BUSCADOR RECOLECTA

1 file, The Cape Verde Frontal Zone (CVFZ) is a highly dynamic region located in the southern boundary of the Canary Current Eastern Boundary Upwelling Ecosystem. Due to the interaction of the Cape Verde Front with the Mauritanian coastal upwelling, the area features large vertical and horizontal export fluxes of organic matter. Full-depth profiles were recorded during FLUXES I cruise, with four consecutive transects defining a box embracing the giant filament of Cape Blanc and the Cape Verde front. Fifteen levels were sampled in medium and long stations (down to 4000 dbar) and 10 levels in short stations (down to 2000 dbar) where inorganic nutrients (NO3, NO2, Si(OH)4 and PO4), dissolved organic carbon/total dissolved nitrogen (DOC/TDN), and suspended particulate organic carbon and nitrogen (POC and PON) were sampled. Micromolar concentrations of nutrient salts were determined simultaneously by segmented flow analysis in an Alliance Futura autoanalyser. The determination of suspended POC and PON was carried out by high temperature catalytic oxidation at 900 °C in a Perkin Elmer 2400 elemental analyser. DOC and TDN were analysed by high temperature catalytic oxidation at 680 °C with a Shimadzu TOC-V analyser connected in line with a TNM1 measuring unit. Alongside with water samples conductivity, temperature and depth (CTD; SeaBird SBE911 plus), and dissolved oxygen (SeaBird SBE43), fluorescence of chlorophyll (SeaPoint SCF), and turbidity (SeaPoint STM) were measured. CTD conductivity was calibrated with water samples taken from the rosette and analysed on board with a Guildline 8410-A Portasal salinometer. Samples for dissolved oxygen (O2) determination were analysed on board by the Winkler potentiometric method. The chlorophyll (Chl) fluorescence sensor was calibrated with water samples taken at 4 depths in the photic layer which were estimated fluorometrically by means of a Turner Designs bench fluorometer 10-AU, Horizon 2020 (H2020), grant/award no. 817806: Sustainable management of mesopelagic resources; Ministerio de Ciencia e Innovación (MICINN), grant/award no. CTM2015-69392-C3: Constraining organic carbon fluxes in an eastern boundary upwelling ecosystem (NW Africa): the role of non-sinking carbon in the context of the biological pump; Ministerio de Ciencia e Innovación (MICINN), grant/award no. PID2019-109084RB-C21: Biogeochemical impact of mesoscale and sub-mesoscale processes along the life history of cyclonic and anticyclonic eddies: plankton variability and productivity, Peer reviewed

