Resultados totales (Incluyendo duplicados): 34416
Encontrada(s) 3442 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220216
Dataset. 2020

GPS TRACKS OF BURROWING OWLS IN LA PAMPA, ARGENTINA

  • Rodríguez, Airam
  • Maiten Orozco-Valor, Paula
  • Sarasola, José H.
Variables Description Ring Number of the ring of the GPS-tracked burrowing owl DateTimeUTC Date and time in dd/mm/yyyy hh:mm:ss (UTC) Latitude Latitude in decimal degrees Longitude Longitude in decimal degrees Altitude Altitude (in meters) taken from the GPS data logger Code Day or Night Airam Rodríguez (airamrguez@ebd.csic.es; airamrguez@gmail.com), José Hernán Sarasola (sarasola@exactas.unlpam.edu.ar), 18 burrowing owls were tagged with GPS-data loggers (Catnip Technologies, USA) on Teflon harnesses as back mounts. The original case of GPS data-loggers was removed, and batteries were replaced by smaller rechargeable ones (100-150 mAh). Loggers were put in a heat-shrink tube for waterproofing. The final size was 25 × 43 × 10 mm and weights ranged between 12.8 and 16.4 g. GPS data-loggers were programmed with two settings: 1) loggers recording a position per minute until battery flat; and 2) loggers recording a position per minute during the night, while switched off during daylight hours (from 11:00 to 20:00 or from 8:00 to 17:00 UTC). Loggers started to log data the night following capture. All data loggers were operative at the moment of recapture or recovery, but two of them failed to provide useful data, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/220216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220216
HANDLE: http://hdl.handle.net/10261/220216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220216
PMID: http://hdl.handle.net/10261/220216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220216
Ver en: http://hdl.handle.net/10261/220216
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220216

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220248
Dataset. 2020

A DATABASE OF NEOTROPICAL DUNG BEETLE LOCAL RICHNESS FROM STANDARDIZED INVENTORIES

  • Pessôa, Marcelo Bruno
  • Alves-Martins, Fernanda
  • De Marco Jr, Paulo
  • Hortal, Joaquín
This work provides open access to the data compiled for the following paper Marcelo Bruno Pessôa, Fernanda Alves-Martins, Paulo De Marco Junior and Joaquín Hortal. Unveiling the drivers of local dung beetle species richness in the Neotropics, Journal of Biogeography 2021. See the original paper for more details., This database is based on a survey of published literature on dung beetle communities to extract information on species richness, abundance, type of bait, type of habitat, and sampling effort (as hours/pitfall) for different localities, discarding sites with low sampling effort. We used environmental variables to account for six possible explanations of species richness gradients: productivity, water–energy, ambient energy, habitat heterogeneity, resource heterogeneity, and seasonality, as well as spatial data to account for other geographically-structured phenomena. In total the database contains data for 300 localities., This work was supported by the projects ‘Predicting diversity variations across scales through process-based models linking community ecology and biogeography’ (CNPq PVE 314523/2014-6), and SCENIC - ‘Scaling the effects of niche and interaction dynamics on the ecological and evolutionary outcomes of coexistence’ (PID2019-106840GB-C21, funded by AEI/FEDER, UE). MBP was supported by CAPES grants PROEX-0487 and 88881.135489/2016-01, and FAM by CAPES Postdoctoral scholarship 120147/2016-01. PDMJ research is funded by CNPq (grant 308694/2015-5). This paper is a contribution of the INCT in Ecology, Evolution and Biodiversity Conservation founded by MCTIC/CNPq/FAPEG (grant 465610/2014-5)., Contains: 1. Excel file with Data, Database Legend, Data Origin, and Consulted Literature., Peer reviewed

DOI: http://hdl.handle.net/10261/220248
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220248
HANDLE: http://hdl.handle.net/10261/220248
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220248
PMID: http://hdl.handle.net/10261/220248
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220248
Ver en: http://hdl.handle.net/10261/220248
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220248

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220495
Dataset. 2020

THE SUITABILITY OF NATIVE FLOWERS AS POLLEN SOURCES FOR CHRYSOPERLA LUCASINA (NEUROPTERA: CHRYSOPIDAE) [DATASET]

