BUSCADOR RECOLECTA

Skeleton of Pan troglodytes 338.

This dataset contains raw data on bee populations and landscape characteristics collected in Catalonia during the years 2021 and 2022. It is associated with the manuscript "Past cover of mass flowering crops affects bee density, increases pollination effectiveness, and improves the oilseed rape yield in Mediterranean agricultural landscapes," submitted to Ecosphere.

Referencias completas, mapa conceptual y datos sintetizados en formato tabla de la revisión sistemática realizada sobre los estudios empíricos centrados en los factores etiológicos de los victimarios de violencia de género en la pareja.

Respuestas al cuestionario sobre vacunación contra la COVID-19 por parte de la población general y profesionales sanitarios. Esta información incluye datos sociodemográficos básicos de los enquestados, datos sobre su estado vacunal y, en las personas no vacunadas, datos sobre la reticencia vacunal.

The following dataset consists of pre-labeled multivariate time-series vectors collected from a firearm monitoring device. It includes data from a piezoelectric sensor, which captures vibrations generated by the firearm, and a photoelectric sensor, which measures the remaining number of rounds in the firearm's magazine. The labeled classes in the dataset represent typical firearm manipulations, including shots, reloads, and other related actions. The data was collected between March and May 2025 at the shooting training camp in Lleida by police instructors and specialized officers. The structure and format of the dataset are designed to support the training of deep learning algorithms for classifying event labels or extracting other metadata from the combined sensor data.

Abstract: A key factor in the widespread commercialization of perovskite solar cells (PSCs) is the need for comprehensive stability analysis, particularly under real-world outdoor conditions across diverse global locations. However, a simple and reliable encapsulation strategy for outdoor stability analysis that can be implemented at laboratory level is currently missing, hindering progress in the study of PSC lifetime. In this work, we present a simple and effective two-step encapsulation strategy to encapsulate laboratory-scale PSCs at room temperature applying commercial-available epoxies. We have examined 9 epoxies including single and bicomponent epoxies, as well as air-curing and UV-curing epoxies. The possible reaction of the epoxies with the perovskite film was monitored by means of XRD measurements, SEM imaging, FTIR and Raman spectroscopies, as well as via stability assessment of devices following ISOS protocols. The encapsulation method was analyzed in different types of PSCs, including normal n-i-p configuration applying Au and carbon electrodes, and inverted p-i-n configuration with Ag contacts. The devices, both in normal and inverted configurations, were also analysed at different locations (Spain, Israel, Germany) showing impressive stability under ISOS-O protocol demonstrating its viability for the analysis of lab-scale PSCs devices.

Observacions de temperatura de l’aigua de mar, salinitat i sigma-t, a diferents fondàries, al Cap de Creus.
Les dades recollides van, en períodes molt espaiats, de juny del 2019 a octubre del 2022.
Alhora, el període de recollida de les dades és irregular.
En complementació, hi ha mesures, a vegades, en dos punts diferents del mar a Cap de Creus (“Mar amunt” fa referència a Cap de Creus Nord i “Mar avall” fa referència a cap de Creus Est).
També tenim dies en els quals es fa una comparació entre dades obtingudes a Palamós i dades obtingudes a la zona de les Illes Medes, a L’Estartit (Municipi de Torroella de Montgrí – L’Estartit).
La unitat de mesura de fondària és el metre (m) i la unitat de mesura de la variable temperatura són graus centígrades (°C).
, Datos de temperaturas del agua de mar, salinidad y sigma-t, recogidos y calculados a distintas profundidades del Cap de Creus. Los datos recolectados van desde junio de 2019 hasta octubre del 2022.
Así mismo, el período de recogida de los datos es irregular y espaciado en el tiempo.
A veces, tenemos las mesuras de temperatura recogidas en dos puntos distintos del mar en Cap de Creus Creus (con la expresión “Mar amunt” nos referimos a Cap de Creus Norte i, con la expresión “Mar avall”, nos referimos a cap de Creus Este).
En algunos momentos, referenciamos datos obtenidos en el mar en la zona de las “Illes Medes”, situades en el pueblo de L'Estartit.
La unidad de medida de profundidad es metro (m) y la unidad de medida de la variable temperatura son grados centígrados (°C).
, Data on seawater temperatures, salinity and sigma-t, collected and calculated at different depths at Cap de Creus.
The data collected range from June 2019 to October 2022.
Likewise, the period of data collection is irregular and spaced in time.
Sometimes, we have the temperature measurements collected in two different points of the sea in Cap de Creus Creus (with the expression ‘Mar amunt’ we refer to Cap de Creus North and, with the expression ‘Mar avall’, we refer to Cap de Creus East).
At some points, we refer to data obtained at sea in the area of the ‘Illes Medes’, located in the town of L'Estartit.
The unit of measurement for depth is metre (m) and the unit of measurement for the temperature variable is degrees Celsius (°C).

