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opencc-by-sa-4.0Apr 2024View details →

Temperature and Humidity in vulnerable neighborhoods in Madrid summer 2022 - summer 2023

Data collection (temperature and humidity) in neighborhoods identified with vulnerability indicators in the context of the MateMAD project. The data has been collected by MonitorMAD team (UPM) through the installation of fixed sensors on streetlight poles in the city of Madrid. The monitored neighborhoods are: - Centro - Delicias - Palos de la Frontera - Legazpi - Orcasitas - San Cristóbal - San Diego - Orcasur The monitoring campaign took place from August 2022 to October 2023 and the equipment installation follows the recommendations of World Meteorological Organization WMO.  The equipments used for monitoring are from TandD Corporation, model RTR503BL. Due to exposure to outdoor conditions, the sensor has been protected by an insulated cade and self-ventilated through a photovoltaic-powered extractor. Weather data logging is programmed every 10 minutes, and the data is collected monthly. Furthermore, the data has been grouped by sensor reference. The temperature has been collected in degrees Celsius (accuracy ±0.3°C), and the relative humidity in percentage (accuracy ±5%RH at 25°C, 50%RH). Source of cartographic base:  <ul> <li>Ayuntamiento de Madrid. (s. f.). Cartografía municipal por distritos a escala 1:1000, formato SHP, ETRS89 [Map]. Urbanismo e infraestructuras. Downloaded 30 de enero de 2023, de <a href="https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=a4f36d34fa86c410VgnVCM2000000c205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD">https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=a4f36d34fa86c410VgnVCM2000000c205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD</a></li> <li>Sede Electrónica del Catastro. (s. f.). Difusión de datos catastrales [Map]. Sede Electrónica del Catastro. Downloaded 30 de abril de 2023, de <a href="https://www.sedecatastro.gob.es/Accesos/SECAccDescargaDatos.aspx">https://www.sedecatastro.gob.es/Accesos/SECAccDescargaDatos.aspx</a></li> </ul>

Figure 1 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest

Figure 1. Map of the RPPN Foz do Rio Aguapeí and location of the six studied areas in the RPPN Foz do Rio Aguapeí. Legend: (1) Lagoa São Gabriel; (2) Lagoa das Piranhas; (3) Lagoa dos Porcos; (4) Constructed wetland; (5) Aguapei river –; and (6) Lagoa da sede. Sources: CESP (2013) and Google Earth (2021).

Figure 2 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest

Figure 2. Cumulative curve of the 52 waterfowl bird species in the RPPN Foz do Rio Aguapeí showing stability from sample 27 to 31.

Figure 3 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest

Figure 3. NMDS (stress of 0.097) of the spatial distribution of the aquatic bird community recorded by the transect method in the lagoons of the RPPN Foz do Aguapeí, during the dry (rounded symbols) and rainy seasons (square symbols). Legend: LS = Lagoa da Sede; LSG = Lagoa São Gabriel; LP = Lagoa da Piranha and LPO = Lagoa dos Porcos.

opencc-by-4.0Apr 2024View details →

Fig. 4 in High temperatures and low humidity promote the occurrence of microsporidians (Microsporidia) in mosquitoes (Culicidae)

Fig. 4 Occurrence of microsporidian species found in total (All), male and female mosquitoes collected during the cold and warm months. Comparative statistics are presented in Additional file 1: Tables S12 and S13

opencc-by-4.0Apr 2024View details →

Fig. 3 in High temperatures and low humidity promote the occurrence of microsporidians (Microsporidia) in mosquitoes (Culicidae)

Fig. 3 Raincloud plots (i.e. combined violin plots, box plots and dot plots) for the contribution of infected mosquitoes relative to cold or warm months: a for the mosquito pool without dividing into females and males and b separately for females and males, collected in cold (blue) and warm (red) months. The dot plots show the proportion of infected mosquitoes (jittered horizontally). Each dot is the individual proportion of a particular species with a particular sex in a single month. The box plots show the extremes (whisker tails), interquartile range (box boundaries) and median (horizontal line). The violin plots show the probability density of the data. Symbols (asterisks or 'ns') indicate Bonferroni p-value (B) and Holm p-value (H) (B/H). Double asterisks (**) indicate statistical significance at p <0.01; ns, no statistical significance

Fig. 4 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology

Fig. 4. Survival rate (lx) and specific fertility (mx) of Sipha maydis on different host plants in Brazil.

Fig 3 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology

Fig 3. (A) Effects of average air temperature (°C) on occurrence of winged Sipha maydis in yellow tray traps. (B) Average estimated (red dot) occurrence probability of winged S. maydis per wk (shaded areas indicate the 95% confidence interval).

Fig. 2 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology

Fig. 2. Method to evaluate life history of Sipha maydis (Passerini, 1860) on different hosts. (A) Detail of the clip cage containing the nymphs attached to the leaf. (B) Overview of plants growing in pots with the cages containing the nymphs attached to the leaves.

Fig. 1 in Sipha maydis (Hemiptera: Aphididae) in the humid subtropical region of Brazil: distribution, seasonality and biology

Fig. 1. Map of Sipha maydis (Passerini, 1860) distribution in Brazil. Shaded area enclosed by blue squares indicates plant sampling area. Black dots indicate the places with occurrence of Sipha maydis. Red star indicates winged aphid monitoring area using yellow tray traps.

