Resultados totales (Incluyendo duplicados): 35638
Encontrada(s) 3564 página(s)
Encontrada(s) 3564 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357186
Dataset. 2022
BIOACCUMULATION PATTERNS OF TRACE ELEMENTS BY NATIVE (M. GALLOPROVINCIALIS) AND INVASIVE (X. SECURIS) MUSSELS IN COASTAL SYSTEMS (VIGO RIA, NW IBERIAN PENINSULA). SUPPORTING INFORMATION
- Rodríguez-Velarte, Patricia
- Babarro, José M. F.
- Cabelo-García, A.
3 pages.-- File includes 2 tables, 1 figure, Table S1. Results obtained (n=3) for the certified reference materials DORM-2 (fish muscle) and BCR-CRM668 (mussel tissue) (NRC, Canada). Values in brackets represent one standard deviation.-- Table S2. Results obtained (n=3) for the certified reference materials CASS-6 (coastal seawater), SLEW-3 (estuarine water) and SLRS-6 (river water) (NRC, Canada). Values in brackets represent one standard deviation. Values for REE in SLEW-3 are not certified; concentrations given were reported by Bayon et al. (2001). Value for Nb in SLRS-6 is not certified; value given was reported by Babechuk et al. (2020).-- Figure S1. Concentrations (µg g-1) of the trace elements analyzed in the hepatopancreas, gills and rest of soft tissue for M. galloprovincialis at Station 3 and X. securis at Station 1, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357186
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357186
HANDLE: http://hdl.handle.net/10261/357186
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357186
PMID: http://hdl.handle.net/10261/357186
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357186
Ver en: http://hdl.handle.net/10261/357186
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357186
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357202
Dataset. 2022
SUPPLEMENTARY MATERIALS OF COMPARATIVE METAGENOMICS OF PHYTOPLANKTON BLOOMS AFTER NUTRIENT ENRICHMENT OF OLIGOTROPHIC MARINE WATERS
- Pearman, John K.
- Casas Castaño, Laura
- Michell, Craig
- Aldanondo, Naroa
- Mojib, Nazia
- Holtermann, Karie
- Georgakakis, Ioannis
- Curdia, Joao
- Carvalho, Susana
- Gusti, Amr
- Irigoien, Xabier
Figure S1. Relative abundance of open reading frames (ORFS) taxonomically classified at the phylum level (ORFs required annotation at least to the kingdom level). Only the top 15 taxa were shown.-- Figure S2. Venn diagram depicting the shared and unique KEGG IDs amongst nutrient treatments. NP = the single nitrate and phosphate addition; NP.cont = the continuous nitrate and phosphate addition; NPS = the single nitrate, phosphate and silicate addition; and NPS.cont = the continuous nitrate, phosphate and silicate (NPS.cont) addition.-- Figure S3. Changes in the abundance of enzymes (RPM = reads per million) involved in A) assimilatory nitrate reduction and B) dissimilatory nitrate reduction over time for the various treatments. NP = the single nitrate and phosphate addition; NP.cont = the continuous nitrate and phosphate addition; NPS = the single nitrate, phosphate and silicate addition; and NPS.cont = the continuous nitrate, phosphate and silicate (NPS.cont) addition.-- Figure S4. The changes in abundance (RPM = reads per million) of antenna proteins over time. AP = Allophycocyanin, PC = Phycocyanin, PEC = Phycoerythrocyanin, PE = Phycoerythrin and LHC = Light harvesting chlorophyll protein complex. NP = the single nitrate and phosphate addition; NP.cont = the continuous nitrate and phosphate addition; NPS = the single nitrate, phosphate and silicate addition; and NPS.cont = the continuous nitrate, phosphate and silicate (NPS.cont) addition.