cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.geyej8
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bidens cernua L."
 ]
}

 The dataset includes 89 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016791-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vmsp3g
title: Occurrence Download

description: A dataset containing 306361 species occurrences available in GBIF matching the query:
{
 "GenusKey" : [
 "is one of (Historis Hübner, 1819, Colobura Billberg, 1820, Smyrna Hübner, 1823, Eunica Hübner, 1819, Catonephele Hübner, 1819, Temenis Hübner, 1819, Diaethria Billberg, 1820, Paulogramma Dillon, 1948, Prepona Boisduval, 1836, Prepona Boisduval, 1836, Memphis Hübner, 1819, Fountainea Rydon, 1971, Fountainea Rydon, 1971, Zaretis Hübner, 1819, Siderone Hübner, 1823, Yphthimoides Forster, 1964, Paryphthimoides Forster, 1964, Pareuptychia Forster, 1964, Nhambikuara Freitas, Barbosa & Zacca, Euptychia Hübner, 1818, Forsterinaria Gray, 1973, Taygetis Hübner, 1819, Taygetina Forster, 1964, Hermeuptychia Forster, 1964, Narope Doubleday, 1849, Eryphanis Boisduval, 1870, Caligo Hübner, 1819, Catoblepia Stichel, 1902, Opsiphanes Doubleday, 1849, Morpho Fabricius, 1807, Antirrhea Hübner, 1822)"
 ]
}

 The dataset includes 306361 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016781-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5y6ku
title: Occurrence Download

description: A dataset containing 18403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Acridotheres cristatellus (Linnaeus, 1758)",
 "Year 2013-2022"
 ]
}

 The dataset includes 18403 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016792-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pws95c
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gibellula aranearum P.Syd."
 ]
}

 The dataset includes 315 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016793-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vg3he8
title: Occurrence Download

description: A dataset listing the 4024358 species recorded in GBIF matching the query:
{ }

 The dataset's 4024358 records were derived from 76368 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016787-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ed3a3
title: Occurrence Download

description: A dataset containing 8925 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Spodiopsar sericeus (Gmelin, 1789)",
 "Year 2013-2022"
 ]
}

 The dataset includes 8925 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016794-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sdcf3n
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma mexicanum (Shaw & Nodder, 1798)"
 ]
}

 The dataset includes 518 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016795-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13762540
title: ELITE SLWR: global 1km daily SLUR at SIN Grid   (2022_060-120)

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 daily surface longwave upward radiation (SLUR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave upward radiation (SLUR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLUR product in 2022 (DOY: 060-120). Please click here to download the ELITE Daily SLUR product in 2022 (DOY: 121-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2022-03-01 ~ 2022-04-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

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



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13762541
title: ELITE SLWR: global 1km daily SLUR at SIN Grid   (2022_060-120)

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 daily surface longwave upward radiation (SLUR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave upward radiation (SLUR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLUR product in 2022 (DOY: 060-120). Please click here to download the ELITE Daily SLUR product in 2022 (DOY: 121-181).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2022-03-01 ~ 2022-04-30

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

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



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.15468/dl.385xsa
title: Occurrence Download

description: A dataset containing 203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma andersoni Krebs & Brandon, 1984"
 ]
}

 The dataset includes 203 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016796-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ybkht
title: Occurrence Download

description: A dataset containing 518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Ambystoma mexicanum (Shaw & Nodder, 1798)"
 ]
}

 The dataset includes 518 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016797-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fr5u87
title: Occurrence Download

description: A dataset containing 14212 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Spodiopsar cineraceus (Temminck, 1835)",
 "Year 2013-2022"
 ]
}

 The dataset includes 14212 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016798-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13661562
title: Political Advertising on Facebook During the 2022 Australian Federal Election

description: This repository contains data on political advertisements posted on Facebook and Instagram during the three months leading up to the 2022 Australian federal election. The data was collected using the Meta Ad Library API and provides insights into digital political campaigning strategies in Australia.

Contents

The repository includes the following files:



datasheet.txt: A detailed datasheet following the guidelines of Gebru et al. (2021), providing transparency about data collection, preprocessing, and handling procedures.

party_information.csv: Manually annotated data matching candidates, electorates, and parties based on ad funding entity information.

maps_australia.zip: A set of Australian maps used for visualizing the geographical distribution of ads during the campaign period.

2022_AU_election_raw.zip: Raw data collected from the Meta Ad Library API, containing comprehensive information on political ads run on Facebook and Instagram in Australia during the specified period.

keywords.csv: A curated list of keywords relevant to the 2022 Australian federal election, useful for content analysis and topic modeling of the advertisements.