  • Alcalá Herrera, Rafael
  • Fernández-Sierra, María Luisa
  • Ruano Díaz, Francisca
The dataset reports 1) Information about the sown native plant species in which was collected, sampling date and chrysopid specimens (id, taxonomical identification and sex). 2) Presence or absence of the different pollen types identified in C. lucasina adults. 3) The pollen type most frequently identified in the alimentary canal of C. lucasina adults. 4) Presence or absence of the pollen of Biscutella auriculata and Capsella bursa-pastoris plant species. 5) Fungal spore identified on C. lucasina adults: Alternaria sp., Cladosporium sp., Spore1 sp. and Spore2 sp.). 6) Percentage of the alimentary canal occupied by the pollen in each alimentary canal segments, Here we provide data on the alimentary canal contents of Chrysoperla lucasina (Lacroix, 1936) specimens by transparency method. The 109 C. lucasina specimens were collected using an InsectaZooka aspirator in the experimental farm in 2016/2017. The dataset contains 52 columns (=variables) and 109 lines (=cases). Results were published in PLOS ONE journal [in press]., Junta de Andalucía (proyecto P12-AGR-1419) y Consejo Superior de Investigaciones Científicas proyecto intramural (proyecto 201840E055), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/220495
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220495
HANDLE: http://hdl.handle.net/10261/220495
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220495
PMID: http://hdl.handle.net/10261/220495
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220495
Ver en: http://hdl.handle.net/10261/220495
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220495

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220615
Dataset. 2020

A STATE-SPACE MODEL TO DERIVE MOTORBOAT NOISE EFFECTS ON FISH MOVEMENT FROM ACOUSTIC TRACKING DATA

  • Barceló-Serra, Margarida
  • Cabanellas, Sebastià
  • Palmer, Miquel
  • Bolgan, Marta
  • Alós, Josep
(Rscript.R): R-script for estimating the effects of boat noise on fish movement from the detection pattern provided by a fixed array of acoustic receivers (input.RData): Example of input data for the Rscript.R (AllData): Folder containing all data (receiver detections by individual) used in our work, The datasets are suplementary materials for the article "A State-Space model to derive motorboat noise effects on fish movement from acoustic tracking data". Motorboat noise is recognized as a major source of marine pollution, however little is known about its ecological consequences on coastal systems. We developed a State Space Model (SSM) that incorporates an explicit dependency on motorboat noise to derive its effects on the movement of resident fish that transition between two behavioural states (swimming vs. hidden). To explore the performance of our model, we carried out an experiment where free-living Serranus scriba were tracked with acoustic tags, while motorboat noise was simultaneously recorded. We fitted the generated tracking and noise data into our SSM and explored if the noise generated by motorboats passing at close range affected the movement pattern and the probability of transition between the two states using a Bayesian approach. Our results suggest high among individual variability in movement pattern and transition between states, as well as in fish response to the presence of passing motorboats. These findings suggest that the effects of motorboat noise on fish movement are complex and require the precise monitoring of large numbers of individuals. Our SSM provides a methodology to address such complexity and can be used for future investigations to study the effects of noise pollution on marine fish., Marie S. Curie postdoctoral fellowship: WildFishGenes-891404 (Margarida Barcelo-Serra) Contrato postdoctoral Ramón y Cajal: RYC2018-024488-I (Josep Alós) Proyecto investigación: JSATS (grant num. PIE 202030E002) funded by the Spanish Ministry of Science and Innovation (MICINN), and the Spanish National Research Council Proyecto investigación: CLOCKS (grant num. PID2019-104940GA-I00) funded by the Spanish Ministry of Science and Innovation (MICINN), No

DOI: http://hdl.handle.net/10261/220615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220615
HANDLE: http://hdl.handle.net/10261/220615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220615
PMID: http://hdl.handle.net/10261/220615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220615
Ver en: http://hdl.handle.net/10261/220615
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220615

