BUSCADOR RECOLECTA

This is the dataset used for the analysis in Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes, by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus. Copyright © 2017 John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus. Dataset for Article: "Citizen Science Provides a Reliable and Scalable Tool to Track Disease-Carrying Mosquitoes" by John R.B. Palmer, Aitana Oltra, Francisco Collantes, Juan Antonio Delgado, Javier Lucientes, Sarah Delacour, Mikel Bengoa, Roger Eritja, and Frederic Bartumeus is licensed under a Creative Commons Attribution 4.0 International License., Peer reviewed

This is the dataset used for the analysis in the article Hitchhiking Mosquitoes: Direct Evidence of Adult Aedes albopictus Dispersal by Car, by Roger Eritja, John R.B. Palmer, David Roiz, Isis Sanpera-Calbet, and Frederic Bartumeus., Peer reviewed

We present a climatic dataset acquired at Izas Experimental Catchment, in the Central Spanish Pyrenees, from 2011 to 2017 snow seasons. The dataset includes information on different meteorological variables acquired with an Automatic Weather Station including precipitation, air temperature, incoming and reflected short and long-wave radiation, relative humidity, wind speed and direction, atmospheric air pressure, surface temperature (snow or soil surface) and soil temperature; all of them at 10 minute intervals. Snow depth distribution was measured during 23 field campaigns using a Terrestrial Laser Scanner (TLS), and there are also available time-lapse photographs from which can be derived daily information of different variables such as the Snow Covered Area. The experimental site is located in the southern side of the Pyrenees between 2000 and 2300 m above sea level with an extension of 55 ha. The site is a good example of sub-alpine ambient of mid-latitude mountain ranges. Thus, the dataset has a great potential for understanding environmental processes from a hydrometerological or ecological perspective in which snow dynamics play a determinant role., Peer reviewed

Experimental details and methods, relevant properties of fatty acids, DSC data, additional GIXRD data, additional Raman cross-sectional data, Raman histograms of component fit analysis, MIC values, and additional fluorescence microscopy images., Peer reviewed

Figure S1. Monomer solution characterization. Figure S2. Dye J-aggregates characterization. Figure S3. J-band evolution with NaCl concentration and time. Figure S4. Bright field image of a J-aggregates solution. Figure S5. JC1 J-aggregates in CTAB: (a) absorbance spectra evolution of J-aggregates response after NaCl add. The rise of the J-band (b) shows how the maxima progress with time. Figure S6. AuBPs in CTAB 1 mM and J-aggregates interaction. Figure S7. J-aggregates response in solution and deposited on a glass substrate. Figure S8. Plexcitonic system absorbance response in solution and from a deposited layer. Table S1. Estimated lifetimes of monomer and J-aggregates dye. Table S2. Estimated lifetimes of hybrid systems and their corresponding coefficients. Figure S9. Used light spectrum from the G2V pico solar simulator., Peer reviewed

The dataset analysed during the study incl. metadata, AMF OTU & taxonomy table., Peer reviewed

The dataset analysed during the study incl. metadata, AMF OTU & taxonomy table., Peer reviewed

The dataset analysed during the study incl. metadata, AMF OTU & taxonomy table., Peer reviewed

The dataset analysed during the study incl. metadata., Peer reviewed

Verification of the accuracy of the ML FF, charge density distribution of the band edge states, energy level evolution in the AIMD trajectories, atom distribution of entire GB models in the MLMD trajectories, evolution of energy gaps and structural descriptors (i.e., CNPb–Br and dPb–Pb) in the MLMD trajectories (raw data and moving average), and structural information on GB models before and after optimization., Peer reviewed