cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10672051
title: ELITE land surface temperature: FY-4A/AGRI hourly 4km seamless LST (2019)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 4 km LST dataset covering the FY-4A/AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W).  First, an improved temperature and emissivity separation algorithm was used to obtain the clear-sky LST. Then, under the framework of the SEB theory, a unique way was proposed to solve the temperature difference between the cloudy-sky LST and hypothetical clear-sky LST caused by cloud radiative effects. The in situ validation results show that the bias (RMSE) of the AGRI hourly seamless LST is 0.02 K (2.84 K). The temporal resolution and spatial resolution of this dataset are 1 hour and 4 km, respectively.

This is the ELITE FY-4A/AGRI seamless LST product in 2019. Please click here  to download the ELITE LST product in 2020.

Dataset Characteristics:



Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)

Temporal Coverage: 2019

Spatial Resolution: 4 km (subsatellite point)

Temporal Resolution: one hour

Data Format: HDF

Scale: 0.01


Citation (Please cite these papers when using the data):



Liu, W., Cheng, J. & Wang, Q. (2023). Estimating Hourly All-Weather Land Surface Temperature From FY-4A/AGRI Imagery Using the Surface Energy Balance Theory. IEEE Transactions on Geoscience and Remote Sensing, 61, 5001518


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8378353
title: ELITE land surface temperature: FY-4A/AGRI hourly 4km seamless LST (2021)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 4 km LST dataset covering the FY-4A/AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W).  First, an improved temperature and emissivity separation algorithm was used to obtain the clear-sky LST. Then, under the framework of the SEB theory, a unique way was proposed to solve the temperature difference between the cloudy-sky LST and hypothetical clear-sky LST caused by cloud radiative effects. The in situ validation results show that the bias (RMSE) of the AGRI hourly seamless LST is 0.02 K (2.84 K). The temporal resolution and spatial resolution of this dataset are 1 hour and 4 km, respectively.

This is the ELITE FY-4A/AGRI seamless LST product in 2021. Please click here to download the ELITE LST product in 2020 and click here to download the ELITE LST product in 2022.

Dataset Characteristics:



Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)

Temporal Coverage: 2021

Spatial Resolution: 4 km (subsatellite point)

Temporal Resolution: one hour

Data Format: HDF

Scale: 0.01


Citation (Please cite these papers when using the data):



Liu, W., Cheng, J. & Wang, Q. (2023). Estimating Hourly All-Weather Land Surface Temperature From FY-4A/AGRI Imagery Using the Surface Energy Balance Theory. IEEE Transactions on Geoscience and Remote Sensing, 61, 5001518


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8378354
title: ELITE land surface temperature: FY-4A/AGRI hourly 4km seamless LST (2021)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 4 km LST dataset covering the FY-4A/AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W).  First, an improved temperature and emissivity separation algorithm was used to obtain the clear-sky LST. Then, under the framework of the SEB theory, a unique way was proposed to solve the temperature difference between the cloudy-sky LST and hypothetical clear-sky LST caused by cloud radiative effects. The in situ validation results show that the bias (RMSE) of the AGRI hourly seamless LST is 0.02 K (2.84 K). The temporal resolution and spatial resolution of this dataset are 1 hour and 4 km, respectively.

This is the ELITE FY-4A/AGRI seamless LST product in 2021. Please click here to download the ELITE LST product in 2020 and click here to download the ELITE LST product in 2022.

Dataset Characteristics:



Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)

Temporal Coverage: 2021

Spatial Resolution: 4 km (subsatellite point)

Temporal Resolution: one hour

Data Format: HDF

Scale: 0.01


Citation (Please cite these papers when using the data):



Liu, W., Cheng, J. & Wang, Q. (2023). Estimating Hourly All-Weather Land Surface Temperature From FY-4A/AGRI Imagery Using the Surface Energy Balance Theory. IEEE Transactions on Geoscience and Remote Sensing, 61, 5001518


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.10595575
title: ELITE land surface temperature: FY-4A/AGRI hourly 4km seamless LST (2022)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 4 km LST dataset covering the FY-4A/AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W).  First, an improved temperature and emissivity separation algorithm was used to obtain the clear-sky LST. Then, under the framework of the SEB theory, a unique way was proposed to solve the temperature difference between the cloudy-sky LST and hypothetical clear-sky LST caused by cloud radiative effects. The in situ validation results show that the bias (RMSE) of the AGRI hourly seamless LST is 0.02 K (2.84 K). The temporal resolution and spatial resolution of this dataset are 1 hour and 4 km, respectively.

