cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15664892
title: TCOM-H2O: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric H2O profile dataset [1991-2021] constructed using machine-learning.

description: Methodology:  

The TOMCAT simulation was conducted at a T64L32 resolution, consistent with previous work by Dhomse et al. (2021, 2022), covering the period from 2000 to 2024. These simulations utilized ERA-5 reanalysis data.

H2O Profile Processing and Bias Correction

Collocated H2O profiles are organized into five distinct latitude bins:





NH polar: 90∘N - 50∘N




NH mid-lat: 20∘N - 70∘N




Tropics: 40∘S - 40∘N




SH mid-lat: 70∘S - 20∘S




SH polar: 90∘S - 50∘S



Initially, differences between TOMCAT and satellite measurements (primarily ACE-FTS data) are calculated for each zonal bin across 51 height levels (ranging from 10,km to 60,km). Note that TOMCAT may not accurately capture H2O evolution post-HTHH eruption due to the sparse spatial coverage of ACE measurements, which limits training data.

Separate XGBoost regression models are then trained for these H2O differences at each height level within a given latitude bin. These trained models are subsequently used to estimate H2O bias corrections for all daytime TOMCAT grids (9132 days), specifically sampled at 1:30 PM local time at the equator. This yields grid-specific bias corrections that are applied to the original TOMCAT profiles.

Height-resolved H2O profile data are then interpolated onto 28 standard pressure levels (from 300,hPa to 0.1,hPa), using pressure levels directly from the TOMCAT grids. For overlapping latitude bins, values are averaged to ensure smoother fields near boundary regions.

We acknowledge the inherent dry biases in the original TOMCAT H2O profiles, largely because the TTL entry mixing ratios are based on a simplistic sinusoidal seasonal cycle, which omits the H2O enhancement contributed by tropical convective clouds.

Data Files

The dataset includes two files containing daily mean zonal mean H2O profiles:





zmh2o_TCOM_hlev_T2Dz_2000-2024_V1.1.nc: Contains height level data (10,km to 60,km).




zmh2o_TCOM_plev_T2Dz_2000-2024_V1.1.nc: Contains pressure level data (300,hPa to 0.1,hPa).



Reference Publication

This methodology, incorporating only ACE-FTS data and various minor algorithmic developments, is based on the following publication:

Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, 2023.
description: This work was supported by the NERC SISLAC (NE/R001782/1) and LSO3 (NE/V0011863/1) project.
DOI: 10.15468/dl.r55u32
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia erratica (Hook.f.) Lye",
 "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 ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046527-250525065834625/datasets/export for details.
DOI: 10.15468/dl.r8gfdp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia erratica (Hook.f.) Lye",
 "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/0046528-250525065834625/datasets/export for details.
DOI: 10.15468/dl.pcxcts
title: Occurrence Download

description: A dataset containing 878 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2020"
 ]
}

 The dataset includes 878 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046529-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88gqn3
title: Occurrence Download

description: A dataset containing 777 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2019"
 ]
}

 The dataset includes 777 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046530-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wmtfjs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia erratica (Hook.f.) Lye",
 "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 ((35.6306 -23.844,35.6007 -23.8125,35.6007 -24.0157,35.6306 -23.844))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046532-250525065834625/datasets/export for details.
DOI: 10.15468/dl.rgvdkz
title: Occurrence Download

description: A dataset containing 261 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2015"
 ]
}

 The dataset includes 261 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046531-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15664932
title: TCOM-HCl : Daily global gap-free stratospheric hydrogen chloride profile data set based on TOMCAT CTM and Occultation Measurements

description: Methodology:  

The TOMCAT simulation was conducted at a T64L32 resolution, consistent with previous work by Dhomse et al. (2021, 2022), covering the period from 2000 to 2024. These simulations utilized ERA-5 reanalysis data.

HCl Profile Processing and Bias Correction

Collocated HCl profiles are organized into five distinct latitude bins:





NH polar: 90∘N - 50∘N




NH mid-lat: 20∘N - 70∘N




Tropics: 40∘S - 40∘N




SH mid-lat: 70∘S - 20∘S




SH polar: 90∘S - 50∘S



Initially, differences between TOMCAT and satellite measurements (primarily ACE-FTS data) are calculated for each zonal bin across 51 height levels (ranging from 10,km to 60,km).

Separate XGBoost regression models are then trained for these HCl differences at each height level within a given latitude bin. These trained models are subsequently used to estimate HCl bias corrections for all daytime TOMCAT grids (9132 days), specifically sampled at 1:30 PM local time at the equator. This yields grid-specific bias corrections that are applied to the original TOMCAT profiles.

