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Replication Data for: Single-Atom Iron on Silicon Carbide Surfaces as Catalyst of Fischer-Tropsch-Type Reactions in Astrophysical Environments
No full textThis dataset contains all data generated during the study titled "Fischer-Tropsch Catalysis of Fe13 Nanoclusters on SiO2 Surfaces in Outer Space: A Quantum Mechanical Study." It includes computational results, input files, and methodological details used in the research. The dataset aims to ensure transparency, facilitate reproducibility, and provide access to the computational methods employed. By making this data available, researchers can verify the findings and apply the methodologies to similar studies in astrochemistry and catalysis
Replication Data for: Spatiotemporal Exciton Tracking with a SPAD Camera
No full textThe SPAD camera,47 as shown in Figure 2a, is a multipurposesingle-photon counting image sensor that utilizes a 32 × 64array of 30 μm diameter SPADs arranged in a 150 μm pitchsquare grid. Each pixel includes the necessary digitalelectronics for photon counting and features a very low noiselevel of 100 cps. Additionally, a microlens array optimizes thecollection efficiency, achieving a fill factor of up to 80% andhigh photon detection efficiency in the visible region, with amaximum of about 50% at around 410 nm. Three integratedcounters within each pixel can be enabled within a user-definedtemporal window (gate signal). By using two gate pulsesslightly shifted in time, a time resolution better than 200 ps canbe achieved by simply computing the difference between thetwo counters, effectively isolating the photons detected withinthe specific time interval defined by the shift. Because eachpixel has separate counters, we need to account for variationsin the gate pulse arrival time. In Figure 2b, we show thedifference in arrival time across the chip, which can be an up to300 ps delay between the opposite edges. This variation mustbe corrected to retrieve the full 200 ps time resolution whenperforming spatiotemporal measurements (Figure 2b, inset).The optical setup is depicted in Figure 2c. Basically, it can beunderstood as an inverted wide-field fluorescence microscope,with the only difference being that a transmission mask isplaced one focal length away of lens L in the excitation path,which is imaged on the sample. By changing this mask we caneasily switch from a diffraction-limited point excitation (using a20 μm pinhole) to a high frequency sine-like excitation (byusing a 20 lines/mm amplitude diffraction grating), asrepresented in Figure 2d. This allows the achievement ofdifferent super-resolution strategies (as we will discuss later) inthe same setup and in a very convenient manner.A high NA (1.4, oil immersion) microscope objective is usedboth to excite and to collect the photoluminescence from thesample. A 90/10 (T/R) beamsplitter is used to separate theexcitation and detection paths instead of the more traditionaldichroic mirror in order to achieve high sample (wavelength)flexibility. A microscopy tube lens (Thorlabs TTL200-A) isused to generate an image of the sample on an intermediateplane. Because of the large pixel pitch of the SPAD array, anadditional telescope is required to achieve the requiredmagnification. For this purpose, a 10x (Olympus NA 0.25)microscope objective was used together with a 600 mmachromat lens, leading to an overall magnification of 2000x oran equivalent pixel size in the sample of 75 nm. As anillumination source, a supercontinuum laser (NKT PhotonicsSuperK Extreme) is used. A 5 nm bandpass filter is used toselect the desired excitation wavelength. Figure 2e representsthe pulse scheme used in the experiment. An electronic triggerpulse is obtained from the laser controller, which is then fed toan adaptive computing board (Red Pitaya, STEMlab 125-14),in charge of generating the two gate pulses. By electronically scanning these two delay pulses, a full movie can be obtained,showing the spatiotemporal dynamics of our sample. Noticethat the camera design circumvents the need for beam-scanning optics, typically required in conventional setups.Instead, it captures spatiotemporal data across the entire regionof interest simultaneously, providing a major advantage inspeed and greatly simplifying the experimental setup, which iscompletely free of moving part
Índice de Calidad Ambiental para la ciudad de Montevideo, Uruguay.
