cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8yyd86
title: Occurrence Download

description: A dataset containing 87467 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pulsatilla vulgaris"
 ]
}

 The dataset includes 87467 records from 477 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050123-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjs8e6
title: Occurrence Download

description: A dataset containing 3364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Chenopodium album"
 ]
}

 The dataset includes 3364 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0050171-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15026343
title: Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts

description: This repository contains accompanying data to the "Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts" paper by Moulds et al. (in press). 

This repository is a Snakemake workflow. Users should install Snakemake using Mamba/Conda. It can then be run from the command line as follows:



$> snakemake --cores N --snakefile workflow/Snakefile_envs --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_prediction --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_tuning --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_prediction --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_evaluation --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_plotting --use-conda


where N is the number of cores you wish to use. The workflow has been tested on MacOS and Linux systems. On Windows it should work under the Windows Subsystem for Linux. As we do not have permission to distribute many of the input data, we instead include the data after the first level of preprocessing (results/preprocessing). Hence attempting to run workflow/Snakefile_preprocessing will not work.

Log:



Version 0.1 (05/06/2025): Initial upload following acceptance for publication
DOI: 10.5281/zenodo.15026344
title: Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts

description: This repository contains accompanying data to the "Skilful probabilistic predictions of UK flood risk months ahead using a large-sample machine learning model trained on multimodel ensemble climate forecasts" paper by Moulds et al. (in press). 

This repository is a Snakemake workflow. Users should install Snakemake using Mamba/Conda. It can then be run from the command line as follows:



$> snakemake --cores N --snakefile workflow/Snakefile_envs --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_prediction --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_tuning --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_prediction --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_evaluation --use-conda

$> snakemake --cores N --snakefile workflow/Snakefile_plotting --use-conda


where N is the number of cores you wish to use. The workflow has been tested on MacOS and Linux systems. On Windows it should work under the Windows Subsystem for Linux. As we do not have permission to distribute many of the input data, we instead include the data after the first level of preprocessing (results/preprocessing). Hence attempting to run workflow/Snakefile_preprocessing will not work.

Log:



Version 0.1 (05/06/2025): Initial upload following acceptance for publication
DOI: 10.3886/e232001
title: Supplemental data for: Keep your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections

description: Supplemental data for: Keep your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections.<br><br>We study changes in political discourse during campaigns, using a novel dataset of candidate websites for U.S. House elections, 2002-2016, and manifestos for French parliamentary and local elections, 1958-2022. We find that candidates move to the center in ideology and rhetorical complexity between the first round (or primary) and the second round (or general election). This convergence reflects candidates’ strategic adjustment to their opponents, as predicted by Downsian competition: Using an RDD, we show that candidates converge to the platform of opponents who narrowly qualified for the last round, as opposed to those who narrowly failed to qualify.<br>
DOI: 10.3886/e232001v1
title: Supplemental data for: Keep your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections

description: Supplemental data for: Keep your Enemies Closer: Strategic Platform Adjustments during U.S. and French Elections.<br><br>We study changes in political discourse during campaigns, using a novel dataset of candidate websites for U.S. House elections, 2002-2016, and manifestos for French parliamentary and local elections, 1958-2022. We find that candidates move to the center in ideology and rhetorical complexity between the first round (or primary) and the second round (or general election). This convergence reflects candidates’ strategic adjustment to their opponents, as predicted by Downsian competition: Using an RDD, we show that candidates converge to the platform of opponents who narrowly qualified for the last round, as opposed to those who narrowly failed to qualify.<br>
DOI: 10.15468/dl.dtpkwx
title: Occurrence Download

description: A dataset containing 1059 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callianthe megapotamica (A.Spreng.) Dorr"
 ]
}

 The dataset includes 1059 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022733-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15602075
title: Benchmark datasets for SWITCH
DOI: 10.5281/zenodo.15602076
title: Benchmark datasets for SWITCH
DOI: 10.5281/zenodo.15602125
title: TABLE 1 in Description of the tadpole of Itapotihyla langsdorffii (Anura: Hylidae)

