY is halfway between the seasonal minimum and the seasonal maximum. The values of A1, A2 and A3 for years 2002 to 2012 are reported for the two mussel cultivation areas of the Ría de Ares-Betanzos (Arnela and Lorbé) These data have been published in X.A. Álvarez-Salgado, U. Labarta, V. Vinseiro and M.J. Fernández Reiriz (2017). Environmental drivers of mussels flesh yield in a coastal upwelling system. Ecological Indicators 79, 323-329., Peer reviewed

Number of days per month that the mussel cultivation areas of the Ría de Areas-Betanzos (A Coruña, NW Spain), Arnela and Lorbé, have been closed to mussel extraction. The toxicity causing the closures (ASP, DSP and PSP) is also indicated. Data covers the period from 2000 to 2007. The Technological Institute for the Monitoring of the Marine Environment in Galicia (INTECMAR) announces the closures and their causes (ASP, DSP, PSP) on a daily basis through the web page http://www.intecmar.org. However, previous daily reports are not freely available in the web page. This data has been published in X.A. Alvarez-Salgado, F.G. Figueiras, M.J. Fernandez-Reiriz, U. Labarta, L. Peteiro and S. Piedracoba (2011). Control of lipophilic shellfish poisoning outbreaks by seasonal upwelling and continental runoff. Harmful Algae 10, 121-129., Peer reviewed

1 figure, Including the identification of known and putative novel miRNAs, miRNA abundance profiling and differential abundance analysis. rRNA: ribosomal RNA; tRNA: transfer RNA; snoRNA: small nucleolar RNA; snRNA: small nuclear RNA; RE: repeat elements; qPCR: quantitative real-time PCR., Peer reviewed

1 figure, CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, Peer reviewed

A. PCA of urine samples on the basis of normalized read counts of the known and putative novel miRNAs for the 38 samples initially processed. The red arrows indicate the outlier Control samples (C5, C6 and C7). B. PCA excluding the high outlier samples. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction., Peer reviewed

A. Proportion of samples for which each of the known miRNAs across the different groups were detected. B. Cumulative abundance of the known feline miRNAs. The dots indicate the log10 of the miRNA abundance for each miRNA. miRNAs are sorted in each group in a decreasing order by their miRNA abundance on the x-axis, independently for each group. C. Proportion of samples for which each of the putative novel miRNA candidates across the different groups were detected. D. Cumulative abundance of the putative novel miRNAs. The dots indicate the log10 of the miRNA abundance for each miRNA. miRNAs are sorted in each group in a decreasing order by their miRNA abundance on the x-axis, independently for each group. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million., Peer reviewed

1 figure., All samples together (all groups), as well as each one of the contrasts considered (Controls vs. PN; Control vs. SB/C; Control vs. UO; Control vs. CKD; PN vs. SB/C; PN vs. UO; PN vs. CKD and PN vs. other Pathologies) are shown. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction., Peer reviewed

1 figure., CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million, Rq: Relative quantities., Peer reviewed

The data presented is from selected miRNAs that were DA (|log2FC| ≥ 1.5 for qPCR and |log2FC| ≥ 2 for small RNAseq; q-value < 0.05) using both methodologies. CKD: Chronic kidney disease; PN: Pyelonephritis; SB/C: Subclinical bacteriuria/Cystitis; UO: Ureteral obstruction, CPM: Counts per million, Rq: Relative quantities., Peer reviewed