cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10246857
title: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

description: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series
This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2022 and will be updated in the coming years.
For a complete description of the data see:
Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and time series. Earth System Science Data, 13(7), 3219-3237. doi:10.5194/essd-13-3219-2021
Kaplan, J. O., & Lau, K. H.-K. (2022). World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update. Earth System Science Data, 14(12), 5665-5670. doi:10.5194/essd-14-5665-2022
The data are stored in a NetCDF (version 4) files and have the following attributes:

Spatial extent: Entire Earth
Spatial reference system (SRS): Unprojected (geographic, WGS84)
Spatial resolution: half-degree and 5 arc-minute
Temporal extent: 2010-2022
Temporal resolution: daily and monthly1,2
Variables included in this release

Lightning density (strokes km-2 day-1)
Lightning mean, median, and standard deviation of stroke power (MW, 30 arc-minute version only)
For further details, see https://github.com/ARVE-Research/WGLC
1*4748 elements in the time dimension for daily data; 156 for monthly data; 12 for the climatology.
2*Daily fields currently available at 30-minute resolution only.
The WWLLN Global Lightning Climatology and timeseries (WGLC) © 2023 by Jed O. Kaplan is licensed under CC BY-SA 4.0
DOI: 10.5281/zenodo.10725446
title: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

description: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2023 and will be updated in the coming years.

For a complete description of the data see:

Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and time series. Earth System Science Data, 13(7), 3219-3237. doi:10.5194/essd-13-3219-2021

Kaplan, J. O., & Lau, K. H.-K. (2022). World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update. Earth System Science Data, 14(12), 5665-5670. doi:10.5194/essd-14-5665-2022

The data are stored in a NetCDF (version 4) files and have the following attributes:



Spatial extent: Entire Earth

Spatial reference system (SRS): Unprojected (geographic, WGS84)

Spatial resolution: half-degree and 5 arc-minute

Temporal extent: 2010-2022

Temporal resolution: daily and monthly1,2


Variables included in this release



Lightning density (strokes km-2 day-1)

Lightning mean, median, and standard deviation of stroke power (MW, 30 arc-minute version only)


For further details, see https://github.com/ARVE-Research/WGLC

1*4748 elements in the time dimension for daily data; 156 for monthly data; 12 for the climatology.

2*Daily fields currently available at 30-minute resolution only.

The WWLLN Global Lightning Climatology and timeseries (WGLC) © 2024 by Jed O. Kaplan is licensed under CC BY-SA 4.0
DOI: 10.5281/zenodo.15215319
title: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

description: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2024 and will be updated in the coming years.

For a complete description of the data see:

Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and time series. Earth System Science Data, 13(7), 3219-3237. doi:10.5194/essd-13-3219-2021

Kaplan, J. O., & Lau, K. H.-K. (2022). World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update. Earth System Science Data, 14(12), 5665-5670. doi:10.5194/essd-14-5665-2022

The data are stored in a NetCDF (version 4) files and have the following attributes:



Spatial extent: Entire Earth

Spatial reference system (SRS): Unprojected (geographic, WGS84)

Spatial resolution: half-degree and 5 arc-minute

Temporal extent: 2010-2024

Temporal resolution: daily and monthly*1,2


Variables included in this release



Lightning density (strokes km-2 day-1)

Lightning mean, median, and standard deviation of stroke power (MW, 30 arc-minute version only)


For further details, see https://github.com/ARVE-Research/WGLC

1*5479 elements in the time dimension for daily data; 180 for monthly data; 12 for the climatology.

2*Daily fields currently available at 30-minute resolution only.

The WWLLN Global Lightning Climatology and timeseries (WGLC) © 2025 by Jed O. Kaplan is licensed under CC BY-SA 4.0
DOI: 10.5281/zenodo.4774528
title: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

description: The World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series

This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2024 and will be updated in the coming years.