description: TABLE 1. Measurements (in mm) of six Itapotihyla langsdorffii tadpoles, stages 39–40 (Gosner 1960).
CharacterMeansdRangeTotal length53.12.7249.4–56.3Body length18.20.6817.3–19.1Body height9.70.698.7–10.8Body width10.70.2910.2–10.9Tail length34.92.0632.1–37.2Tail height11.50.6710.8–12.6Tail muscle height3.40.363.1–4.1Interorbital distance8.10.207.8–8.3Internostril distance5.30.334.9–5.7Eye diameter1.90.111.8–2.1Distance eye­nostril1.90.481.4–2.6Distance nostril­snout3.80.582.9–4.3Oral disc width5.30.225.1–5.6
description: Published as part of Pimenta, Bruno V. S. & Canedo, Clarissa, 2007, Description of the tadpole of Itapotihyla langsdorffii (Anura: Hylidae), pp. 42 in Zootaxa 1387 (1) on page 42, DOI: 10.11646/zootaxa.1387.1.3, http://zenodo.org/record/10087693
DOI: 10.5281/zenodo.15602127
title: TABLE 2 in Description of the tadpole of Itapotihyla langsdorffii (Anura: Hylidae)

description: TABLE 2. Comparison among morphological characteristics of larvae of Aparasphenodon, Itapotihyla, Osteocephalus, and Trachycephalus. Data on number and distribution of papillae rows are compared in Discussion. Data from Trueb and Duellman (1970), Henle (1981), Hero (1990), Jungfer and Schiesari (1995), Prado et al. (2003), Schiesari and Moreira (1996), Schiesari et al. (1996), Wogel et al. (2000, 2006), Zimmerman and Hödl (1983), and present study. Stages follow Gosner (1960). Measurements in mm. Abbreviations: TL = total length; CL = caudal length; ED = Eyes direction; PN = Position of nostrils; TRF = tooth row formula (presence and position of gaps not indicated); UJS = Upper jaw sheath; LJS = Lower jaw sheath; SP = Spiracle; mid = midway between eyes and snout; M­SD = medial to subdextral.
SpeciesTL (stage)CL / TLEDPNTRF (stage)UJSLJSSPSP inner wallVent tubeA. brunoi63.2 (40)2/3lateralnear eyes2/6 (41)arch­shaped“V”­ shapedsinistralpresentmedialI. langsdorffii56.3 (40)2/3lateralnear eyes2/3 (40)“U”­ shaped“V”­ shapedsinistralabsentdextralO. buckleyi36.3 (38)2/3dorsolateralmid2/8 (38)arch­shaped“V”­ shapedsinistral?dextralO. elkejungingerae30.2 (33)2/3dorsolateralnear snout2/6 (30)arch­shaped“V”­ shapedsinistral??O. oophagus36.2 (40)3/5dorsolateralnear eyes2/3 (40)arch­shaped“V”­ shapedsinistralabsentM­SDO. taurinus38.3 (39)3/5dorsolateralmid2/5­6 (39)arch­shaped“V”­ shapedsinistral?M­SDO. verruciger40.8 (37)3/4dorsolateralmid2/5 (37)arch­shaped“V”­ shapedsinistral?dextralT. coriaceus53.2 (37)3/4lateralnear snout4/5­6 (37)arch­shaped“U”­ shapedsinistralabsentmedialT. jordanensis37.9 (34)3/4lateralnear snout4/6 (34)arch­shaped“V”­ shapedsinistralpresentmedialT. mesophaeus41.5 (36)2/3lateralnear snout4/6 (36)arch­shaped“V”­ shapedsinistralpresentmedialT. nigromaculatus44.6 (38)2/3lateralnear snout3/5 (38)“U”­ shaped“V”­ shapedsinistralpresentmedialT. resinifictrix47.0 (39)3/5lateralnear snout2/4 (41)arch­shaped“V”­ shapedsinistralabsentM­SDT. venulosus49.4 (41)3/5lateralnear snout3/5 (40)arch­shaped“V”­ shapedsinistralabsentM­SD
description: Published as part of Pimenta, Bruno V. S. & Canedo, Clarissa, 2007, Description of the tadpole of Itapotihyla langsdorffii (Anura: Hylidae), pp. 43 in Zootaxa 1387 (1) on page 43, DOI: 10.11646/zootaxa.1387.1.3, http://zenodo.org/record/10087693
DOI: 10.5281/zenodo.15602128
title: TABLE 2 in Description of the tadpole of Itapotihyla langsdorffii (Anura: Hylidae)