-- Figure S5. Temporal dynamics of oxidative phosphorylation related enzymes for each of the treatments. RPM = reads per million; NP = the single nitrate and phosphate addition; NP.cont = the continuous nitrate and phosphate addition; NPS = the single nitrate, phosphate and silicate addition; and NPS.cont = the continuous nitrate, phosphate and silicate (NPS.cont) addition.-- Table S1. Metadata of the samples taken during the mesocosm experiment.-- Table S2. KEGG IDs that were used in the analysis of temporal patterns of select metabolic pathways.-- Table S3. Sequencing, assembly and annotation results.-- Table S4. The percentage abundance per replicate of the top taxonomic classes per day and treatment, s001, Figure S1.-- s002, Figure S2.-- s003, Figure S3.-- s004, Figure S4.-- s005, Figure S5.-- s006, Table S1.-- s007, Table S2.-- s008, Table S3.-- s009, Table S4, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357202
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357202
HANDLE: http://hdl.handle.net/10261/357202
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357202
PMID: http://hdl.handle.net/10261/357202
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357202
Ver en: http://hdl.handle.net/10261/357202
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357202
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357220
Dataset. 2024
SUPPLEMENTARY DATA FOR DETAILED SPECTROPHOTOMETRIC ANALYSIS OF THE SUPERLUMINOUS AND FAST EVOLVING SN 2019NEQ
- Fiore, Achille
- Benetti, Stefano
- Tartaglia, Leonardo
- Jerkstrand, Anders
- Salmaso, Irene
- Tomasella, Lina
- Morales-Garoffolo, A.
- Geier, Stefan
- Elias-Rosa, Nancy
- Cappellaro, Enrico
- Wang, Xiaofeng
- Mo, Jun
- Chen, Zhihao
- Mazzali, Paolo A.
- Ciolfi, Riccardo
- Cai, Yongzhi
- Fraser, Morgan
- Gutiérrez, Claudia P.
- Karamehmetoglu, Emir
- Kuncarayakti, Hanindyo
- Moran, Shane
- Ochner, Paolo
- Reguitti, Andrea
- Reynolds, Thomas M.
- Valerin, Giorgio
-Table C1. uvw1, uvm2, uvw2-filters observed (non K-corrected, non S-corrected) aperture magnitudes (in AB system).
-Table C2. u, g, r, i, z-filter observed (non K-corrected, non S-corrected) magnitudes (in AB system). Errors are in parentheses.
-Table C3. U, B, V-observed (non K-corrected, non S-corrected) magnitudes (in AB system).
-Table C4. NIR-observed (non K-corrected) J, H, K magnitudes (in AB system).
-Table C5. S-corrections for Schmidt and AFOSC filters.
-Table C6. S-corrections for ALFOSC.
-Table C7. S-corrections for IO:O filters.
-Table C8. S-corrections for Swift/UVOT filters.
-Table C9. Estimated uncertainties ΔScorr for the filters u, U, z, J, H, Ks (for each instrument) divided in two temperature ranges.
-Table C10. corrections expressed in magnitudes.
-Table C11. Logarithm of the bolometric luminosity of SN 2019neq integrated over the uvw2, uvm2, uvw1, U, B, g, V, r, i, z, J, H, Ks filters., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357220
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357220
HANDLE: http://hdl.handle.net/10261/357220
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357220
PMID: http://hdl.handle.net/10261/357220
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357220
Ver en: http://hdl.handle.net/10261/357220
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357220
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357229
Dataset. 2024
LIST OF ALL 14C DATES MADE ON CANOES
- Gibaja, Juan Francisco
- Mineo, Mario
- Santos, F. J.