For a complete description of the data see:

Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and time series. Earth System Science Data, 13(7), 3219-3237. doi:10.5194/essd-13-3219-2021

Kaplan, J. O., & Lau, K. H.-K. (2022). World Wide Lightning Location Network (WWLLN) Global Lightning Climatology (WGLC) and time series, 2022 update. Earth System Science Data, 14(12), 5665-5670. doi:10.5194/essd-14-5665-2022

The data are stored in a NetCDF (version 4) files and have the following attributes:



Spatial extent: Entire Earth

Spatial reference system (SRS): Unprojected (geographic, WGS84)

Spatial resolution: half-degree and 5 arc-minute

Temporal extent: 2010-2024

Temporal resolution: daily and monthly*1,2


Variables included in this release



Lightning density (strokes km-2 day-1)

Lightning mean, median, and standard deviation of stroke power (MW, 30 arc-minute version only)


For further details, see https://github.com/ARVE-Research/WGLC

1*5479 elements in the time dimension for daily data; 180 for monthly data; 12 for the climatology.

2*Daily fields currently available at 30-minute resolution only.

The WWLLN Global Lightning Climatology and timeseries (WGLC) © 2025 by Jed O. Kaplan is licensed under CC BY-SA 4.0
DOI: 10.5281/zenodo.4774529
title: The WWLLN Global Lightning Climatology and timeseries (WGLC)

description: <strong>The WWLLN Global Lightning Climatology and timeseries (WGLC)</strong> This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2020 and will be updated in the coming years. For a complete description of the data see: Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and timeseries. <em>Earth Syst. Sci. Data Discuss.</em>, 2021, 1-25. doi:10.5194/essd-2021-89 The data are stored in a NetCDF (version 4) files and have the following attributes: Spatial extent: Entire Earth Spatial reference system (SRS): Unprojected (geographic, WGS84) Spatial resolution: half-degree and 5 arc-minute Temporal extent: 2010-2020 Temporal resolution: daily and monthly<sup>1,2</sup> <strong>Variables included in this release</strong> Lightning density Lightning mean, median, and standard deviation of stroke power. For further details, see https://github.com/ARVE-Research/WGLC <sup>1</sup>4018 elements in the time dimension for daily data; 108 for monthly data; 12 for the climatology. <sup>2</sup>Daily fields currently available at 30-minute resolution only.
DOI: 10.5281/zenodo.4882792
title: The WWLLN Global Lightning Climatology and timeseries (WGLC)

description: <strong>The WWLLN Global Lightning Climatology and timeseries (WGLC)</strong> This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2020 and will be updated in the coming years. For a complete description of the data see: Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and timeseries. <em>Earth Syst. Sci. Data Discuss.</em>, 2021, 1-25. doi:10.5194/essd-2021-89 The data are stored in a NetCDF (version 4) files and have the following attributes: Spatial extent: Entire Earth Spatial reference system (SRS): Unprojected (geographic, WGS84) Spatial resolution: half-degree and 5 arc-minute Temporal extent: 2010-2020 Temporal resolution: daily and monthly<sup>1,2</sup> <strong>Variables included in this release</strong> Lightning density Lightning mean, median, and standard deviation of stroke power. For further details, see https://github.com/ARVE-Research/WGLC <sup>1</sup>4018 elements in the time dimension for daily data; 108 for monthly data; 12 for the climatology. <sup>2</sup>Daily fields currently available at 30-minute resolution only.
description: In this version the data for lightning stroke density have been updated to correctly reflect the units in the file metadata (strokes km-2 day-1).
DOI: 10.5281/zenodo.6007052
title: The WWLLN Global Lightning Climatology and timeseries (WGLC)

description: The WWLLN Global Lightning Climatology and timeseries (WGLC)


This repository contains global lightning stroke density and stroke power calculated from georeferenced stroke count data from the World Wide Lightning Location Network WWLLN. The real-time raw stroke count data were reprocessed by WWLLN to remove artifacts and improve geolocation, which resulted in the "AE" georeferenced and timestamped stroke count data. These data were then gridded at 0.5 degree 5 arc-minute and hourly resolution, converted into density, and corrected for detection efficiency using the WWLLN global gridded detection efficiency maps. Mean, median, and standard deviation of stroke power are also provided at 30-minute resolution. The corrected hourly rasters were then aggregated into daily and monthly totals and into a multi-year monthly mean climatology. The data cover the period 2010-2020 and will be updated in the coming years.