description: TABLE 2. Comparison among morphological characteristics of larvae of Aparasphenodon, Itapotihyla, Osteocephalus, and Trachycephalus. Data on number and distribution of papillae rows are compared in Discussion. Data from Trueb and Duellman (1970), Henle (1981), Hero (1990), Jungfer and Schiesari (1995), Prado et al. (2003), Schiesari and Moreira (1996), Schiesari et al. (1996), Wogel et al. (2000, 2006), Zimmerman and Hödl (1983), and present study. Stages follow Gosner (1960). Measurements in mm. Abbreviations: TL = total length; CL = caudal length; ED = Eyes direction; PN = Position of nostrils; TRF = tooth row formula (presence and position of gaps not indicated); UJS = Upper jaw sheath; LJS = Lower jaw sheath; SP = Spiracle; mid = midway between eyes and snout; M­SD = medial to subdextral.
SpeciesTL (stage)CL / TLEDPNTRF (stage)UJSLJSSPSP inner wallVent tubeA. brunoi63.2 (40)2/3lateralnear eyes2/6 (41)arch­shaped“V”­ shapedsinistralpresentmedialI. langsdorffii56.3 (40)2/3lateralnear eyes2/3 (40)“U”­ shaped“V”­ shapedsinistralabsentdextralO. buckleyi36.3 (38)2/3dorsolateralmid2/8 (38)arch­shaped“V”­ shapedsinistral?dextralO. elkejungingerae30.2 (33)2/3dorsolateralnear snout2/6 (30)arch­shaped“V”­ shapedsinistral??O. oophagus36.2 (40)3/5dorsolateralnear eyes2/3 (40)arch­shaped“V”­ shapedsinistralabsentM­SDO. taurinus38.3 (39)3/5dorsolateralmid2/5­6 (39)arch­shaped“V”­ shapedsinistral?M­SDO. verruciger40.8 (37)3/4dorsolateralmid2/5 (37)arch­shaped“V”­ shapedsinistral?dextralT. coriaceus53.2 (37)3/4lateralnear snout4/5­6 (37)arch­shaped“U”­ shapedsinistralabsentmedialT. jordanensis37.9 (34)3/4lateralnear snout4/6 (34)arch­shaped“V”­ shapedsinistralpresentmedialT. mesophaeus41.5 (36)2/3lateralnear snout4/6 (36)arch­shaped“V”­ shapedsinistralpresentmedialT. nigromaculatus44.6 (38)2/3lateralnear snout3/5 (38)“U”­ shaped“V”­ shapedsinistralpresentmedialT. resinifictrix47.0 (39)3/5lateralnear snout2/4 (41)arch­shaped“V”­ shapedsinistralabsentM­SDT. venulosus49.4 (41)3/5lateralnear snout3/5 (40)arch­shaped“V”­ shapedsinistralabsentM­SD
description: Published as part of Pimenta, Bruno V. S. & Canedo, Clarissa, 2007, Description of the tadpole of Itapotihyla langsdorffii (Anura: Hylidae), pp. 43 in Zootaxa 1387 (1) on page 43, DOI: 10.11646/zootaxa.1387.1.3, http://zenodo.org/record/10087693
DOI: 10.15468/dl.yafq22
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carassius auratus (Linnaeus, 1758)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((15.4784 -23.4046,15.4933 -24.0715,20.509 -24.0715,20.509 -24.0455,20.0952 -23.5072,19.9968 -23.017,19.7843 -22.5405,19.1988 -21.8785,18.5972 -21.5447,17.8859 -21.3993,17.1626 -21.4805,16.5332 -21.7596,16.1257 -22.0882,15.8234 -22.4662,15.606 -22.8993,15.4784 -23.4046))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022826-250525065834625/datasets/export for details.
DOI: 10.15468/dl.fyvkfv
title: Occurrence Download

description: A dataset containing 541 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cestrum peruvianum Willd. ex Roem. & Schult."
 ]
}

 The dataset includes 541 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022827-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15602864
title: OPTIMIZING THE RАTIO OF TECHNICАL АND PHYSICАL TRАINING OF SKILLED WRESTLERS
DOI: 10.5281/zenodo.15602865
title: OPTIMIZING THE RАTIO OF TECHNICАL АND PHYSICАL TRАINING OF SKILLED WRESTLERS
DOI: 10.15468/dl.ngrb3n
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola zonata (Mitchill, 1815)"
 ]
}

 The dataset includes 134 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019252-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j4vjx5
title: Occurrence Download

description: A dataset containing 681 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-46900.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola rivoliana Valenciennes, 1833"
 ]
}

 The dataset includes 681 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019251-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.myu7hu
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola quinqueradiata Temminck & Schlegel, 1845"
 ]
}

 The dataset includes 335 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019249-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5g6uvd
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-1000000.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola peruana Steindachner, 1881"
 ]
}

 The dataset includes 9 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019245-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pam2va
title: Occurrence Download

description: A dataset containing 1995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-20100.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola hippos Günther, 1876"
 ]
}

 The dataset includes 1995 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019241-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zywvzz
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-19699.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola fasciata (Bloch, 1793)"
 ]
}

 The dataset includes 46 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019240-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.434yvd
title: Occurrence Download

description: A dataset containing 16619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola lalandi Valenciennes, 1833"
 ]
}