- Morell, Berta
- Caruso-Fermé, Laura
- Remolins, Gerard
- Masclans, Alba
- Mazzucco, Niccolò
List of all 14C dates made on canoes, Navigation in the Mediterranean in the Neolithic is studied here through the boats that were used, the degree of technical specialisation in their construction and, above all, their chronology. After a brief explanation of the exceptional site of La Marmotta, the characteristics and chronology of the five canoes found at the settlement and one of the nautical objects linked to Canoe 1 are discussed. This will allow a reflection on the capability of Neolithic societies for navigation owing to their high technological level. This technology was an essential part in the success of their expansion, bearing in mind that in a few millennia they occupied the whole Mediterranean from Cyprus to the Atlantic seaboard of the Iberian Peninsula., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357229
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357229
HANDLE: http://hdl.handle.net/10261/357229
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357229
PMID: http://hdl.handle.net/10261/357229
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357229
Ver en: http://hdl.handle.net/10261/357229
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357229
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357231
Dataset. 2023
SYNTHESIS AND CHARACTERIZATION OF MULTILAYERED CRALN/AL2O3 TANDEM COATING USING HIPIMS FOR SOLAR SELECTIVE APPLICATIONS AT HIGH TEMPERATURE [DATASET]
- Sánchez-Pérez, Miriam
- Rojas, T. Cristina
- Reyes, Daniel F.
- Ferrer, F. J.
- Farchado, Meryem
- Morales, Ángel
- Escobar Galindo, R.
- Sánchez-López, Juan Carlos
The effect of applying a negative bias during deposition of a previously designed multilayer solar selective absorber coating was studied on two types of substrates (316L stainless steel and Inconel 625). The solar selective coating is composed of different chromium aluminum nitride layers deposited using a combination of radiofrequency (RF), direct current (DC), and high-power impulse magnetron sputtering (HiPIMS) technologies. The chemical composition is varied to generate an infrared reflective/absorber layer (with low Al addition and N vacancies) and two CrAlN intermediate layers with medium and high aluminum content (Al/Cr = 0.6 and 1.2). A top aluminum oxide layer (Al2O3) is deposited as an antireflective layer. In this work, a simultaneous DC-pulsed bias (−100 V, 250 kHz) was applied to the substrates in order to increase the film density. The optical performance, thermal stability, and oxidation resistance was evaluated and compared with the performance obtained with similar unbiased coating and a commercial Pyromark paint reference at 600, 700, and 800 °C. The coating remained stable after 200 h of annealing at 600 °C, with solar absorptance (α) values of 93% and 92% for samples deposited on stainless steel and Inconel, respectively, and a thermal emittance ε25°C of 18%. The introduction of additional ion bombardment during film growth through bias assistance resulted in increased durability, thermal stability, and working temperature limits compared with unbiased coatings. The solar-to-mechanical energy conversion efficiency at 800 °C was found to be up to 2 times higher than Pyromark at C = 100 and comparable at C = 1000., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357231
HANDLE: http://hdl.handle.net/10261/357231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357231
PMID: http://hdl.handle.net/10261/357231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357231
Ver en: http://hdl.handle.net/10261/357231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357231
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357438
Dataset. 2024
ARIDITY INDEX IN SPAIN, V1.0.0. [DATASET]
CLIMATOLOGIC ARIDITY IN SPAIN FOR THE 1961-2020 PERIOD
- Trullenque Blanco, Víctor
- Beguería, Santiago
[EN] The Aridity Index in Spain v1.0.0. dataset consists of 42 netCDF files with Aridity Index information of Spain (Iberian Peninsula territories, Balearic and Canary islands) at monthly, seasonal and annual time-scale for the 1961-2020 time-period. The data are divided into time series and climatologies calculated for the entire period (1961-2020) and two subperiods (1961-1990 and 1991-2020). The time series correspond to the mean Aridity Index and in the case of climatologies, in addition to the mean, the coefficients of variation of the index are presented. For operational reasons the data are shown divided into two groups of grids, those corresponding to mainland Spain and the Balearic Islands (spatial extent: longitude = 1115, latitude: 834, units = 0.02 degrees, EPSG: 25830) and a second group for the Canary Islands only (longitude = 455, latitude: 168, units = 0.02 degrees, EPSG: 25830).