Height-resolved HCl profile data are then interpolated onto 28 standard pressure levels (from 300,hPa to 0.1,hPa), using pressure levels directly from the TOMCAT grids. For overlapping latitude bins, values are averaged to ensure smoother fields near boundary regions.

Data Files

The dataset includes two files containing daily mean zonal mean HCl profiles:





zmhcl_TCOM_hlev_T2Dz_2000-2024_V1.1.nc: Contains height level data (10,km to 60,km).




zmhcl_TCOM_plev_T2Dz_2000-2024_V1.1.nc: Contains pressure level data (300,hPa to 0.1,hPa).



Reference Publication

This methodology, incorporating only ACE-FTS data and various minor algorithmic developments, is based on the following publication:

Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, 2023
description: This work was supported by the NERC SISLAC (NE/R001782/1) and LSO3 (NE/V0011863/1) projects.
DOI: 10.15468/dl.xsyvu9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia hygrophila (Gordon-Gray) Lye",
 "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 ((30.0251 -31.3959,30.5701 -30.7329,30.5701 -28.5786,25.5395 -28.5786,25.5395 -32.9007,28.2048 -32.9007,28.5753 -32.6569,29.4902 -31.7517,30.0251 -31.3959))"
 ]
}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046534-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3qcpg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia hygrophila (Gordon-Gray) Lye",
 "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 ((30.5701 -24.0715,25.5395 -24.0715,25.5395 -28.5786,30.5701 -28.5786,30.5701 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046535-250525065834625/datasets/export for details.
DOI: 10.15468/dl.a7tq5h
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia hygrophila (Gordon-Gray) Lye",
 "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 ((27.1332 -20.158,25.5395 -23.2724,25.5395 -24.0715,30.5701 -24.0715,30.5701 -20.3186,29.6496 -19.6123,28.947 -19.4003,28.1821 -19.4609,27.6072 -19.7214,27.1332 -20.158))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046536-250525065834625/datasets/export for details.
DOI: 10.15468/dl.bmm7ua
title: Occurrence Download

description: A dataset containing 596 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2017"
 ]
}

 The dataset includes 596 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046537-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkkfqf
title: Occurrence Download

description: A dataset containing 1307467 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Svalbard Global Seed Vault Collection"
 ]
}

 The dataset includes 1307467 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046533-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4tbgbd
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2016"
 ]
}

 The dataset includes 732 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046538-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15664946
title: TCOM-N2O: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric nitrous oxide profile dataset [1991-2021] constructed using machine-learning

description: Methodology:  

The TOMCAT simulation was conducted at a T64L32 resolution, consistent with previous work by Dhomse et al. (2021, 2022), covering the period from 2000 to 2024. These simulations utilized ERA-5 reanalysis data.

N2O Profile Processing and Bias Correction

Collocated N2O profiles are organized into five distinct latitude bins:





NH polar: 90∘N - 50∘N




NH mid-lat: 20∘N - 70∘N




Tropics: 40∘S - 40∘N




SH mid-lat: 70∘S - 20∘S




SH polar: 90∘S - 50∘S



Initially, differences between TOMCAT and satellite measurements (primarily ACE-FTS data) are calculated for each zonal bin across 51 height levels (ranging from 10,km to 60,km).

Separate XGBoost regression models are then trained for these N2O differences at each height level within a given latitude bin. These trained models are subsequently used to estimate N2O bias corrections for all daytime TOMCAT grids (9132 days), specifically sampled at 1:30 PM local time at the equator. This yields grid-specific bias corrections that are applied to the original TOMCAT profiles.

Height-resolved N2O profile data are then interpolated onto 28 standard pressure levels (from 300,hPa to 0.1,hPa), using pressure levels directly from the TOMCAT grids. For overlapping latitude bins, values are averaged to ensure smoother fields near boundary regions.

Data Files

The dataset includes two files containing daily mean zonal mean N2O profiles:





zmn2o_TCOM_hlev_T2Dz_2000-2024_V1.1.nc: Contains height level data (10,km to 60,km).




zmn2o_TCOM_plev_T2Dz_2000-2024_V1.1.nc: Contains pressure level data (300,hPa to 0.1,hPa).



