cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11215399
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_197-212)

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: 197-212). Please click here to download the ELITE SLDR product in 2007 (DOY: 213-227).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-7-16 ~ 2007-7-31

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.11215400
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_197-212)

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: 197-212). Please click here to download the ELITE SLDR product in 2007 (DOY: 213-227).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-7-16 ~ 2007-7-31

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.11215455
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (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 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: 213-227). Please click here to download the ELITE SLDR product in 2007 (DOY: 228-243).

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. 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.11215456
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (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 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: 213-227). Please click here to download the ELITE SLDR product in 2007 (DOY: 228-243).

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. 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: 10.15468/dl.kpjc2m
title: Occurrence Download

description: A dataset containing 27550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lactarius rufus (Scop.) Fr.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 27550 records from 247 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035123-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11215522
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_228-243)

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: 228-243). Please click here to download the ELITE SLDR product in 2007 (DOY: 244-258).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-8-16 ~ 2007-8-31

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.11215521
title: ELITE SLWR: global 1km 5-min SLDR at SIN Grid-Aqua (2007_228-243)

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: 228-243). Please click here to download the ELITE SLDR product in 2007 (DOY: 244-258).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2007-8-16 ~ 2007-8-31

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: 10.15468/dl.vcsy3q
title: Occurrence Download

description: A dataset containing 52609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Panolis flammea (Denis & Schiffermüller), 1775)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 52609 records from 251 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035113-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp6wvr
title: Occurrence Download

description: A dataset containing 5671 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Material sample, Material citation)",
 "Continent is South America",
 "Country is one of (Colombia, Bolivia (Plurinational State of), Ecuador, Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Coordinate rounded",
 "PublishingOrg is one of (ab13adb9-ce23-444d-87c9-ce41f03ef2b3, 2a7e3080-28a9-11dd-97cd-b8a03c50a862, 8e1a7b73-e746-4d20-a0ba-e647ce0f9784, 0c23482f-89f3-4efa-b6ed-7b25dadde4fc)",
 "TaxonKey is Ceroxylon Bonpl. ex DC."
 ]
}

 The dataset includes 5671 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036151-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24602898
title: Raw data from Doubleday et al. 2024 CRS

description: Time series data of Australia seafood production<br><br>
DOI: 10.6084/m9.figshare.24602898.v1
title: Raw data from Doubleday et al. 2024 CRS

description: Time series data of Australia seafood production<br><br>
DOI: 10.15468/dl.6trg3q
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cathartes burrovianus Cassin, 1845"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036152-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqz6t5
title: Occurrence Download

description: A dataset containing 267 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bassariscus astutus astutus"
 ]
}

 The dataset includes 267 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036153-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13381894
title: Energy and Emissions Impacts of Atlanta's Reversible Express Toll Lanes and High-Occupancy Toll Lanes

description: This dataset is the MOVES-Matrix emission rates for the NCST project of Energy and Emissions Impacts of Atlanta’s Reversible Express Toll Lanes and High-Occupancy Toll Lanes, developed by our research team at Georgia Institute of Technology.

 

The abstract of the project is as follows.

This report summarizes the impact on corridor-level energy use and emissions associated with the 2018 opening of the I-75 Northwest Corridor (NWC) and I-85 Express Lanes in Atlanta, GA.  The research team tracked changes in vehicle throughput on the managed lane corridors (extracted from GDOT’s Georgia NaviGAtor machine vision system after comprehensive QA/QC) and performed a difference-in-difference analysis to exclude regional changes, pairing test sites vs. control sites not influenced by the openings.  The results show a large increase in overall peak-period vehicle throughput on the NWC, especially on I-575, due to the congestion decrease (20 mph speed increases at some locations).  The increase in corridor-level energy use and emissions was smaller than vehicle throughput, but still significant.  Predicted downwind maximum CO concentrations only increased from 1.81 ppm to 1.93 ppm(which remains extremely low).  The increase in morning peak activity on the corridor likely resulted from diversion of some traffic into the peak from the shoulder periods, diversion of some traffic from other nearby freeway corridors, and diversion of local road traffic into the corridor.  Unfortunately, without overall control volume totals and/or pre-and-post travel behavior surveys for the alternative commute routes, it is not possible to quantify the likely reductions in traffic flow and emissions that occurred along the other corridors that likely resulted from morning commute shifts.  Hence, the team cannot draw reliable conclusions related to net regional or sub-regional impacts associated with the new managed lane corridors.  The impact observed on the I-85 corridor was much smaller than on the NWC, especially at Indian Trail/Lilburn Road (far from the Express Lane Extension).  After the Express Lanes opened, energy use and emission rates at Old Peachtree Road increased slightly (as uncongested vehicle speeds increased), but this increase may be short-lived as traffic on the corridor changes over time.
DOI: 10.5281/zenodo.13381895
title: Energy and Emissions Impacts of Atlanta's Reversible Express Toll Lanes and High-Occupancy Toll Lanes

description: This dataset is the MOVES-Matrix emission rates for the NCST project of Energy and Emissions Impacts of Atlanta’s Reversible Express Toll Lanes and High-Occupancy Toll Lanes, developed by our research team at Georgia Institute of Technology.

 

The abstract of the project is as follows.

This report summarizes the impact on corridor-level energy use and emissions associated with the 2018 opening of the I-75 Northwest Corridor (NWC) and I-85 Express Lanes in Atlanta, GA.  The research team tracked changes in vehicle throughput on the managed lane corridors (extracted from GDOT’s Georgia NaviGAtor machine vision system after comprehensive QA/QC) and performed a difference-in-difference analysis to exclude regional changes, pairing test sites vs. control sites not influenced by the openings.  The results show a large increase in overall peak-period vehicle throughput on the NWC, especially on I-575, due to the congestion decrease (20 mph speed increases at some locations).  The increase in corridor-level energy use and emissions was smaller than vehicle throughput, but still significant.  Predicted downwind maximum CO concentrations only increased from 1.81 ppm to 1.93 ppm(which remains extremely low).  The increase in morning peak activity on the corridor likely resulted from diversion of some traffic into the peak from the shoulder periods, diversion of some traffic from other nearby freeway corridors, and diversion of local road traffic into the corridor.  Unfortunately, without overall control volume totals and/or pre-and-post travel behavior surveys for the alternative commute routes, it is not possible to quantify the likely reductions in traffic flow and emissions that occurred along the other corridors that likely resulted from morning commute shifts.  Hence, the team cannot draw reliable conclusions related to net regional or sub-regional impacts associated with the new managed lane corridors.  The impact observed on the I-85 corridor was much smaller than on the NWC, especially at Indian Trail/Lilburn Road (far from the Express Lane Extension).  After the Express Lanes opened, energy use and emission rates at Old Peachtree Road increased slightly (as uncongested vehicle speeds increased), but this increase may be short-lived as traffic on the corridor changes over time.
DOI: 10.6084/m9.figshare.27139785
title: ML models cross validated results consolidated.xlsx

description: Consolidated ML model results
DOI: 10.6084/m9.figshare.27139785.v1
title: ML models cross validated results consolidated.xlsx

description: Consolidated ML model results
DOI: 10.15468/dl.5r7wmj
title: Occurrence Download

description: A dataset containing 5843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is one of (Mexico, Costa Rica, Guatemala, Panama, Nicaragua, Belize, El Salvador, Honduras)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ateles É.Geoffroy Saint-Hilaire, 1806"
 ]
}

 The dataset includes 5843 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036155-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.