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                            "en": "Tabeshfar, Nelo, Anandakrishnan, Peräntie, Bai: Study on recycling of lead‐based piezoceramics using trimethylchloromethyl ammonium‐based halide perovskite binder",
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                            "en": "<jats:title>Abstract</jats:title><jats:p>Oxide‐halide perovskite upside‐down composites have been demonstrated for recycling heavy‐eco‐footprint piezoceramics. However, options for the binders are limited. As the binder significantly affects the electrical properties of the recycled materials, the available binder material pool needs to be expanded. This work explores the use of a halide perovskite compound, Me<jats:sub>3</jats:sub>NCH<jats:sub>2</jats:sub>ClCdCl<jats:sub>3</jats:sub> (TMCM‐CdCl<jats:sub>3</jats:sub>), as the binder to study the interplay between the filler's and binder's characteristics and its influence on electrical properties of the recycled piezoceramics. Two Pb‐containing ceramic fillers, Pb(Zr,Ti)O<jats:sub>3</jats:sub> and Pb(Mg<jats:sub>1/3</jats:sub>Nb<jats:sub>2/3</jats:sub>)O<jats:sub>3</jats:sub>‐PbTiO<jats:sub>3</jats:sub>, which possess distinct permittivity and Curie temperatures, are used in the study. A wide range of fabrication temperatures span the fillers’ and binder's phase transition and decomposition regions are involved. Results suggest that a coincidence of the filler's ferroelectric‐paraelectric phase transition with the binder's decomposition during fabrication can significantly degrade the composite's electrical properties due to the microstructural frustration among porosity increase, densification lag, and enlarged filler‐binder permittivity mismatch. This work has achieved the champion relative permittivity of ∼600 at 1 kHz and comparable piezoelectric responses (charge and voltage coefficients of ∼90 pC N<jats:sup>−1</jats:sup> and 31‐32 mVm N<jats:sup>−1</jats:sup>, respectively) among all the known upside‐down composites. These results advance the understanding of structure‐property correlations in upside‐down composites.</jats:p>",
                            "fi": "<jats:title>Abstract</jats:title><jats:p>Oxide‐halide perovskite upside‐down composites have been demonstrated for recycling heavy‐eco‐footprint piezoceramics. However, options for the binders are limited. As the binder significantly affects the electrical properties of the recycled materials, the available binder material pool needs to be expanded. This work explores the use of a halide perovskite compound, Me<jats:sub>3</jats:sub>NCH<jats:sub>2</jats:sub>ClCdCl<jats:sub>3</jats:sub> (TMCM‐CdCl<jats:sub>3</jats:sub>), as the binder to study the interplay between the filler's and binder's characteristics and its influence on electrical properties of the recycled piezoceramics. Two Pb‐containing ceramic fillers, Pb(Zr,Ti)O<jats:sub>3</jats:sub> and Pb(Mg<jats:sub>1/3</jats:sub>Nb<jats:sub>2/3</jats:sub>)O<jats:sub>3</jats:sub>‐PbTiO<jats:sub>3</jats:sub>, which possess distinct permittivity and Curie temperatures, are used in the study. A wide range of fabrication temperatures span the fillers’ and binder's phase transition and decomposition regions are involved. Results suggest that a coincidence of the filler's ferroelectric‐paraelectric phase transition with the binder's decomposition during fabrication can significantly degrade the composite's electrical properties due to the microstructural frustration among porosity increase, densification lag, and enlarged filler‐binder permittivity mismatch. This work has achieved the champion relative permittivity of ∼600 at 1 kHz and comparable piezoelectric responses (charge and voltage coefficients of ∼90 pC N<jats:sup>−1</jats:sup> and 31‐32 mVm N<jats:sup>−1</jats:sup>, respectively) among all the known upside‐down composites. These results advance the understanding of structure‐property correlations in upside‐down composites.</jats:p>",