[ES] El conjunto de datos Aridity Index in Spain v1.0.0 consta de 42 archivos netCDF con información del Índice de Aridez de España (territorios de la Península Ibérica, Baleares y Canarias) a escala temporal mensual, estacional y anual para el periodo 1961-2020. Los datos se dividen en series temporales y climatologías calculadas para todo el periodo (1961-2020) y dos subperiodos (1961-1990 y 1991-2020). Las series temporales corresponden al Índice de Aridez medio y en el caso de las climatologías, además de la media, se presentan los coeficientes de variación del índice. Por razones operativas los datos se muestran divididos en dos grupos de mallas, las correspondientes a la España peninsular y Baleares (extensión espacial: longitud = 1115, latitud: 834, unidades = 0,02 grados) y un segundo grupo sólo para Canarias (longitud = 455, latitud: 168, unidades = 0,02 grados)., [EN] A monthly, seasonal and annual climatological aridity gridded data set over Spain (Iberian Peninsula territories, Balearic and Canary islands) between January 1961 and December 2020. The aridity index is a measure of the dryness or humidity of a region's climate, and along with average temperature, it is one of the climatic factors that best explain the distribution of different biomes on the planet. From the meteorological observation data of the National Climate Data Bank of the State Agency AEMET, and using the experience and methods developed by the research team for the elaboration of other databases such as the Historical Database of Drought in Spain (https://monitordesequia.csic.es/historico), a grid database of the Aridity Index defined by the United Nations Environmental Program has been obtained: (AI, mm / mm) as the ratio of precipitation (P, mm) to potential evapotranspiration (PET, mm): AI = P / PET. Here we use ETo (reference evapotranspiration), as computed by the FAO-56 Penman-Monteith equation. Data for P and ETo have been obtained from the Historical Database of Drought in Spain (https://monitordesequia.csic.es/historico). Both the time series and the climatologies of the periods/subperiods at monthly, seasonal and annual time scales have been calculated. Here we shall consider the period 1961-2020, spanning 60 years. This time frame can be sub-divided into two equal 30-year periods, also known as normal-periods: 1961-1990 and 1991-2020. The data are separated into two files groups: one for mainland Spain (including the Balearic Islands) and one for the Canary Islands., [ES] Esta base de datos climática presenta un conjunto de información representado en forma de cuadrícula a escalas mensual, estacional y anual sobre la aridez en España (territorios de la Península Ibérica, Baleares y Canarias) entre enero de 1961 y diciembre de 2020. El índice de aridez es una medida del carácter seco o húmedo del clima de un lugar, y junto con la temperatura media es uno de los factores climáticos que mejor explican la distribución de los diferentes biomas en el planeta. A partir de los datos de observación meteorológica del Banco Nacional de Datos Climáticos de la Agencia Estatal AEMET, y utilizando la experiencia y métodos desarrollados por el equipo investigador para la elaboración de otras bases de datos como la Base de Datos Histórica de la Sequía en España (https://monitordesequia.csic.es/historico), se ha obtenido una base de datos reticular del Índice de Aridez definido por el Programa de Naciones Unidas para el Medio Ambiente: (IA, mm / mm) como el cociente entre la precipitación (P, mm) y la evapotranspiración potencial (PET, mm): AI = P / PET. Utilizando la ETo (evapotranspiración de referencia), calculada mediante la ecuación Penman-Monteith de la FAO-56. Los datos de P y ETo se han obtenido de la Base de Datos Histórica de la Sequía en España (https://monitordesequia.csic.es/historico). Se han calculado tanto las series temporales como las climatologías de los periodos/subperiodos a escala temporal mensual, estacional y anual. Se ha considerado el periodo 1961-2020, de 60 años. Este marco temporal también se ha subdivido en dos periodos iguales de 30 años, conocidos como periodos normales: 1961-1990 y 1991-2020. Los datos están separados en dos grupos de archivos: uno para la España peninsular (incluidas las Islas Baleares) y otro para las Islas Canarias., Project I023: Analysis and monitoring of climatic aridity in Spain (ARIDESP), funded by Biodiversity Fundation of Spain, Recovery, Transformation and Resiliency Plan convocatory", climatic data in 42 netCDF files, No
Proyecto: //
DOI: http://hdl.handle.net/10261/357438, https://doi.org/10.20350/digitalCSIC/16265
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357438
HANDLE: http://hdl.handle.net/10261/357438, https://doi.org/10.20350/digitalCSIC/16265
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357438
PMID: http://hdl.handle.net/10261/357438, https://doi.org/10.20350/digitalCSIC/16265
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357438
Ver en: http://hdl.handle.net/10261/357438, https://doi.org/10.20350/digitalCSIC/16265
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357438
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357454
Dataset. 2024
TABLE_1_RARE EARTH ELEMENTS DISTRIBUTION IN THE GULF OF CÁDIZ (SW SPAIN): GEOGENIC VS. ANTHROPOGENIC INFLUENCE.DOCX
- Cobelo-García, A.