Related Code Repository

The code used to analyze this data and reproduce the results presented in the paper "Political Advertising on Facebook During the 2022 Australian Federal Election" can be found in a separate repository:

https://anonymous.4open.science/r/Political-Advertising-2022-AU-Federal-Election-3E75/README.md

References

Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86–92.
DOI: 10.5281/zenodo.13661563
title: Political Advertising on Facebook During the 2022 Australian Federal Election

description: This repository contains data on political advertisements posted on Facebook and Instagram during the three months leading up to the 2022 Australian federal election. The data was collected using the Meta Ad Library API and provides insights into digital political campaigning strategies in Australia.

Contents

The repository includes the following files:



datasheet.txt: A detailed datasheet following the guidelines of Gebru et al. (2021), providing transparency about data collection, preprocessing, and handling procedures.

party_information.csv: Manually annotated data matching candidates, electorates, and parties based on ad funding entity information.

maps_australia.zip: A set of Australian maps used for visualizing the geographical distribution of ads during the campaign period.

2022_AU_election_raw.zip: Raw data collected from the Meta Ad Library API, containing comprehensive information on political ads run on Facebook and Instagram in Australia during the specified period.

keywords.csv: A curated list of keywords relevant to the 2022 Australian federal election, useful for content analysis and topic modeling of the advertisements.


Related Code Repository

The code used to analyze this data and reproduce the results presented in the paper "Political Advertising on Facebook During the 2022 Australian Federal Election" can be found in a separate repository:

https://anonymous.4open.science/r/Political-Advertising-2022-AU-Federal-Election-3E75/README.md

References

Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., Iii, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86–92.
DOI: 10.15468/dl.6xmehj
title: Occurrence Download

description: A dataset containing 28073 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Turdus mandarinus Bonaparte, 1850",
 "Year 2013-2022"
 ]
}

 The dataset includes 28073 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016799-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8nkkbt
title: Occurrence Download

description: A dataset containing 48502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calandrella brachydactyla (Leisler, 1814)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 48502 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016800-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bphj7
title: Occurrence Download

description: A dataset containing 6810 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phoenicurus fuliginosus Vigors, 1831",
 "Year 2013-2022"
 ]
}

 The dataset includes 6810 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016801-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gg5ab7
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-76.4696 3.99693,-75.94979 3.99693,-75.94979 4.40889,-76.4696 4.40889,-76.4696 3.99693))",
 "OccurrenceStatus is Present",
 "TaxonKey is Cattleya quadricolor B.S.Williams"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016802-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkz3fz
title: Occurrence Download

description: A dataset containing 563 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bidens parviflora Willd."
 ]
}

 The dataset includes 563 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016803-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vga8aj
title: Occurrence Download

description: A dataset containing 3569 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phoenicurus leucocephalus Vigors, 1831",
 "Year 2013-2022"
 ]
}

 The dataset includes 3569 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016805-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9qrxet
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taphrolesbia griseiventris (Taczanowski, 1883)"
 ]
}

 The dataset includes 569 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016807-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r9h3ee
title: Occurrence Download

description: A dataset containing 50910 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Passer montanus (Linnaeus, 1758)",
 "Year 2013-2022"
 ]
}

 The dataset includes 50910 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016806-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.djbmkm
title: Occurrence Download

description: A dataset containing 738 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Carpodacus davidianus Milne-Edwards, 1865",
 "Year 2013-2022"
 ]
}

 The dataset includes 738 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016809-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwcyse
title: Occurrence Download

description: A dataset containing 97880 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.5_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Araneae"
 ]
}

 The dataset includes 97880 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016808-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13733977
title: ELITE SLWR: global 1km daily SLUR at SIN Grid   (2000_306-366)

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 daily surface longwave upward radiation (SLUR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave upward radiation (SLUR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLUR product in 2000 (DOY: 306-366). Please click here to download the ELITE Daily SLUR product in 2001 (DOY: 001-059).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2000-11-01 ~ 2000-12-31

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

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



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.
DOI: 10.5281/zenodo.13733978
title: ELITE SLWR: global 1km daily SLUR at SIN Grid   (2000_306-366)

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 daily surface longwave upward radiation (SLUR) product at 1km spatial resolution. It is provided on a Sinusoidal grid and ranges from 2000 to 2022 (continuously updated). This dataset was generated from the ELITE surface longwave upward radiation (SLUR) product using the algorithms developed by Zeng et al. (2021).

 

This is the ELITE Daily SLUR product in 2000 (DOY: 306-366). Please click here to download the ELITE Daily SLUR product in 2001 (DOY: 001-059).

Dataset Characteristics:



Spatial Coverage: Global

Temporal Coverage: 2000-11-01 ~ 2000-12-31

Spatial Resolution: 1 km

Temporal Resolution: Daily

Data Format: h5

Projection: Sinusoidal

Scale: 0.05

Offset: -1000

Fill value: 999


 

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



Zeng, Q., & Cheng, J. (2021). Estimating high-spatial resolution surface daily longwave radiation from the instantaneous Global LAnd Surface Satellite (GLASS) longwave radiation product. International Journal of Digital Earth, 14(11), 1674-1704.