Figure 4 in Composition and spatio-temporal dynamics of aquatic bird community in humid areas of Alto Parana Atlantic Forest

Figure 4. NMDS (stress of 0.001) of the spatial distribution of the aquatic bird community recorded by the transect method in the lotic environments of the RPPN Foz do Aguapeí, during the dry (rounded symbols) and rainy seasons (square symbols). Legend: AR = Aguapeí River and CW = Constructed wetland.

opencc-by-4.0Apr 2024View details →

Fig. 2 in High temperatures and low humidity promote the occurrence of microsporidians (Microsporidia) in mosquitoes (Culicidae)

Fig. 2 Correlation plots between microsporidian DNA-positive mosquitoes and a temperature (°C), b humidity (%), c wind (m/s) and d rainfall (mm). The R value indicates the Pearson's correlation coefficient statistic, the p value is statistically significant, the shadowed area shows the 95% confidence interval, and the black line is the regression line. The month and year of the data points are indicated according to the legend at the bottom

opencc-by-nc-4.0Jul 2021View details →

Hourly intra-urban temperature and relative humidity for Madrid

Description: This dataset contains intra-urban dry-bulb temperature and relative humidity measurements collected within the city of Madrid. This data was collected during the MODIFICA Project (2014-2017) and beyond, which aimed to investigate the impacts of urban heat on the buildings' energy performance. Methodology: The data collection followed the methodology detailed in <a href="https://doi.org/10.1016/j.uclim.2021.100921">this paper</a>. Briefly, 20 temperature and humidity sensors were deployed in Madrid's municipal area within the urban canopy layer. The sensors were protected using an aspirated radiation shield, and data were recorded every 30 minutes. All the metadata associated with the location of the sensors in included in the aforementioned paper. Data Structure: <ul> <li>Location ID: Identifier for the location where data were collected.</li> <li>Timestamp [Datetime]: Date and time of the measurement.</li> <li>Temperature (°C) [TEMP_IDXX]: Recorded temperature in degrees Celsius.</li> <li>Relative Humidity (%) [HR_IDXX]: Recorded relative humidity as a percentage.</li> </ul> Usage Notes: The dataset is suitable for studies on urban climate patterns, environmental monitoring, and related fields. The data here included is the raw data. No QC procedures nor gap filling techniques were applied to this dataset. Users should refer to the methodology section in the associated paper for detailed procedures and data handling practices. Funding and Acknowledgments: This research was funded by the FPU research grant FPU15/05052, from the Spanish Ministry of Science, Innovation and Universities. This research was also supported by the MODIFICA research project (BIA2013–41732-R), funded by the Spanish Ministry of Economy and Competitiveness. The authors would like to extend their gratitude to Luis Tejero Encinas and Juan Azcárate Luxán, from the Madrid City Council’ Subdivision of Energy and Climate Change, for their support with the urban measurements campaign. Citation: When using this dataset, please cite the following paper: Núñez-Peiró, M., Sánchez-Guevara Sánchez, C., & Neila González, F. J. (2021). Hourly evolution of intra-urban temperature variability across the local climate zones. The case of Madrid. Urban Climate, 39, 100921. <a href="https://doi.org/10.1016/j.uclim.2021.100921">https://doi.org/10.1016/j.uclim.2021.100921</a> Contact Information: For further inquiries, please contact Miguel Núñez-Peiró at miguel.nunez@upm.es.

opencc-by-4.0Sep 2017View details →

Fig. 1 in Infection of Anastrepha ludens (Diptera: Tephritidae) adults during emergence from soil treated with Beauveria bassiana under various texture, humidity, and temperature conditions

Fig. 1. Adult mortality of Anastrepha ludens infected with different concentrations of Beauveria bassiana conidia, afer emerging from treated soil. Different letters indicate significant differences among treatments based on 1-way ANOVA followed by the Tukey Honest Significant Difference test, P <0.05).

opencc-by-4.0Jan 2015View details →

Fig. 4 in Ground beetles (Coleoptera: Carabidae) from the region of Cape Emine (Central Bulgarian Black sea coast). Part I. Taxonomic and zoogeographic structure, life forms, habitat and humidity preferences

Fig. 4. Proportions of the subclasses of life forms in the carabid complex (I – class Zoophaga, II – class Mixophytophaga).

Fig. 3 in Effect of humidity on fecundity and egg incubation of Frankliniella bispinosa and Frankliniella occidentalis (Thysanoptera: Thripidae)

Fig. 3. Mean daily fecundity (± SE) of Frankliniella bispinosa and F. occidentalis for data pooled across time intervals in laboratory experiments at constant 23 °C and 4 relative humidity levels. Means with the same letter are not significantly different according to ANOVA and subsequent Tukey's HSD test (α = 0.05).

Fig. 2 in Effect of humidity on fecundity and egg incubation of Frankliniella bispinosa and Frankliniella occidentalis (Thysanoptera: Thripidae)

Fig. 2. Mean fecundity (± SE) per female of Frankliniella occidentalis at 12 h intervals in laboratory experiments at constant 23 °C and 4 relative humidity levels.

Fig. 1 in Effect of humidity on fecundity and egg incubation of Frankliniella bispinosa and Frankliniella occidentalis (Thysanoptera: Thripidae)

Fig. 1. Mean fecundity (± SE) per female of Frankliniella bispinosa at 12 h intervals in laboratory experiments at constant 23 °C and 4 relative humidity levels.

Fig. 4 in Effect of humidity on fecundity and egg incubation of Frankliniella bispinosa and Frankliniella occidentalis (Thysanoptera: Thripidae)

Fig. 4. Mean time of egg hatch (± SE) for Frankliniella bispinosa and F. occidentalis in laboratory experiments at constant 23 °C and 4 relative humidity levels. Means with the same letter are not significantly different according to ANOVA and subsequent Tukey's HSD test (α = 0.05).