This is the ELITE FY-4A/AGRI seamless LST product in 2022. Please click here to download the ELITE LST product in 2021 and click here to download the ELITE LST product in 2023.

Dataset Characteristics:



Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)

Temporal Coverage: 2022

Spatial Resolution: 4 km (subsatellite point)

Temporal Resolution: one hour

Data Format: HDF

Scale: 0.01


Citation (Please cite these papers when using the data):



Liu, W., Cheng, J. & Wang, Q. (2023). Estimating Hourly All-Weather Land Surface Temperature From FY-4A/AGRI Imagery Using the Surface Energy Balance Theory. IEEE Transactions on Geoscience and Remote Sensing, 61, 5001518


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.10595576
title: ELITE land surface temperature: FY-4A/AGRI hourly 4km seamless LST (2022)

description: The Essential thermaL Infrared remoTe sEnsing (ELITE) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth's radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn).

This dataset is the ELITE hourly seamless 4 km LST dataset covering the FY-4A/AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W).  First, an improved temperature and emissivity separation algorithm was used to obtain the clear-sky LST. Then, under the framework of the SEB theory, a unique way was proposed to solve the temperature difference between the cloudy-sky LST and hypothetical clear-sky LST caused by cloud radiative effects. The in situ validation results show that the bias (RMSE) of the AGRI hourly seamless LST is 0.02 K (2.84 K). The temporal resolution and spatial resolution of this dataset are 1 hour and 4 km, respectively.

This is the ELITE FY-4A/AGRI seamless LST product in 2022. Please click here to download the ELITE LST product in 2021 and click here to download the ELITE LST product in 2023.

Dataset Characteristics:



Spatial Coverage: AGRI nominal fixed disc (80.6°N-80.6°S, 24.1°E-174.7°W)

Temporal Coverage: 2022

Spatial Resolution: 4 km (subsatellite point)

Temporal Resolution: one hour

Data Format: HDF

Scale: 0.01


Citation (Please cite these papers when using the data):



Liu, W., Cheng, J. & Wang, Q. (2023). Estimating Hourly All-Weather Land Surface Temperature From FY-4A/AGRI Imagery Using the Surface Energy Balance Theory. IEEE Transactions on Geoscience and Remote Sensing, 61, 5001518


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.10673898
title: Fosteriny Young Children Geometry

description: Data of the submitted manuscript
DOI: 10.5281/zenodo.10673899
title: Fosteriny Young Children Geometry

description: Data of the submitted manuscript
DOI: 10.5281/zenodo.10673896
title: THE ESSENCE OF THE LEARNING PROCESS AND ITS COMPONENTS

description: Annotatsiya. Hozirgi vaqtda fan juda tez rivojlanmoqda va uning yangi tarmoqlari paydo bo‘lmoqda, tabiat va jamiyat haqidagi g‘oyalar, tushunchalar paydo bo‘lmoqda. Bularning barchasi talabalarning ilmiy bilimlarida o‘z aksini topishi kerak. O‘quvchilar bilimiga qo‘yiladigan muhim talablardan biri bilimlarni tizimlashtirishdir. Talabalar tomonidan o‘zlashtiriladigan bilimlar o‘zaro bog‘langan, aniq mantiqiy tuzilishga va izchillikka ega bo‘lishi kerak.

Kalit so‘zlar: bilim, borliq, hodisa, og‘zaki nutq, kasbiy tahlil, tahlil, metod, tahlil, o‘qituvchi mahorati.

Аннотация. В наше время наука очень быстро развивается и возникают новые ее отрасли, возникают идеи и представления о природе и обществе. Все это должно найти отражение в научных знаниях студентов. Одним из важных требований к знаниям учащихся является систематизация знаний. Знания, которые предстоит освоить студентам, должны быть взаимосвязаны, иметь четкую логическую структуру и последовательность.

Ключевые слова: знание, бытие, событие, устная речь, профессиональный анализ, анализ, метод, анализ, мастерство учителя.

Abstract. Nowadays, science is growing very fast and new branches of it are emerging, ideas and concepts about nature and society are emerging. All this should be reflected in the scientific knowledge of students. One of the important requirements for the knowledge of students is the systematization of knowledge. The knowledge to be mastered by students should be interconnected, have a clear logical structure and consistency.

