cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10971164
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (2007_121-135)

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 ELITE surface longwave upward radiation (SLUR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016).

This is the ELITE SLUR product in 2007 (DOY: 121-135). Please click here to download the ELITE SLUR product in 2007 (DOY: 136-151).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-5-1 ~ 2007-5-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng, J., & Liang, S. (2016). Global estimates for high spatial resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 54, 4115-4129.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.15468/dl.5jrw3k
title: Occurrence Download

description: A dataset containing 17064 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lactarius blennius (Fr.) Fr.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17064 records from 225 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035121-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11215172
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_136-151)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 136-151). Please click here to download the ELITE SLDR product in 2007 (DOY: 152-166).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-5-16 ~ 2007-5-31

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215173
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_136-151)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 136-151). Please click here to download the ELITE SLDR product in 2007 (DOY: 152-166).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-5-16 ~ 2007-5-31

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215237
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_152-166)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 152-166). Please click here to download the ELITE SLDR product in 2007 (DOY: 167-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-6-1 ~ 2007-6-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215236
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_152-166)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 152-166). Please click here to download the ELITE SLDR product in 2007 (DOY: 167-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-6-1 ~ 2007-6-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215272
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_167-181)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 167-181). Please click here to download the ELITE SLDR product in 2007 (DOY: 182-196).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-6-16 ~ 2007-6-30

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215273
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_167-181)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 167-181). Please click here to download the ELITE SLDR product in 2007 (DOY: 182-196).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-6-16 ~ 2007-6-30

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215355
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_182-196)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 182-196). Please click here to download the ELITE SLDR product in 2007 (DOY: 197-212).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-7-1 ~ 2007-7-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.11215356
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_182-196)

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 ELITE surface longwave downward radiation (SLDR) product at 1km spatial resolution and 5-min temporal resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the Moderate Resolution Imaging Spectrometer (MODIS) data using the algorithms developed by Cheng et al. (2016), Cheng et al. (2017) and Yang and Cheng. (2020).

This is the ELITE SLDR product in 2007 (DOY: 182-196). Please click here to download the ELITE SLDR product in 2007 (DOY: 197-212).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-7-1 ~ 2007-7-15

Spatial Resolution: 1 km

Temporal Resolution: 5-min

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000


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



Cheng J, Liang S. Global estimates for high-spatial-resolution clear-sky land surface upwelling longwave radiation from MODIS data. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(7): 4115-4129.

Cheng J, Liang S, Wang W, et al. An efficient hybrid method for estimating clear‐sky surface downward longwave radiation from MODIS data. Journal of Geophysical Research: Atmospheres, 2017, 122(5): 2616-2630.

Yang F, Cheng J. A framework for estimating cloudy sky surface downward longwave radiation from the derived active and passive cloud property parameters. Remote Sensing of Environment, 2020, 248: 111972.


If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.25398/rd.northumbria.25887472
title: AI anxiety? Content creators’ hopes and fears about artificial intelligence

description: Users and regulators alike recognise the need for greater user input into AI developments, particularly when it comes to precarious workers who are often overlooked when technology changes are carried out at pace. In this study, we set out to ask content creators directly about how they think GenerativeAI may affect their industry. Our findings show that the combination of hopes and fears creators had about the use of GenAI in their work reflected its current precarity and unmanageable workload, which they hoped to automate. However, unlike most scoping research focusing on potential consequences of AI, our creators had a novel contribution to the field: the fact that speeding up and automating everything may lead to loss, not just of jobs or of creativity, which may become standardised once generated by AI, but also of the enjoyment of and time spent learning and creating for their chosen trade, which they started out of passion. This paper therefore centres creators’ experiences going against the industry standard of automating work and life, raising one main question: does AI really <i>have</i> to take over? And who is it for?