- Bernárdez, Patricia
- Mendoza-Segura, Clara
- González-Ortegón, Enrique
- Sánchez-Quiles, David
- Sánchez Leal, Ricardo
- Tovar-Sánchez, Antonio
Table_1_Rare earth elements distribution in the Gulf of Cádiz (SW Spain): geogenic vs. anthropogenic influence.docx, There is a current interest in the study of the geochemical behavior of the rare earth elements (REE) in aquatic systems since their identification as potential microcontaminants in natural waters. In this context, here we report the concentrations and patterns of dissolved REE (dREE) in the waters of the Gulf of Cádiz (GoC) and its major estuaries (Guadiana, Tinto-Odiel and Guadalquivir). Contamination in this area by metals has been extensively reported, linked to acid-mine inputs resulting from the mineralization of the Iberian Pyrite Belt, discharged mainly to the Tinto-Odiel river. However, the impact of these inputs on the concentrations and distribution of the dREE in the coastal waters of the GoC has not been addressed yet. Accordingly, elevated concentrations of dREE were obtained in the Tinto-Odiel estuary compared to the Guadiana and Guadalquivir, reflecting the impact of acid-mine drainage on this system. Only a significant fraction of anthropogenic gadolium (Gd) was observed in the Guadalquivir estuary, as a result of the input from major urban areas, where anthropogenic Gd fractions higher than 70% over the total dissolved pool were obtained for the freshwater end-member. Regarding the surface waters of the GoC, typical NE Atlantic distribution patterns of dREEs were obtained, but modified by two different end-members within this region. Accordingly, and despite the low water discharge of the Tinto-Odiel river, its elevated concentrations lead to an increase in the concentrations of dREEs in the nearshore waters of the GoC and producing a distinctive signature as observed for the MREE anomalies and HREE/LREE ratios. At the easternmost stations, close to the Strait of Gibraltar, these signals are also impacted by the inflow of Mediterranean waters and also by the discharge of the Guadalquivir river., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357454
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357454
HANDLE: http://hdl.handle.net/10261/357454
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357454
PMID: http://hdl.handle.net/10261/357454
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357454
Ver en: http://hdl.handle.net/10261/357454
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357454
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357463
Dataset. 2024
RESEARCH DATA SUPPORTING "FOOTPRINTS OF ATOMIC-SCALE FEATURES IN PLASMONIC NANOPARTICLES AS REVEALED BY ELECTRON ENERGY LOSS SPECTROSCOPY"
- Urbieta, Mattin
- Barbry, Marc
- Koval, Peter
- Rivacoba, Alberto
- Sánchez-Portal, Daniel
- Aizpurua, Javier
- Zabala, Nerea
The files contain the numerical data of the figures of the article "Footprints of atomic-scale features in plasmonic nanoparticles as revealed by Electron Energy Loss Spectroscopy" published in Physical Chemistry Chemical Physics (doi.org/10.1039/D4CP01034E) and written by Mattin Urbieta, Marc Barbry, Peter Koval, Alberto Rivacoba, Daniel Sánchez-Portal, Javier Aizpurua, and Nerea Zabala. The data files are organized in different folders and subfolders corresponding to each of the figures in the paper., Project No. PID2022-139579NB-I00 funded by MCIN/AEI/10.13039/501100011033 and ”ERDF A way of making Europe”; Basque Department of Education (Grant No. IT1526-22 and IT1569-22 and PhD Grant); Grants PID2019-107338RB-C66 and PID2022-140845OB-C66 funded by MCIN/AEI/10.13039/501100011033; Basque Department of Education; Departamento de Educación of the Basque Government through a PhD grant; Fellows Gipuzkoa program of the Gipuzkoako Foru Aldundia through the FEDER funding scheme of the European Union, “Una manera de hacer Europa”; DIPC, Euskampus and CFM;, Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/357463, https://doi.org/10.20350/digitalCSIC/16266
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357463
HANDLE: http://hdl.handle.net/10261/357463, https://doi.org/10.20350/digitalCSIC/16266
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357463
PMID: http://hdl.handle.net/10261/357463, https://doi.org/10.20350/digitalCSIC/16266
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357463
Ver en: http://hdl.handle.net/10261/357463, https://doi.org/10.20350/digitalCSIC/16266
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357463
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357489
Dataset. 2022
DATA AND CODE FOR ANALYSIS OF SPATIOTEMPORAL VARIATION IN TRAITS AND ENVIRONMENTAL VARIABLES IN EUROPEAN HOLE-NESTING PASSERINES
- Vriend, Stefan J. G.