No full textEste conjunto de datos corresponde al Índice de Calidad Ambiental (EQI) y sus 5 subíndices (contaminación ambiental, exposición a riesgos, impactos sobre la salud, calidad del hábitat y disponibilidad de espacios verdes) desarrollados para la ciudad de Montevideo (Uruguay) con el objetivo de evaluar la justicia ambiental de la ciudad. El dataset contiene dos ficheros espaciales que corresponden al índice generado según dos escalas diferentes (segmento censal y barrio). Además del resultado final de los índices, el dataset contiene los datos de las variables normalizadas utilizadas para su construcción
Potential available energy storage capacity of irrigation reservoirs in Catalunya
No full textEn aquest dataset trobareu sistemes de reg de basses que podrien ser viables per a emmagatzemar energia en forma d'energia potencial i les seves característiques energètiques. Els sistemes analitzats prenen aigua del riu Ebre i alguns dels seus afluents: Cinca, Segre, Set, Matarraña, Montsant i Siurana, així com del Canal d'Aragó i Catalunya.
En este dataset encontraréis sistemas de riego de reservorios que podrian ser viables para almacenar energia en forma de energia potencial y sus características energéticas.
Los sistemas analizados toman agua del río Ebro y algunos de sus afluentes: Cinca, Segre, Set, Matarraña, Montsant y Siurana, así como del Canal de Aragón y Catalunya.
In this dataset you will find reservoir-based irrigation systems that could be suitable for potential energy storage and their energetic characteristics.
The systems take water from rivers Ebre and some of its main tributaries Cinca, Segre, Set, Matarraña, Montsant and Siurana as well as from Canal d’Aragó i Catalunya</p
Replication Data for: Ecostack WP4 weed sampling
No full textThis dataset represents the raw data analyzed for the article titled "Wheat mixtures as an effective option for weed management in organic farming " submitted in Weed Research. The data was gathered from the Gallecs peri-urban agricultural area during the 2019-2020 and 2020-2021 seasons. It contains information of the weed cover, final weed biomass, wheat establishment, wheat cover, wheat height, final wheat biomass and final number of tillers measured during the two sampling seasons
Ceramic passive samplers evaluation
No full textCalibration parameters of the three materials tested in the ceramic passive samplers.
The data include parameters for Sampling rate, diffussion and partition constant for the three materials tested with a total of 9 files. This data is included for the 22 pharmaceuticals studie
Análisis Antracológico De Las Muestras De Una Estructura De Combustión De Un Silo Del Yacimiento De "La Peineta" (Línea 7, Tramo I, Madrid)
No full textAnthracological data from the site of wood samples from La Peineta (Línea 7, Madrid). The attached data comes from the charcoal analyses from a Bronze age combustion structure from La Peineta site
Replication data for "RFID-based Soil Moisture Sensor for Smart Agriculture: a Gaussian Mixture Model Approach"
No full textLaboratory measurements of passive Ultra-High-Frequency (UHF) RFID (Radiofrequency Identification) tags under several test conditions. The associated publication provides more information on the test set up. All file names include a timestamp (if applicable), the used tag name (to consult the respective datasheet), the channel frequency, the distance between the antenna and the tag, the obstacle (if applicable), and the transmission power (if applicable)
Replication Data for: Quantum noise in a squeezed-light-enhanced multiparameter quantum sensor
No full textThe repository contains raw data used to generate figures 2 and 4 in the article 'Quantum noise in a squeezed-light-enhanced multiparameter quantum sensor'
Replication Data for: Small-scale farming in drylands: New models for resilient practices of millet and sorghum cultivation
No full textThis repository contains the primary research data and R code used for data analysis for the article "Small-scale farming in drylands: New models for resilient practices of millet and sorghum cultivation" Published in the journal PLOS ONE (https://doi.org/10.1371/journal.pone.0268120)
N.B. To run the code unzip the folder 9-RData.zip and save it in the same working directory as the datasets
V 2.0 changes:
A. Datasets 1-2-3 - small formatting corrections
B. Dataset 7 - fixing some errors in the calculations
C. Code - minor fixes and seimplicifactio