Observacions de temperatura de l’aigua de mar, salinitat i sigma-t, a diferents fondàries, a Palamós.
Les dades recollides van, amb períodes molt espaiats, de setembre del 2020 a l’agost del 2021.
Alhora, el període de recollida de les dades és irregular.
En complementació, hi ha mesures, a vegades, en dos punts diferents del mar a Palamós.
També tenim dies en els quals s'afegeixen dades obtingudes al mar a la zona de L’Estartit.
La unitat de mesura de fondària és el metre (m) i la unitat de mesura de la variable temperatura són graus centígrades (°C).
, Datos de temperaturas del agua de mar, salinidad y sigma-t, recogidos y calculados a distintas profundidades, en Palamós.
Los datos recolectados van de septiembre de 2020 a agosto de 2021.
Así mismo, el período de recogida de los datos es irregular y espaciado en el tiempo.
A veces, tenemos las mesuras de temperatura recogidas en dos puntos distintos del mar en Palamós.
En algunos momentos, referenciamos datos obtenidos en el mar en la zona de L'Estartit.
La unidad de medida de profundidad es metro (m) y la unidad de medida de la variable temperatura son grados centígrados (°C).
, Data collection of seawater temperature, salinity and sigma-t, at different depths, in Palamós.
The collected data range from September 2020 to August 2021.
At the same time, the data collection period is irregular with widely spaced periods between them.
Normally, the measurements are taken in two different points of the sea in Palamós.
Some days additional data from water in Estartit are included.
The measurement unit used for depth is Meter (m) and for temperature is Celsius degrees (°C).

Several devices have been developed to assess exposure to radiofrequency electromagnetic field (RF-EMF). Since the existing solutions to measure the personal exposure induced by emerging 5G New Radio (NR) are expensive, complex, and bulky, a new cost efficient and low-complexity sensor is developed, that aims to measure RF-EMF exposure in different scenarios of data transmission within different areas. With this novel sensor, activity-based microenvironmental surveys were conducted across seven European countries: Belgium, Hungary, Italy, Poland, Switzerland, the Netherlands, and the United Kingdom. The device is attached to a smartphone to quantify the auto-induced uplink (a-UL) transmission component of the total exposure for a broadband frequency range from 100 MHz to 6000 MHz and is thus denoted as add-on sensor. In-situ measurements were performed for three usage scenarios, namely non-user (i.e., environmental exposure), maximum downlink (max DL), and maximum uplink (max UL) scenarios, in a large city, a secondary city, and three rural villages a priori selected within each country. Power levels were lowest in non-user scenarios (median: −2.64 dBm or 0.54 mW), increasing by a factor of 5.00 dB in maximum downlink scenarios and by a factor of 14.15 dB in maximum uplink scenarios. In the maximum uplink scenarios, the highest median a-UL power of 18.68 dBm (= 73.79 mW) was recorded in The Netherlands, while the lowest median a-UL power of 4.77 dBm (= 3 mW) was observed in the UK. The analysis of the measured data showed a prominent trend of a 2.72 dB lower power in the cities compared to the villages. Further comparisons were made based on microenvironment groups, where the lowest a-UL power levels (median: 12.35 dBm) were measured in outdoor areas, with an increase of 1.78 dB and 1.91 dB in power was measured compared to public transport and public places, respectively. This study compares RF-EMF power levels between different countries, urbanization settings, and usage scenarios, which is important for future epidemiological studies.

Recently, the monitoring of the radiofrequency electromagnetic field (RF-EMF) exposure induced by cellular networks has received a great deal of attention. In this work, a set of 70 microenvironments (MEs) located in urban and rural areas are selected in France under, on the one hand, the French Beyond5G project, and on the other hand, the 5G expOsure, causaL effects and rIsk perception through citizen engagement (GOLIAT) EU project. The purpose of this study is to assess the RF-EMF DL exposure in residential areas, downtowns, business areas, train stations, and public transport rides. For that, we employ the personal ExpoM-RF4 dosimeter placed inside a backpack to perform the measurements in different MEs. To take into consideration the effect of the presence of the human body near the dosimeter, we propose a correction approach that is mainly based on comparing the measurements given by ExpoM-RF4 to the ones provided by a reference system using the Tektronix real-time spectrum analyzer (RTSA) far from the body. Then, we use metrics, such as the quadratic mean, standard deviation, and median of the electric (E) field to carry out a comparative study between different MEs with different RF bands. It was found that the RF-EMF exposure levels for all MEs are well below the maximum allowable exposure limit prescribed by the International Commission on Non-Ionizing Radiation Protection (ICNIRP). In addition, we perform clustering analyses using the K-Means technique to group the MEs with comparable exposure levels. The results show that the exposure level is low, but generally higher in MEs located in Paris than in the other considered areas (i.e., Massy and three villages, namely Igny, Bures-sur-Yvette and Gif-Sur-Yvette). For example, we observe that outdoor MEs can be grouped into three clusters, where the average total E fields (ATEFs) are 0.77 V/m, 0.35 V/m, and 0.08 V/m for the MEs belonging to the first, second and third clusters, respectively. Note that the first cluster here mainly contains the MEs located in Paris. This can be explained by the important number of antennas deployed in that area to serve the huge amount of users. We also observe few locations with exceptions confirming the presence of heterogeneous environments in the vicinity of some areas. For instance, three MEs in Paris among fifteen have an exposure level similar to Massy MEs in outdoor areas. The clustering of MEs located in transport station, and moving transport also show similar results. Finally,
we see that the ATEF in a shopping center and a university in Paris have the highest exposure values comparing to others located in Massy and villages. This also due to the considerable number of deployed antennas in Paris.