Reference Publication

This methodology, incorporating only ACE-FTS data and various minor algorithmic developments, is based on the following publication:

Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, 2023.
DOI: 10.15468/dl.3hkzmf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia hygrophila (Gordon-Gray) Lye",
 "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 ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046539-250525065834625/datasets/export for details.
DOI: 10.15468/dl.vaj2bv
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia hygrophila (Gordon-Gray) Lye",
 "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 ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046540-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2kp7fv
title: Occurrence Download

description: A dataset containing 4768 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Antarctic Penguin Biogeography Project: Database of abundance and distribution for the Adélie, chinstrap, gentoo, emperor, macaroni, and king penguin south of 60 S"
 ]
}

 The dataset includes 4768 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046541-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j2qe8n
title: Occurrence Download

description: A dataset containing 601 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2014"
 ]
}

 The dataset includes 601 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046542-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15664377
title: Supplementary material of https://doi.org/10.48550/arXiv.2506.08398

description: This is the supplementary material of the paper "Exploring the energy landscape of the Thomsonproblem: local minima and stationary states", https://doi.org/10.48550/arXiv.2506.08398, by P. Amore, V. Figueroa, E. Diaz, J.A.Lopez and T. Vincent

 

It contains the configurations of local minima and stationary points of the Thomson problem, considered in that paper, stored in spherical coordinates.  Each file contains a different configuratio, with 2N components, N being the number of points on the sphere: values at odd positions are the theta components, values at even positions are the phi components. The configurations have a point at the north pole and another point on the xz plane.
DOI: 10.15468/dl.vb3c59
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abildgaardia hygrophila (Gordon-Gray) Lye",
 "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 ((35.5808 -24.13,35.5909 -24.0715,30.5701 -24.0715,30.5701 -28.5786,32.4847 -28.5786,32.55 -28.5222,33.0346 -26.8668,32.9741 -26.7838,33.0415 -26.059,32.9304 -26.0011,32.7994 -26.1281,32.6834 -26.0015,32.813 -25.8728,32.8513 -25.7166,33.3048 -25.3731,35.1489 -24.6699,35.5808 -24.13))"
 ]
}

 The dataset includes 24 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046543-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12167380
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.15664954
title: TCOM-CH4: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric methane profile dataset [1991-2021] constructed using machine-learning

description: Methodology:  

he TOMCAT simulation was conducted at a T64L32 resolution, consistent with previous work by Dhomse et al. (2021, 2022), covering the period from 2000 to 2024. These simulations utilized ERA-5 reanalysis data.

CH4 Profile Processing and Bias Correction

Collocated CH4 profiles are organized into five distinct latitude bins:





NH polar: 90∘N - 50∘N




NH mid-lat: 20∘N - 70∘N




Tropics: 40∘S - 40∘N




SH mid-lat: 70∘S - 20∘S




SH polar: 90∘S - 50∘S



Initially, differences between TOMCAT and satellite measurements (primarily ACE-FTS data) are calculated for each zonal bin across 51 height levels (ranging from 10,km to 60,km). It is important to note that unlike previous versions that might have used both HALOE and ACE measurements, this version exclusively utilizes ACE-FTS data, which is why the dataset starts from 2000.

Separate XGBoost regression models are then trained for these CH4 differences at each height level within a given latitude bin. These trained models are subsequently used to estimate CH4 bias corrections for all daytime TOMCAT grids (9132 days), specifically sampled at 1:30 PM local time at the equator. This yields grid-specific bias corrections that are applied to the original TOMCAT profiles.

Height-resolved CH4 profile data are then interpolated onto 28 standard pressure levels (from 300,hPa to 0.1,hPa), using pressure levels directly from the TOMCAT grids. For overlapping latitude bins, values are averaged to ensure smoother fields near boundary regions.

Data Files

The dataset includes two files containing daily mean zonal mean CH4 profiles:





zmch4_TCOM_hlev_T2Dz_2000-2024_V1.1.nc: Contains height level data (10,km to 60,km).




zmch4_TCOM_plev_T2Dz_2000-2024_V1.1.nc: Contains pressure level data (300,hPa to 0.1,hPa).



Reference Publication

This methodology, incorporating only ACE-FTS data and various minor algorithmic developments, is based on the following publication:

Dhomse, S. S. and Chipperfield, M. P.: Using machine learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, 2023.
DOI: 10.15468/dl.847h8n
title: Occurrence Download

description: A dataset containing 732 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Bird Surveys in the Yagorlytsky Kut Section (Black Sea Biosphere Reserve) in 2013"
 ]
}

 The dataset includes 732 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046547-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.