                            "und": "<jats:title>Abstract</jats:title><jats:p>Oxide‐halide perovskite upside‐down composites have been demonstrated for recycling heavy‐eco‐footprint piezoceramics. However, options for the binders are limited. As the binder significantly affects the electrical properties of the recycled materials, the available binder material pool needs to be expanded. This work explores the use of a halide perovskite compound, Me<jats:sub>3</jats:sub>NCH<jats:sub>2</jats:sub>ClCdCl<jats:sub>3</jats:sub> (TMCM‐CdCl<jats:sub>3</jats:sub>), as the binder to study the interplay between the filler's and binder's characteristics and its influence on electrical properties of the recycled piezoceramics. Two Pb‐containing ceramic fillers, Pb(Zr,Ti)O<jats:sub>3</jats:sub> and Pb(Mg<jats:sub>1/3</jats:sub>Nb<jats:sub>2/3</jats:sub>)O<jats:sub>3</jats:sub>‐PbTiO<jats:sub>3</jats:sub>, which possess distinct permittivity and Curie temperatures, are used in the study. A wide range of fabrication temperatures span the fillers’ and binder's phase transition and decomposition regions are involved. Results suggest that a coincidence of the filler's ferroelectric‐paraelectric phase transition with the binder's decomposition during fabrication can significantly degrade the composite's electrical properties due to the microstructural frustration among porosity increase, densification lag, and enlarged filler‐binder permittivity mismatch. This work has achieved the champion relative permittivity of ∼600 at 1 kHz and comparable piezoelectric responses (charge and voltage coefficients of ∼90 pC N<jats:sup>−1</jats:sup> and 31‐32 mVm N<jats:sup>−1</jats:sup>, respectively) among all the known upside‐down composites. These results advance the understanding of structure‐property correlations in upside‐down composites.</jats:p>"
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                "en": "Contains measurement data of air temperature for the manuscript “Real-time measurements of micro-climatic temperature and relative humidity in the Finnish cities of Tampere and Helsinki” by Kühn et al. (in preparation) of 23 measurement stations in Tampere. \n\nTechnical Info: \n\nNB: Update on 2.6.2025: data file Tampere_202505.dat added and file Tampere_Table1_New.txt added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Tampere_Table1_New.txt during 07/2023-05/2025. Each measurement station consisted of three parts: a temperature and humidity sensor, a solar radiation shield, and an Internet of Things (IoT) device, which collected the measurement data and communicated them to a server via Long Range Wide Area Network (LoRaWAN). Temperature and relative humidity (RH) were measured by one integrated sensor, the Digital Matter I2C Temperature and Humidity Sensor [https://www.digitalmatter.com/wp-content/uploads/2020/09/I2C-Temperature-and-Humidity-Sensor-Datasheet.pdf] Within the sensor, the temperature and RH were measured using the Silicon Labs Si7021-A20 I2C Humidity and Temperature Sensor chip. The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%.  \n\nThe Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation. \n\nQuality check \nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Table 1.  have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).  \n\nTable Of Contents:  \n\nThe descriptions of the measurement stations are in Tampere_Table1_New.txt.  \nColumns \n1. Station_code \n2. Station_id \n3. latitude \n4. longitude \n5. elevation above mean se alevel (m) \n6. LCZ_global_point (LCZ at the grid point nearest to the measurement station) \n7. LCZ_global_r200 (Mode of the LCZs within a 200-meter radius around the measurement station) \n\nThe data (hourly Temperature) of each the measurements are in ASCII (tabulator as separator) files Tampere_YEAR.dat, with Celsius as Unit and missing value -999. \nColumns: \n1. Station_code \n2. Timestamp(YMDHH24) UTC \n3. Mean temperature of the previous hour \n4. Minimum temperature of the previous hour \n5. Maximum temperature of the previous hour \n6. Standard deviation of the temperature measurements during the previous hour  \n7. Number of measurements during the previous hour (usually 12) \n\nReferences: \nAalto, J., Pirinen, P., & Jylhä, K. (2016). New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651 \nStewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1 \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022. \nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. Zenodo. https://doi.org/10.5281/zenodo.6364593."