Keywords: knowledge, being, event, oral speech, professional analysis, analysis, method, analysis, teacher skills.
DOI: 10.5281/zenodo.10673897
title: THE ESSENCE OF THE LEARNING PROCESS AND ITS COMPONENTS

description: Annotatsiya. Hozirgi vaqtda fan juda tez rivojlanmoqda va uning yangi tarmoqlari paydo bo‘lmoqda, tabiat va jamiyat haqidagi g‘oyalar, tushunchalar paydo bo‘lmoqda. Bularning barchasi talabalarning ilmiy bilimlarida o‘z aksini topishi kerak. O‘quvchilar bilimiga qo‘yiladigan muhim talablardan biri bilimlarni tizimlashtirishdir. Talabalar tomonidan o‘zlashtiriladigan bilimlar o‘zaro bog‘langan, aniq mantiqiy tuzilishga va izchillikka ega bo‘lishi kerak.

Kalit so‘zlar: bilim, borliq, hodisa, og‘zaki nutq, kasbiy tahlil, tahlil, metod, tahlil, o‘qituvchi mahorati.

Аннотация. В наше время наука очень быстро развивается и возникают новые ее отрасли, возникают идеи и представления о природе и обществе. Все это должно найти отражение в научных знаниях студентов. Одним из важных требований к знаниям учащихся является систематизация знаний. Знания, которые предстоит освоить студентам, должны быть взаимосвязаны, иметь четкую логическую структуру и последовательность.

Ключевые слова: знание, бытие, событие, устная речь, профессиональный анализ, анализ, метод, анализ, мастерство учителя.

Abstract. Nowadays, science is growing very fast and new branches of it are emerging, ideas and concepts about nature and society are emerging. All this should be reflected in the scientific knowledge of students. One of the important requirements for the knowledge of students is the systematization of knowledge. The knowledge to be mastered by students should be interconnected, have a clear logical structure and consistency.

Keywords: knowledge, being, event, oral speech, professional analysis, analysis, method, analysis, teacher skills.
DOI: 10.5281/zenodo.10673933
title: ИССЛЕДОВАНИЕ ЛЕКСИЧЕСКОГО И СЕМАНТИЧЕСКОГО СОДЕРЖАНИЯ ПРИЛАГАТЕЛЬНЫХ В ОПИСАНИИ АТМОСФЕРНЫХ ЯВЛЕНИЙ

description: Abstract. Language serves as a powerful lens through which we interpret and communicate our experiences, including the ever-changing phenomenon of weather. This article conducts a thorough lexic-semantic analysis of weather adjectives, exploring their nuances, cultural implications, and cognitive dimensions. By investigating the semantic fields, usage patterns, and emotional connotations of these adjectives, we aim to uncover the intricate relationship between language and the perception of weather.

Keywords: lexic-semantic analysis, weather adjectives, linguistic analysis, cultural influence, cognitive linguistics, semantics, weather description, emotional perception, lexical fields, meteorological linguistics.

Annotatsiya. Ushbu maqola ob-havo sifatlarini chuqur leksik-semantik tahlil qiladi, ularning nuanslarini, madaniy ta’sirini va kognitiv o‘lchovlarini o‘rganadi. Ushbu sifatlarning semantik sohalari, qo‘llanish shakllari va hissiy ma‘nolarini o‘rganish orqali biz til va ob-havoni idrok etish o‘rtasidagi murakkab munosabatni ochib berishni maqsad qilganmiz.

Kalit so‘zlar: leksik-semantik tahlil, ob-havo sifatlari, lingvistik tahlil, madaniy ta’sir, kognitiv lingvistika, semantika, ob-havo tavsifi, hissiy idrok, leksik maydonlar, meteorologik lingvistika.

Аннотация. Язык служит мощным инструментом, через который мы интерпретируем и обмениваемся своими впечатлениями, включая постоянно меняющийся феномен погоды. В данной статье проводится тщательный лексико-семантический анализ прилагательных, используемых для описания погоды, исследуются их нюансы, культурное влияния и когнитивные аспекты. Исследование семантических полей, паттернов использования и эмоциональных подтекстов этих прилагательных направлено на выявление сложных взаимосвязей между языком и восприятием погоды. 

Ключевые слова: лексико-семантический анализ, прилагательные погоды, лингвистический анализ, культурное влияние, когнитивная лингвистика, семантика, описание погоды, эмоциональное восприятие, лексические поля, метеорологическая лингвистика.
DOI: 10.5281/zenodo.10673934
title: ИССЛЕДОВАНИЕ ЛЕКСИЧЕСКОГО И СЕМАНТИЧЕСКОГО СОДЕРЖАНИЯ ПРИЛАГАТЕЛЬНЫХ В ОПИСАНИИ АТМОСФЕРНЫХ ЯВЛЕНИЙ

description: Abstract. Language serves as a powerful lens through which we interpret and communicate our experiences, including the ever-changing phenomenon of weather. This article conducts a thorough lexic-semantic analysis of weather adjectives, exploring their nuances, cultural implications, and cognitive dimensions. By investigating the semantic fields, usage patterns, and emotional connotations of these adjectives, we aim to uncover the intricate relationship between language and the perception of weather.