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220771
Dataset. 2020

PLEISTOCENE GLACIAL CYCLES AS DRIVERS OF ALLOPATRIC DIFFERENTIATION IN ARCTIC SHOREBIRDS

  • Arcones, Ángel
  • Ponti, Raquel
  • Ferrer, Xavier
  • Vieites, David R.
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/220771
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220771
HANDLE: http://hdl.handle.net/10261/220771
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220771
PMID: http://hdl.handle.net/10261/220771
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220771
Ver en: http://hdl.handle.net/10261/220771
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220771

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220930
Dataset. 2020

WEEKLY RECONSTRUCTION OF PH AND TOTAL ALKALINITY IN AN UPWELLING-DOMINATED COASTAL ECOSYSTEM: THE CASE OF RÍA DE VIGO (NW SPAIN) BETWEEN 1992 AND 2019 (DISCUSSIONS VERSION)

  • Broullón, Daniel
  • Pérez, Fiz F.
  • Doval, M. Dolores
The item is made of 6 files: 1) README.txt; 2) INTECMAR_NN-database.csv: Dataset containing all the input variables used compute the time series of AT and pH as well as these two computed variables; 3) Training_database.xlsx: Dataset containing the data to train and test the neural networks; 4) pH_NN.mat is the neural network object used to compute the pH time series; 5) AT_NN.mat is the neural network object used to compute the total alkalinity time series; 6) Source_code.rar contains the MATLAB files to configure, train and validate the neural networks created in this study, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026) and Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER), No

DOI: http://hdl.handle.net/10261/220930
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220930
HANDLE: http://hdl.handle.net/10261/220930
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220930
PMID: http://hdl.handle.net/10261/220930
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220930
Ver en: http://hdl.handle.net/10261/220930
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220930

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220989
Dataset. 2020

DEEP HIGH RESOLUTION SEISMIC REFLECTION PROFILE IBERSEIS NI: MIGRATED AND STACK FILES

  • Pérez-Estaún, Andrés
  • Simancas, José Fernando
  • González Lodeiro, Francisco
  • Ayarza, P.
  • Azor, Antonio
  • Juhlin, C.
  • Sáez, R.
  • Almodóvar, G. R.
  • Carbonell, Ramón
IBERSEIS-NI raw data: http://dx.doi.org/10.20350/digitalCSIC/9016 ; http://hdl.handle.net/10261/193954, This is an update of the IBERSEIS Normal Incidence dataset (http://hdl.handle.net/10261/193954). The current version includes the migrated and stack files of the raw data of the IBERSEIS-NI profile., Comisión Interministerial de Ciencia y Tecnología-Fondo Europeo de Desarrollo Regional (CICYT-FEDER), 1FD1997-2179/RYEN1.-- Junta de Andalucía.-- ENRESA.-- Swedish Research Council.-- Instituto Geológico y Minero de España.-- Spanish Ministry of Science and Technology, BTE2000-0583-C02-01, BTE2000-3035-E, BTE2000-1490-C02-01, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/220989
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220989
HANDLE: http://hdl.handle.net/10261/220989
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220989
PMID: http://hdl.handle.net/10261/220989
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220989
Ver en: http://hdl.handle.net/10261/220989
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/220989

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221014
Dataset. 2020

ENDOZOOCORIA POR GAVIOTAS Y CIGÜEÑAS DE LA MISMA COMUNIDAD DE PLANTAS SIN FRUTO CARNOSO

  • Martín-Vélez, Víctor
  • Lovas-Kiss, Ádám
  • Sánchez, Marta I.
  • Green, Andy J.
The comparison of plants dispersed by endozoochory between two migratory waterbirds (gulls and storks) within the Doñana ricefields showed no community differences between species. From 21 plant taxa, eight plant species were considered weeds, four alien species and only two fleshy fruit. Endozoochory by migratory waterbirds has major implications for plant distributions in a rapidly changing world, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/221014
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221014
HANDLE: http://hdl.handle.net/10261/221014
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221014
PMID: http://hdl.handle.net/10261/221014
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221014
Ver en: http://hdl.handle.net/10261/221014
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221014

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221038
Dataset. 2020

[DATASET] SOURCES AND SEASONAL CHANGES OF POLYCHLORO- DIBENZOFURANS AND DIBENZO-P-DIOXINS (PCDD/FS) IN AMBIENT AIR AND SOILS OF AN URBAN NEIGHBORHOOD CONTAINING AN INTEGRATED WASTE MANAGEMENT FACILITY (METROPOLITAN AREA OF BARCELONA)