For a complete description of the data see:


Kaplan, J. O., & Lau, K. H.-K. (2021). The WGLC global gridded lightning climatology and timeseries. Earth Syst. Sci. Data Discuss., 2021, 1-25. doi:10.5194/essd-2021-89


The data are stored in a NetCDF (version 4) files and have the following attributes:



	
Spatial extent: Entire Earth
	
Spatial reference system (SRS): Unprojected (geographic, WGS84)
	
Spatial resolution: half-degree and 5 arc-minute
	
Temporal extent: 2010-2020
	
Temporal resolution: daily and monthly1,2



Variables included in this release



	
Lightning density
	
Lightning mean, median, and standard deviation of stroke power.



For further details, see https://github.com/ARVE-Research/WGLC


14018 elements in the time dimension for daily data; 108 for monthly data; 12 for the climatology.


2Daily fields currently available at 30-minute resolution only.
DOI: 10.25582/data.2023-04.2782475/2334920
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782034/2334921
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782753/2334922
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2783038/2334923
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2781544/2334924
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.6mn5un
title: Occurrence Download

description: A dataset containing 8055 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taeniothrips inconsequens (Uzel, 1895)"
 ]
}

 The dataset includes 8055 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125182-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2781213/2334925
title: Data for EMSL Project 51287 from April 2023
DOI: 10.57912/23856660.v1
title: 1824-2012 President State Level Data

description: Description to be added
DOI: 10.57912/25387213
title: 1824-2020 President State Level Data

description: This update adds 2016 and 2020 votes along with some updates in previous years to align with county data sets.
DOI: 10.57912/25387429
title: 2020 Detailed General Election Data for President by Congressional District

description: 2020 Detailed General Election Data for President by Congressional District
DOI: 10.25582/data.2023-04.2781844/2334926
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.7ffnfy
title: Occurrence Download

description: A dataset containing 316 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum vanum H.Øllg."
 ]
}

 The dataset includes 316 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125183-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcznu8
title: Occurrence Download

description: A dataset containing 222028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-03-14",
 "EventDate is less than or equal to 2024-04-13",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 222028 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125105-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2781916/2334927
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782438/2334928
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.cb23zh
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum heteroloma Hand.-Mazz."
 ]
}

 The dataset includes 17 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125184-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2782733/2334929
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.vvqadq
title: Occurrence Download

description: A dataset containing 1911 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tolpis azorica (Nutt.) P.Silva"
 ]
}

 The dataset includes 1911 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125185-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2782143/2334930
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2781490/2334931
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2781887/2334932
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782433/2334933
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.qxrc9e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thrixspermum incurvicalcar J.J.Sm."
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125186-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2781199/2334934
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.bk3nfe
title: Occurrence Download

description: A dataset containing 325 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Terminalia myriocarpa Van Heurck & Müll.Arg."
 ]
}

 The dataset includes 325 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125188-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugvs89
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Gymnogyps californianus (Shaw, 1797)"
 ]
}

 The dataset includes 381 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125187-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2781346/2334935
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2781321/2334936
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782215/2334937
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2781270/2334938
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.ybteun
title: Occurrence Download

description: A dataset containing 41687 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Didelphis virginiana Kerr, 1792"
 ]
}

 The dataset includes 41687 records from 205 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125181-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2781711/2334939
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2781202/2334940
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2780874/2334941
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782505/2334942
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782064/2334943
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782498/2334944
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782264/2334945
title: Data for EMSL Project 51287 from April 2023
DOI: 10.15468/dl.4cmekm
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum variegatum Kitag."
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0125189-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2023-04.2781170/2334946
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2782739/2334947
title: Data for EMSL Project 51287 from April 2023
DOI: 10.25582/data.2023-04.2780931/2334948
title: Data for EMSL Project 51287 from April 2023