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                "en": "Contains measurement data of air temperature for the manuscript “Real-time measurements of micro-climatic temperature and relative humidity in the Finnish cities of Tampere and Helsinki” by Kühn et al. (in preparation) of 30 measurement stations in Helsinki.\n\nTechnical Info:\n\nNB:update on 2.6.2025: files Helsinki_202505.dat and Helsinki_Table1_New added.\n\nThe measurements were conducted at a height of 3 m in the locations listed in Helsinki_Table1_New.txt during 02/2025-05/2025. Each measurement station consisted of three parts: a temperature and humidity sensor, a solar radiation shield, and an Internet of Things (IoT) device, which collected the measurement data and communicated them to a server via Long Range Wide Area Network (LoRaWAN). Temperature and relative humidity (RH) were measured by one integrated sensor, the Digital Matter I2C Temperature and Humidity Sensor [https://www.digitalmatter.com/wp-content/uploads/2020/09/I2C-Temperature-and-Humidity-Sensor-Datasheet.pdf] Within the sensor, the temperature and RH were measured using the Silicon Labs Si7021-A20 I2C Humidity and Temperature Sensor chip. The chip is factory calibrated and has maximum operating ranges of 0% to 100% RH and -40°C to +125°C temperature. The measurement accuracy for temperature is maximum ±0.4°C if the ambient temperature is between -10°C and 85°C. The measurement accuracy of the chip is maximum ±3% RH if the ambient RH is between 0% and 80%.\n\nThe Temperature and Humidity Sensor was protected by a radiation shield to minimize the influence of direct sunlight and thermal radiation on the measurements. The radiation shield (height 11.5 cm, radius 14 cm) was made of white plastic and consisted of 9 ventilated plates stacked in a cylindrical design allowing for adequate airflow while shielding the sensor from external radiation.\n\nQuality check\nThe temperature data was quality checked using a multi-step procedure. First, values were screened based on long-term climatological daily minimum and maximum temperatures derived from 10 km × 10 km resolution gridded temperature data for the Tampere region (Aalto et al., 2016). Measurements falling clearly outside the climatological range were removed. Subsequently, remaining values were filtered based on statistical properties of the measurements, using median and median absolute deviation (MAD) over short time intervals to identify and remove outliers. A final threshold based on deviations from the local median was applied to exclude any remaining extreme values.\n\nThe Local Climate Zones (LCZs) in Helsinki_Table1_New. have been defined for each measurement station following the Global LCZ data (Demuzere 2022a, Demuzere, et al. 2022b) based on the Local Climate Zone (LCZ) Classification system by Stewart and Oke (2012).\n\nTable Of Contents:\n\nThe descriptions of the measurement stations are in Helsinki_Table1_New.txt.\nColumns\n1. Station_code\n2. Station_id\n3. latitude\n4. longitude\n5. elevation above mean se alevel (m)\n6. LCZ_global_point (LCZ at the grid point nearest to the measurement station)\n7. LCZ_global_r200 (Mode of the LCZs within a 200-meter radius around the measurement station)\n\nThe data (hourly Temperature) of each the measurements are in ASCII (tabulator as separator) files Helsinki_YEAR.dat, with Celsius as Unit and missing value -999.\nColumns:\n1. Station_code\n2. Timestamp(YMDHH24) UTC\n3. Mean temperature of the previous hour\n4. Minimum temperature of the previous hour\n5. Maximum temperature of the previous hour\n6. Standard deviation of the temperature measurements during the previous hour\n7. Number of measurements during the previous hour (usually 12)\n\nReferences:\nAalto, J., Pirinen, P., & Jylhä, K. (2016). New gridded daily climatology of Finland: Permutation-based uncertainty estimates and temporal trends in climate. Journal of Geophysical Research: Atmospheres, 121(8), 3807–3823. https://doi.org/10.1002/2015JD024651\nStewart ID, Oke TR. Local Climate Zones for Urban Temperature Studies. Bull Am Meteorol Soc. 2012;93(12):1879-1900. doi:10.1175/BAMS-D-11-00019.1\nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022a): A global map of local climate zones to support earth system modelling and urban-scale environmental science, Earth Syst. Sci. Data, 14, 3835-3873, https://doi.org/10.5194/essd-14-3835-2022.\nDemuzere, M., Kittner, J., Martilli, A., Mills, G., Moede, C., Stewart, I. D., van Vliet, J., and Bechtel, B. (2022b): Global map of Local Climate Zones. Zenodo. https://doi.org/10.5281/zenodo.6364593."
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