- Grøtan, Vidar
- Gamelon, Marlène
- Adriaensen, Frank
- Ahola, Markus P.
- Álvarez, Elena
- Bailey, Liam D.
- Barba, Emilio
- Bouvier, Jean-Charles
- Burgess, Malcolm D.
- Bushuev, Andrey
- Camacho, Carlos
- Canal, David
- Charmantier, Anne
- Cole, Ella F.
- Cusimano, Camillo
- Doligez, Blandine F.
- Drobniak, Szymon M.
- Dubiec, Anna
- Eens, Marcel
- Eeva, Tapio
- Erikstad, Kjell Einar
- Ferns, Peter N.
- Goodenough, Anne E.
- Hartley, Ian R.
- Hinsley, Shelley A.
- Ivankina, Elena
- Juškaitis, Rimvydas
- Kempenaers, Bart
- Kerimov, Anvar B.
- Kålås, John Atle
- Lavigne, Claire
- Leivits, Agu
- Mainwaring, Mark C.
- Martínez-Padilla, Jesús
- Matthysen, Erik
- Oers, Kees van
- Orell, Markku
- Pinxten, Rianne
- Reiertsen, Tone Kristin
- Rytkönen, Seppo
- Senar, Juan Carlos
- Sheldon, Ben C.
- Sorace, Alberto
- Török, János
- Vatka, Emma
- Visser, Marcel E.
- Sæther, Bernt-Erik
Files: trait_data.csv – a comma-delimited file with population-specific annual fitness-related trait data. Traits included: laying date (LD, laying date of the first egg, where 1 = April 1st), clutch size (CS, number of eggs) and fledgling number (FN, number of nestlings 13-16 days after hatching). Annual values for these traits were based on data from individual broods that were not subjected to experimental manipulations (e.g. clutch size manipulation or cross-fostering). Fledgling numbers were based on broods with at least one fledgling.-- location_data.csv – a comma-delimited file with latitude and longitude (in decimal degrees) for all 44 locations.-- climate_data.csv – a comma-delimited file with location-specific annual climate data. Climate variables included: North Atlantic Oscillation (NAO) index, mean temperature (in degrees Celsius) and mean precipitation (in mm). For each climate variable, we give the average over daily values in February-May.-- data_information.csv – a comma-delimited file with a supplementary table on data owners and geographical information per location, study length per population, and sample sizes per trait, species, and location.-- analysis.R - an R file with code to run analyses of temporal variation in trait values, effects of climate variables on trait values, and spatial synchrony in trait values.-- Climate data sources: Daily NAO-indices were extracted from the Climate Prediction Center of the National Weather Service (https://www.cpc.ncep.noaa.gov).-- Daily mean temperature and mean precipitation were extracted from the E-OBS gridded dataset version 20.0e (Cornes et al. 2018, DOI: 10.1029/2017JD028200).-- Daily mean precipitation for Vlieland (Loc: VLI) was extracted from a Royal Dutch Meteorological Institute (KNMI) weather station (Oost-Vlieland; https://www.knmi.nl/nederland-nu/klimatologie/monv/reeksen).-- See README.docx for more detail., Annual trait data, location information, and climate data from 86 populations of blue tit (Cyanistes caeruleus, n = 31), great tit (Parus major, n = 35) and pied flycatcher (Ficedula hypoleuca, n = 20) across Europe.