 The dataset includes 16619 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019203-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ajquvj
title: Occurrence Download

description: A dataset containing 1125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-20400.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola dumerili (Risso, 1810)"
 ]
}

 The dataset includes 1125 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019239-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyccpf
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Seriola carpenteri Mather, 1971"
 ]
}

 The dataset includes 27 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019254-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t54kkq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Afrixalus aureus, Afrixalus delicatus, Afrixalus fornasini, Afrixalus knysnae, Afrixalus spinifrons, Amietia delalandii, Amietia fuscigula, Amietia hymenopus, Amietia poyntoni, Amietia vandijki, Amietia vertebralis, Anhydrophryne hewitti, Anhydrophryne ngongoniensis, Anhydrophryne rattrayi, Arthroleptella atermina, Arthroleptella bicolor, Arthroleptella draconella, Arthroleptella drewesii, Arthroleptella kogelbergensis, Arthroleptella landdrosia, Arthroleptella lightfooti, Arthroleptella rugosa, Arthroleptella subvoce, Arthroleptella villiersi, Arthroleptis stenodactylus, Arthroleptis wageri, Arthroleptis wahlbergii, Breviceps acutirostris, Breviceps adspersus, Breviceps bagginsi, Breviceps branchi, Breviceps carruthersi, Breviceps fuscus, Breviceps gibbosus, Breviceps macrops, Breviceps montanus, Breviceps mossambicus, Breviceps namaquensis, Breviceps passmorei, Breviceps pentheri, Breviceps rosei, Breviceps sopranus, Breviceps sylvestris, Breviceps verrucosus, Cacosternum aggestum, Cacosternum australis, Cacosternum boettgeri, Cacosternum capense, Cacosternum karooicum, Cacosternum namaquense, Cacosternum nanogularum, Cacosternum nanum, Cacosternum parvum, Cacosternum platys, Cacosternum rhythmum, Cacosternum striatum, Cacosternum thorini, Capensibufo deceptus, Capensibufo magistratus, Capensibufo rosei, Capensibufo selenophos, Capensibufo tradouwi, Chiromantis xerampelina, Hadromophryne natalensis, Heleophryne depressa, Heleophryne hewitti, Heleophryne orientalis, Heleophryne purcelli, Heleophryne regis, Heleophryne rosei, Hemisus guineensis, Hemisus guttatus, Hemisus marmoratus, Hildebrandtia ornata, Hyperolius argus, Hyperolius horstockii, Hyperolius marmoratus, Hyperolius pickersgilli, Hyperolius poweri, Hyperolius pusillus, Hyperolius semidiscus, Hyperolius tuberilinguis, Kassina senegalensis, Leptopelis mossambicus, Leptopelis natalensis, Leptopelis xenodactylus, Microbatrachella capensis, Natalobatrachus bonebergi, Phlyctimantis maculatus, Phrynobatrachus acridoides, Phrynobatrachus mababiensis, Phrynobatrachus natalensis, Phrynomantis annectens, Phrynomantis bifasciatus, Poyntonia paludicola, Poyntonophrynus fenoulheti, Poyntonophrynus vertebralis, Ptychadena anchietae, Ptychadena mossambica, Ptychadena nilotica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000142-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16965041
title: Long-term Spatial Estimates of Wet Deposition of Sulfate, Nitrate, and Ammonium over North America, Europe, and East Asia

description: A U-Net Convolutional Neural Network (CNN) was developed to estimate the wet deposition of three inorganic species, namely sulfate (SO42-), nitrate (NO3-), and ammonium (NH4+) across North America, Europe, and East Asia from 2001 to 2019. The 10-fold cross-validation results show that the monthly R2 values for these species range from 0.73 to 0.80, and the annual R2 values range from 0.83 to 0.89. The monthly wet deposition dataset of SO42-, NO3-, and NH4+ is publicly available and can support relevant research in sustainability.
DOI: 10.5281/zenodo.16965040
title: Long-term Spatial Estimates of Wet Deposition of Sulfate, Nitrate, and Ammonium over North America, Europe, and East Asia

description: A U-Net Convolutional Neural Network (CNN) was developed to estimate the wet deposition of three inorganic species, namely sulfate (SO42-), nitrate (NO3-), and ammonium (NH4+) across North America, Europe, and East Asia from 2001 to 2019. The 10-fold cross-validation results show that the monthly R2 values for these species range from 0.73 to 0.80, and the annual R2 values range from 0.83 to 0.89. The monthly wet deposition dataset of SO42-, NO3-, and NH4+ is publicly available and can support relevant research in sustainability.