GTEx PEMT-HMT correlation all tissues full labelled plots., Peer reviewed

SedDARE-IB (Sediment Data REpository of IBeria and its continental margins) is an open access database that stores available data available data of the depth to the Base Cenozoic and Top Paleozoic stratigraphic markers. SedDARE-IB include data on onshore basins of the Iberian Peninsula (Ebro, Duero, Tajo and Gualdalquivir basins), the Lusitanian and Lower Tagus basins, and many other small basins. Offshore, SedDARE-IB comprises sedimentary data from the Atlantic Margin (Alentejo, Peniche, Northern Lusitanian Basin and deep offshore depocentres), the Gulf of Cadiz region (Algarve Basin and its surroundings) and the base of the Cenozoic marker for the Western Mediterranean Neogene basins, e.g., Valencia Trough and Alboran Basin, also comprising the acoustic basement for the rest of the Western Mediterranean region. By following the FAIR (Findable, Accessible, Interoperable and Reusable) principles of data management and having regular updates, it brings endless research and teaching opportunities to the scientific, industrial and educational communities., Sediments provide valuable information for geologists and geophysicists whenever they strive to understand, and reproduce, the geological evolution, lithology, rock properties, seismic response, and geohazards of a region. The analysis of sedimentary sequences is thus useful to the interpretation of depositional environments, sea-level change, climate change, and to a recognition of the sediments’ source areas, amongst other aspects. By integrating sedimentary data in geophysical modelling, such interpretations are improved in terms of their accuracy and reliability. To help our further understanding of Iberia’s geological evolution, geological resources and geohazards, this work presents to the scientific community the SedDARE-IB data repository. SedDARE-IB includes data on onshore basins as varied as the foreland basins of the Pyrenean-Cantabrian (Ebro and Duero basins) and Betic Cordillera (Guadalquivir Basin), the Lusitanian and Lower Tagus basins, and many other small basins. Offshore, SedDARE-IB comprises sedimentary data from the Atlantic Margin (Alentejo, Peniche, Northern Lusitanian Basin and deep offshore depocentres), the Gulf of Cadiz region (Algarve Basin and its surroundings) and the base of the Cenozoic marker for the Western Mediterranean Neogene basins, e.g., Valencia Trough and Alboran Basin, also comprising the acoustic basement for the rest of the Western Mediterranean region. SedDARE-IB database has been built thanks to a Portuguese-Spanish collaboration promoting open data exchange among institutions and research groups., This research has been partly supported by the project funded by the Spanish Government GeoCAM (PID2022-139943NB-I00) and GEOADRIA (PID2022-139943NB-I00). The onshore Iberia data sets were compiled under the umbrella of the ALGECO2 project (IGME-CSIC). The Lower Tagus Basin and Alentejo datasets were prepared by JC under the scope of an academic thesis and updated during projects (SISMOD/LISMOT and NEFITAG), financed by the Portuguese Foundation for Science and Technology. AMGG received a grant (FJC2021-047434-I) funded by MICIU/AEI /10.13039/501100011033 and by “European Union NextGenerationEU/PRTR”., SedDARE-IB_Readme.txt; TA_Basement_IAM_Part1_WGS84.xyz; TA_Basement_IAM_Part2_WGS84.xyz; TA_Basement_ISE_Off_Portugal_WGS84.xyz; TA_Basement_Peniche_Basin_WGS84.xyz; Top_Basement_N_LusitaniaB_WGS84.xyz; TA_Basement_Lines_Off_Lisbon_WGS84.xyz; Top_Basement_Lines_Off_SPortugal_WGS84.xyz; Top_Basement_Alentejo_and_Algarve_WGS84.xyz; Top_Basement_Lower_Tagus_Basin_WGS84.xyz; Top_Paleozoic_Basement_Onshore_IB_Basins_ETRS89.xyz; Top_Basement_WestMed_Basins_WGS84.xyz ; TA_Base_Cenozoic_IAM_Part1_WGS84.xyz; TA_Base_Cenozoic_IAM_Part2_WGS84.xyz; TA_Base_Cenozoic_ISE_Off_Portugal_WGS84.xyz; TA_Base_Cenozoic_Peniche_WGS84.xyz; Base_Cenozoic_N_LusitaniaB_WGS84.xyz; TA_Base_Cenozoic_Lines_Off_Lisbon_WGS84.xyz; Base_Cenozoic_Lines_Off_SPortugal_WGS84.xyz; Base_Cenozoic_Alentejo_Algarve_basins_Part1_WGS84.xyz; Base_Cenozoic_Alentejo_Algarve_basins_Part2_WGS84.xyz; Base_Cenozoic_Lower_Tagus_Basin_WGS84.xyz; Base_Cenozoic_Ebro_Basin_ETRS89.xyz; Base_Cenozoic_Duero_Basin_ETRS89.xyz; Base_Cenozoic_Tajo_Basin_ETRS89.xyz; Base_Cenozoic_Guadalquivir_Basin_ETRS89.xyz; Base_Cenozoic_Mallorca_Island_ETRS89.xyz; Base_Cenozoic_Valencia_Trough_WGS84.xyz; Base_Cenozoic_Alboran_Basin_WGS84.xyz; Algarve_PaleogeneUnc_TopUpperK_cokriginig_WGS84.xyz, Peer reviewed