  • Grimalt, Joan O.
Congener composition of polychlorodibenzo-p-dioxins and polychlorodibenzofurans in the Metropolitan Area of Barcelona, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/221038
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221038
HANDLE: http://hdl.handle.net/10261/221038
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221038
PMID: http://hdl.handle.net/10261/221038
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221038
Ver en: http://hdl.handle.net/10261/221038
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221038

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221111
Dataset. 2020

[DATASET] DATA FOR THE ANALYTICAL SOLUTION TO ASSESS THE INDUCED SEISMICITY POTENTIAL OF FAULTS IN PRESSURIZED AND DEPLETED RESERVOIRS

  • Wu, Haiqing
  • Vilarrasa, Víctor
  • De Simone, Silvia
  • Saaltink, Maarten
  • Parisio, Francesco
This dataset is composed of two folders: one for the programing codes of the analytical solution and another one for the input files of the numerical models for simulating the stress variation due to reservoir pressurization or depletion as well as the assessment of fault stability and induced seismicity potential of faults. The folder “AnalyticalSolutionCode_ASISP” includes all the programing modules in Python that are needed for performing the analytical solution for both permeable and impermeable faults. The three subfolders are automatically generated by Python to build the virtual environment for running the codes. The names of the code files and the description of the programing code are: - “All_Parameters”: includes all the needed parameters for reservoir geometry and rock properties - “L0_Surface_Integral”: includes the surface integral of the Green’s function for stress - “L0_Surface_Integral_FaultPlane”: includes the surface integral of the Green’s function for stress on the special fault plane - “L1_Delta_Pressure_Interval”: describes the sub interval of pore pressure change for different cases - “L1_Stress_D”: includes the dimensionless stress variation in the whole domain - “L1_Stress_D_FaultPlane”: includes the dimensionless stress variation on the special fault plane - “L2_CFS”: includes the equations for Coulomb Failure Stress (CFS) - “L2_Stress_transformation_formula”: includes the stress transformation formula with axes rotation - “main1_ContourPlot”: this is the main program for generating the contour plot of stress changes in the whole domain - “main1_SI”: this is the main program for generating the line diagram of stress changes in specific lines - “main2_CFSPlot this is the main program for generating the CFS plot in different cases - “main3_FSPPlot”: this is the main program for generating the plot of fault slip potential in different cases - “myfigure”: includes all the figure styles applied to generate the above plots - “sigma_imp_CB”: the excel file that includes the results exported from the CODE_BRIGHT (CB) for an impermeable fault - “sigma_per_CB”: the excel file that includes the results exported from the CODE_BRIGHT (CB) for a permeable fault - “NOTES”: includes some notes for running the codes. For running the codes, one should start from the main programing codes. The input files of each numerical simulation are included in the folder “CODE_BRIGHT_InputFiles”. The names of the subfolders and the description of the model are: - “C1_InclinedPermeableFault”: simulation of stress variations caused by pore pressure buildup for an inclined permeable fault due to reservoir pressurization - “C2_InclinedImpermeableFault”: simulation of stress variations caused by pore pressure buildup for an inclined impermeable fault due to reservoir pressurization. Each subfolder includes a file with the name of the folder and ended as “_gen.dat” that contains the input data of the model, including material properties, initial and boundary conditions and the time intervals. There is also a file ended as “_gri.dat” that includes the information on the mesh. The “root.dat” includes the name of the model. To run simulations, just execute the Code_Bright executable “Cb_v9_0_1.exe” in the folder that contains the three input files and the executable., This dataset is composed of two folders: one for the programing codes of the analytical solution and another one for the input files of the numerical models for simulating the stress variation due to reservoir pressurization or depletion as well as the assessment of fault stability and induced seismicity potential of faults., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/221111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221111
HANDLE: http://hdl.handle.net/10261/221111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221111
PMID: http://hdl.handle.net/10261/221111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221111
Ver en: http://hdl.handle.net/10261/221111
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/221111

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