cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/stwb-3c59
title: SnapQuake: Damage Detection in Snapchat Videos for Earthquake Assessment

description: Designing practical algorithms for damage detection in satellite images requires a substantial and well-labeled dataset for training, validation, and testing. In this paper, we collect GAZADeepDav: a high-resolution PlanetScope satellite imagery dataset with 7264 tiles for no damage and 6196 tiles for damage . This work is delving into the steps of collecting the dataset, Geotagging and employing deep learning architectures to distinguish damage in war zones while also providing valuable insights for researchers undertaking similar tasks in real-world applications. The experimental results on this dataset, using SqueezeNet architecture, yielded an impressive 98.95\%  accuracy in classifying damage. The study also explored augmenting SqueezeNet with Bidirectional Long Short-Term Memory (BiLSTM) layers, resulting in a heightened accuracy of 99.10\%. The combination of SqueezeNet and BiLSTM exemplifies the potential for advanced model architectures to enhance damage classification accuracy further.
DOI: 10.5281/zenodo.10968915
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (2007_213-227)

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: 213-227). Please click here to download the ELITE SLUR product in 2007 (DOY: 228-244).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-8-1 ~ 2007-8-15

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: 10.5281/zenodo.10969225
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (2007_244-258)

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: 244-258). Please click here to download the ELITE SLUR product in 2007 (DOY: 259-273).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-9-1 ~ 2007-9-15

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.3hnyze
title: Occurrence Download

description: A dataset containing 4160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crypsis schoenoides (L.) Lam."
 ]
}

 The dataset includes 4160 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035117-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.22f77n
title: Occurrence Download

description: A dataset containing 9988 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lactarius pubescens Fr.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9988 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035116-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25392/leicester.data.25872340
title: Digital diary entries: Higher Risk/Minimal-Mild Depression group

description: The Positive Adaptation to Compound Risk project was funded by the British Academy’s Humanities and Social Sciences Tackling Global Challenges scheme. The goal of the project was to contribute to our understanding of which resilience-enabling factors impact depression outcomes differentially (that is, have greater or lesser protective value) for young people at lower and higher levels of risk exposure, or how consistent these factors might be over time. The project engaged with 57 young people aged 18-26 living in eMbalenhle, South Africa. Each participant contributed 10 weeks of digital diary entries between July and November 2021, and was interviewed 3 times (June 2021, December 2021, June 2022). The digital diary entries for participants living in Higher Risk contexts are contained in this resource.
DOI: 10.25392/leicester.data.25872340.v1
title: Digital diary entries: Higher Risk/Minimal-Mild Depression group

description: The Positive Adaptation to Compound Risk project was funded by the British Academy’s Humanities and Social Sciences Tackling Global Challenges scheme. The goal of the project was to contribute to our understanding of which resilience-enabling factors impact depression outcomes differentially (that is, have greater or lesser protective value) for young people at lower and higher levels of risk exposure, or how consistent these factors might be over time. The project engaged with 57 young people aged 18-26 living in eMbalenhle, South Africa. Each participant contributed 10 weeks of digital diary entries between July and November 2021, and was interviewed 3 times (June 2021, December 2021, June 2022). The digital diary entries for participants living in Higher Risk contexts are contained in this resource.
DOI: 10.5281/zenodo.10971929
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (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 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: 182-196). Please click here to download the ELITE SLUR 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. (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: 10.5281/zenodo.10971930
title: ELITE SLWR: global 1km 5-min SLUR at SIN Grid-Terra (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 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: 182-196). Please click here to download the ELITE SLUR 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. (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: 10.25392/leicester.data.25872424
title: Digital diary entries: Lower Risk/Minimal-Mild Depression group

description: The Positive Adaptation to Compound Risk project was funded by the British Academy’s Humanities and Social Sciences Tackling Global Challenges scheme. The goal of the project was to contribute to our understanding of which resilience-enabling factors impact depression outcomes differentially (that is, have greater or lesser protective value) for young people at lower and higher levels of risk exposure, or how consistent these factors might be over time. The project engaged with 57 young people aged 18-26 living in eMbalenhle, South Africa. Each participant contributed 10 weeks of digital diary entries between July and November 2021, and was interviewed 3 times (June 2021, December 2021, June 2022). The digital diary entries for participants living in Lower Risk contexts are contained in this resource.
DOI: 10.25392/leicester.data.25872424.v1
title: Digital diary entries: Lower Risk/Minimal-Mild Depression group

description: The Positive Adaptation to Compound Risk project was funded by the British Academy’s Humanities and Social Sciences Tackling Global Challenges scheme. The goal of the project was to contribute to our understanding of which resilience-enabling factors impact depression outcomes differentially (that is, have greater or lesser protective value) for young people at lower and higher levels of risk exposure, or how consistent these factors might be over time. The project engaged with 57 young people aged 18-26 living in eMbalenhle, South Africa. Each participant contributed 10 weeks of digital diary entries between July and November 2021, and was interviewed 3 times (June 2021, December 2021, June 2022). The digital diary entries for participants living in Lower Risk contexts are contained in this resource.
DOI: 10.25392/leicester.data.25872169
title: Interview protocols

description: The Positive Adaptation to Compound Risk project was funded by the British Academy’s Humanities and Social Sciences Tackling Global Challenges scheme. The goal of the project was to contribute to our understanding of which resilience-enabling factors impact depression outcomes differentially (that is, have greater or lesser protective value) for young people at lower and higher levels of risk exposure, or how consistent these factors might be over time. The project engaged with 57 young people aged 18-26 living in eMbalenhle, South Africa. Each participant contributed 10 weeks of digital diary entries between July and November 2021, and was interviewed 3 times (June 2021, December 2021, June 2022) using the interview schedules in this resource.
DOI: 10.15468/dl.3usjpv
title: Occurrence Download

description: A dataset containing 8265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lactarius turpis (Weinm.) Fr.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8265 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035118-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11213511
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_001-015)

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: 001-015). Please click here to download the ELITE SLDR product in 2007 (DOY: 016-031).

Dataset Characteristics:



Spatial Coverage: Global

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

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.11213713
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_016-031)

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: 016-031). Please click here to download the ELITE SLDR product in 2007 (DOY: 032-046).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-1-16 ~ 2007-1-31

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.11213712
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_016-031)

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: 016-031). Please click here to download the ELITE SLDR product in 2007 (DOY: 032-046).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-1-16 ~ 2007-1-31

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).