TCGA NNMT-HMT correlation all cancers full labelled plots., Peer reviewed

CCLE NNMT-HMT correlation all cancers full labelled plots., Peer reviewed

Contents: S1 Geographical description of the German Part of the Elbe River basin – S1.-- S2 Drought indices – S9.-- S3 Aspects of the socio-economic drought impacts – S13.-- References, Peer reviewed

7 files, Knowledge of the three-dimensional movement patterns of elasmobranchs is vital to understanding their ecological roles and exposure to anthropogenic pressures. To date, comparative studies among species at global scales have mostly focused on horizontal movements. Our study addresses the knowledge gap of vertical movements by compiling the first global synthesis of vertical habitat use by elasmobranchs from data obtained by deployment of 989 biotelemetry tags on 38 elasmobranch species. Elasmobranchs displayed high intra- and interspecific variability in vertical movement patterns. Significant vertical overlap was observed for many epipelagic elasmobranchs, indicating an increased likelihood to display spatial overlap, biologically interact, and share similar risk to anthropogenic threats that vary on a vertical gradient. We highlight the critical next steps towards incorporating vertical movement into global management and monitoring strategies for elasmobranchs, emphasising the need to address geographic and taxonomic biases in deployments and to concurrently consider both horizontal and vertical movements, Peer reviewed

Subcellular localisations of transsulphuration and glutathione synthesis genes., Peer reviewed

Supplementary Figures (1-2) and Tables (1-3)., Peer reviewed

Table S1. Statistics of the co-registration statistics between the external DEMs and the ICESat-2 snow-off DEM.-- Table S2. Statistics of the snow depth residuals for different snow-off Digital Elevation Models (DEMs) on 12 March 2019. The ICESat-2-ASO product is shown in detail on Figure 3. All residuals are shown in Figure 5 and S4.-- Table S3. Statistics of the co-registration statistics between the Pléiades and Copernicus DEMs to the ASO DEM at15 m. All these DEMs were previously co-registered to the ICESat-2 snow-off points.-- Figure S1. Map of the mean annual snow cover duration in the upper Tuolumne basin calculated from a time series of MODIS images (MOD10A1).-- Figure S2. Optimization of the kappa index to determine the photon count threshold defining snow-on and snow-off points based on MODIS snow cover area data.-- Figure S3. Vertical uncertainty of the ATL06 elevation (sigma_h_mean) against along-track slope (dh_fit_dx). The along-track slope (dh_fit_dx) is directly provided in ATL06.-- Figure S4. Same figure as Figure 5 but with snow depth derived from ICESat-2 and the ASO DEM (green, identical to Fig. 5) and ICESat-2 and the Copernicus DEM (purple). Note the different y-scale compared to Figure 5.-- Figure S5. Same as Figure 5 but selecting ICESat-2 ATL06 snow-on points of the strong beams only.-- Figure S6. Same as Figure 5 but selecting ICESat-2 ATL06 snow-on points of the weak beams only.-- Figure S7. Same as Figure 5 but calculating the relative snow depth error (ICESat-2 derived snow depth minus ASO snow depth divided by ASO snow depth) rather than the absolute snow depth error (ICESat-2 derived snow depth minus ASO snow depth).-- Figure S8. Distribution of the snow-off residual (ICESat-2 minus DEM) before (black line) and after coregistration (color) for the ASO DTM (left), the Pléiades DEM (middle) and the Copernicus DEM (right). The vertical lines show the median plus/minus the NMAD after coregistration.-- Figure S9. Snow depth (colored boxes) and snow-off (white boxes) residuals for ICESat-2 – ASO (left) and ICESat-2 – Pléiades (right). Transparent boxplots show the data where less than 100 points were available.-- Figure S10. Elevation difference of the snow-off DEMs, the difference between the Copernicus 30 DEM and the ASO DEM (a) and the Pléiades DEM and the ASO DEM (b). All DEMs were individually co-registered on the ICESat-2 snow-off points. © Author(s) 2023. CC BY 4.0 License. The copyright of individual parts of the supplement might differ from the article licence., Peer reviewed