R code for the analyses of temporal variation in trait values, effects of climate variables on trait values, and spatial synchrony in trait values., Centre for Biodiversity Dynamics (CBD): The Research Council of Norway, Multidimensional pen: quantitative genetics and phylogenetics comparative plumage of birds: National Science Center, The effect of steroid hormones on the parameters of genetic variation in wild bird populations: National Science Center, JCS was funded by project CGL-2020 PID2020-114907GB-C21., DC was supported by the Hungarian Academy of Sciences (MTA Premium Postdoctoral Research Program; ID: 2019-353)., JM-P was funded by ARAID and the Spanish Ministry of Education and Science (PID2019-104835GB-I00)., The Pirio and Rouvière field work was funded by the OSU-OREME., The Zvenigorod field work was supported by RSF-FWO (#20-44-01005)., MDB was supported by Natural England., ME and RP were funded by University of Antwerp and FWO Flanders., The Norwegian data is collected as part of a Terrestrial monitoring program financed by the Norwegian Environment Agency and the Ministry of Climate and Environment., BK was funded by the Max Planck Society., The Gotland field work was supported by the Swedish Research Council, the CNRS, and the Polish National Science Centre (UMO-2015/18/E/NZ8/00505, UMO-2012/07/D/NZ8/01317)., EB was funded by the Ministry of Science and Innovation (project PID2021-122171NB-I00)., SMD was funded by the DECRA fellowship (DE180100202)., Peer reviewed
DOI: http://hdl.handle.net/10261/357489
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357489
HANDLE: http://hdl.handle.net/10261/357489
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357489
PMID: http://hdl.handle.net/10261/357489
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357489
Ver en: http://hdl.handle.net/10261/357489
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357489
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357506
Dataset. 2023
SUPPLEMENTARY MATERIAL FOR MANUSCRIPT: CAN WE HAVE IT ALL? THE ROLE OF GRASSLAND CONSERVATION IN SUPPORTING FORAGE PRODUCTION AND PLANT DIVERSITY
- Kachler, Jana
- Benra, Felipe
- Bolliger, Ralph
- Isaac, Roman
- Bonn, Aletta
- Felipe Lucía, María
The file contains: Supplementary Information 1: Table 1. Data Description and Sources.-- Supplementary Information 2: Table 2. Results of invariance analysis of the model presented in the results section of the manuscript.-- Supplementary Information 3: Fig. 1. Data Distribution and Student’s t-Test by Protection Status.-- Supplementary Information 4: Fig. 2. Correlation Plots.-- Supplementary Information 5: Fig. 3.-- Supplementary Information 6: Fig. 4.-- Supplementary Information 7: Fig. 5. Results of SEM showing the linkages with land-use intensity for plots belonging to protected grasslands from all three regions.-- Supplementary Information 8: Fig. 6. Results of SEM showing the linkages with fertilising intensity as the land-use variable for a. protected plots and b. non-protected plots.-- Supplementary Information 9: Fig. 7. Results of SEM showing the linkages with mowing intensity as the land-use variable for a. protected plots and b. non-protected plots.-- Supplementary Information 10: Fig. 8. Results of SEM showing the linkages with grazing intensity as the land-use variable for a. protected plots and b. non-protected plots.-- Supplementary Information 11: List of most common species found in the studied plots (by abundance)., Peer reviewed
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DOI: http://hdl.handle.net/10261/357506
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357506
HANDLE: http://hdl.handle.net/10261/357506
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357506
PMID: http://hdl.handle.net/10261/357506
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357506
Ver en: http://hdl.handle.net/10261/357506
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/357506
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