Keywords: lexic-semantic analysis, weather adjectives, linguistic analysis, cultural influence, cognitive linguistics, semantics, weather description, emotional perception, lexical fields, meteorological linguistics.

Annotatsiya. Ushbu maqola ob-havo sifatlarini chuqur leksik-semantik tahlil qiladi, ularning nuanslarini, madaniy ta’sirini va kognitiv o‘lchovlarini o‘rganadi. Ushbu sifatlarning semantik sohalari, qo‘llanish shakllari va hissiy ma‘nolarini o‘rganish orqali biz til va ob-havoni idrok etish o‘rtasidagi murakkab munosabatni ochib berishni maqsad qilganmiz.

Kalit so‘zlar: leksik-semantik tahlil, ob-havo sifatlari, lingvistik tahlil, madaniy ta’sir, kognitiv lingvistika, semantika, ob-havo tavsifi, hissiy idrok, leksik maydonlar, meteorologik lingvistika.

Аннотация. Язык служит мощным инструментом, через который мы интерпретируем и обмениваемся своими впечатлениями, включая постоянно меняющийся феномен погоды. В данной статье проводится тщательный лексико-семантический анализ прилагательных, используемых для описания погоды, исследуются их нюансы, культурное влияния и когнитивные аспекты. Исследование семантических полей, паттернов использования и эмоциональных подтекстов этих прилагательных направлено на выявление сложных взаимосвязей между языком и восприятием погоды. 

Ключевые слова: лексико-семантический анализ, прилагательные погоды, лингвистический анализ, культурное влияние, когнитивная лингвистика, семантика, описание погоды, эмоциональное восприятие, лексические поля, метеорологическая лингвистика.
DOI: 10.5281/zenodo.10553508
title: LCA Battery SimuPlat Dataset

description: Under the carbon neutrality targets and sustainable development goals, springing up and emergingly increasing needs on batteries are in buildings and electric vehicles (EVs). However, embodied carbon in raw materials, manufacture and assembling processes impose dialectical viewpoints on whether electrochemical battery is environmentally. In this article, a multi-energy district community with energy paradigm transformations towards decentralisation, renewable and sustainability has been studied, with multi-directional V2X interaction and lifecycle battery circular economy. General approaches are proposed to quantify the lifecycle carbon intensity of batteries, including both embodied carbon and carbon emission in sophisticated operating stages. Afterwards, the approach is generalized and scalable to quantify the lifecycle battery carbon intensity within zero-energy communities. Pathways for zero-carbon transformation are proposed to guide the economic feasibility on energy, social and governance investment behaviours. Results show that lifecycle zero-carbon battery can be achieved under: 1) energy paradigm shifting from the net-zero towards the positive; 2) V2B/B2V interaction; 3) EV battery cascade utilization; 4) battery circular economy, with sustainability and economic benefits in various climate regions. This study proposes a general approach for lifecycle battery carbon intensity quantification, and scales down the approach across the world for sustainable pathways transition on zero-carbon batteries and carbon-neutral communities.
DOI: 10.5281/zenodo.10553509
title: LCA Battery SimuPlat Dataset

description: Under the carbon neutrality targets and sustainable development goals, springing up and emergingly increasing needs on batteries are in buildings and electric vehicles (EVs). However, embodied carbon in raw materials, manufacture and assembling processes impose dialectical viewpoints on whether electrochemical battery is environmentally. In this article, a multi-energy district community with energy paradigm transformations towards decentralisation, renewable and sustainability has been studied, with multi-directional V2X interaction and lifecycle battery circular economy. General approaches are proposed to quantify the lifecycle carbon intensity of batteries, including both embodied carbon and carbon emission in sophisticated operating stages. Afterwards, the approach is generalized and scalable to quantify the lifecycle battery carbon intensity within zero-energy communities. Pathways for zero-carbon transformation are proposed to guide the economic feasibility on energy, social and governance investment behaviours. Results show that lifecycle zero-carbon battery can be achieved under: 1) energy paradigm shifting from the net-zero towards the positive; 2) V2B/B2V interaction; 3) EV battery cascade utilization; 4) battery circular economy, with sustainability and economic benefits in various climate regions. This study proposes a general approach for lifecycle battery carbon intensity quantification, and scales down the approach across the world for sustainable pathways transition on zero-carbon batteries and carbon-neutral communities.