cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cfmn5p
title: Occurrence Download

description: A dataset containing 54241 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -20.3845909579754
 AND decimallatitude &lt;= -16.25916876999866
 AND decimallongitude &gt;= 20.464951930498312
 AND decimallongitude &lt;= 25.961512180631523
 AND GBIF_Within('POLYGON ((25.961512 -20.384591, 25.961512 -16.259169, 20.464952 -16.259169, 20.464952 -20.384591, 25.961512 -20.384591))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 54241 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017631-260129131611470/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/14757960
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.18511904
title: Southern Ocean latent heat flux variability driven by oceanic meso- and submesoscale motions

description: Corresponding publication (in peer-review)

This repository contains the data and analysis codes used in the study reported in:

Reymondet, L., Siegelman, L., & Lenain, L.Southern Ocean latent heat flux variability driven by oceanic meso- and submesoscale motions.

When using any of the files provided here, please cite both the above article and this Zenodo dataset.

Abstract

Latent heat flux is a primary pathway for ocean–atmosphere exchange of heat and moisture, yet the influence of sea surface temperature variability at fine scales (≤ 100 km) on latent heat flux variability, particularly over the Southern Ocean, remains poorly understood. Here we quantify the scale-dependent drivers of latent heat flux (LHF) variability using a year-long, global, fully coupled ocean–atmosphere simulation with kilometer-scale resolution. Annual-mean LHF in eddy-rich regions reaches ≈ 215 W/m2, approximately three times larger than in eddy-poor regions. Spectral analyses show that ocean mesoscale [O(100 km)] and submesoscale [O(1–10 km)] variability accounts for up to ≈ 80% of the total LHF variance in eddy-rich sectors, but as little as 10% in eddy-poor regions, and increases proportionally with eddy kinetic energy and sea surface temperature (SST) variance. We also find that strong submesoscale SST fronts (≈ 5°C over 10 km) force a localized secondary circulation that extends well above the marine boundary layer into the mid-troposphere. Comparison with ERA5 shows that fine ocean scales, responsible for about 17% of the ocean-driven LHF variance in the simulation, are largely unresolved in the reanalysis, leading to a muted atmospheric response lacking any secondary circulation. Despite a strong heterogeneity in LHF variability, the atmospheric dynamics are mostly uniform across the domain, suggesting a non local atmospheric response to ocean forcing. These results highlight the potential for ocean meso- and submesoscales, commonly under-resolved in climate models and reanalysis, to influence Southern Ocean air–sea coupling and atmosphere both locally and remotely.

Data availability

All data used in this study are publicly available. To limit storage requirements, this repository includes only the processed datasets necessary to reproduce the figures presented in the corresponding publication.





ERA5 reanalysis data are available from the Copernicus Climate Data Store:http://cds.climate.copernicus.eu/




COAS model outputs are available at:https://portal.nccs.nasa.gov/datashare/G5NR/DYAMONDv2/GEOS_6km_Atmosphere-MITgcm_4km_Ocean-Coupled/



Software and repository contents





COAS.zipScripts to download and process COAS model output data.




ERA.zipScripts to download and process ERA5 reanalysis data.




figures_data.zipProcessed datasets required to reproduce the figures in the publication.




plot_figures.zipNotebooks used to generate the figures presented in the publication.
DOI: 10.5281/zenodo.18511322
title: Southern Ocean latent heat flux variability driven by oceanic meso- and submesoscale motions

description: Corresponding publication (in peer-review)

This repository contains the data and analysis codes used in the study reported in:

Reymondet, L., Siegelman, L., & Lenain, L.Southern Ocean latent heat flux variability driven by oceanic meso- and submesoscale motions.

When using any of the files provided here, please cite both the above article and this Zenodo dataset.

Abstract

Latent heat flux is a primary pathway for ocean–atmosphere exchange of heat and moisture, yet the influence of sea surface temperature variability at fine scales (≤ 100 km) on latent heat flux variability, particularly over the Southern Ocean, remains poorly understood. Here we quantify the scale-dependent drivers of latent heat flux (LHF) variability using a year-long, global, fully coupled ocean–atmosphere simulation with kilometer-scale resolution. Annual-mean LHF in eddy-rich regions reaches ≈ 215 W/m2, approximately three times larger than in eddy-poor regions. Spectral analyses show that ocean mesoscale [O(100 km)] and submesoscale [O(1–10 km)] variability accounts for up to ≈ 80% of the total LHF variance in eddy-rich sectors, but as little as 10% in eddy-poor regions, and increases proportionally with eddy kinetic energy and sea surface temperature (SST) variance. We also find that strong submesoscale SST fronts (≈ 5°C over 10 km) force a localized secondary circulation that extends well above the marine boundary layer into the mid-troposphere. Comparison with ERA5 shows that fine ocean scales, responsible for about 17% of the ocean-driven LHF variance in the simulation, are largely unresolved in the reanalysis, leading to a muted atmospheric response lacking any secondary circulation. Despite a strong heterogeneity in LHF variability, the atmospheric dynamics are mostly uniform across the domain, suggesting a non local atmospheric response to ocean forcing. These results highlight the potential for ocean meso- and submesoscales, commonly under-resolved in climate models and reanalysis, to influence Southern Ocean air–sea coupling and atmosphere both locally and remotely.

Data availability

All data used in this study are publicly available. To limit storage requirements, this repository includes only the processed datasets necessary to reproduce the figures presented in the corresponding publication.





ERA5 reanalysis data are available from the Copernicus Climate Data Store:http://cds.climate.copernicus.eu/




COAS model outputs are available at:https://portal.nccs.nasa.gov/datashare/G5NR/DYAMONDv2/GEOS_6km_Atmosphere-MITgcm_4km_Ocean-Coupled/



Software and repository contents





COAS.zipScripts to download and process COAS model output data.




ERA.zipScripts to download and process ERA5 reanalysis data.




figures_data.zipProcessed datasets required to reproduce the figures in the publication.




plot_figures.zipNotebooks used to generate the figures presented in the publication.
DOI: 10.15468/dl.5442kx
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Specimen, Occurrence evidence)",
 "Continent is North America",
 "Geometry POLYGON((-122.70221 49.17548,-122.52953 49.18872,-122.50958 49.28213,-122.52953 49.34951,-122.61037 49.38004,-122.68925 49.34951,-122.78338 49.2803,-122.78135 49.21708,-122.70221 49.17548))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sagittaria latifolia"
 ]
}

 The dataset includes 22 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017635-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhhuxa
title: Occurrence Download

description: A dataset containing 77714 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ranunculus acris, Ranunculus acris, Ranunculus acris, Ranunculus acris)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 77714 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017624-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7d6mgg
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((-122.73831 49.36699,-122.79771 49.33852,-122.81228 49.253,-122.77641 49.18492,-122.60717 49.1688,-122.53096 49.21055,-122.48277 49.30345,-122.49061 49.36189,-122.58588 49.3991,-122.73831 49.36699))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lythrum salicaria"
 ]
}

 The dataset includes 100 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017637-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57783/tqd0-wc49
title: LibreChat
DOI: 10.17182/hepdata.159179.v1/t1
title: "Figure 2" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Recoil responses of different $\vec{p}^\mathrm{miss}_\mathrm{T}$ estimators in data and MC simulations after the $Z\to\mu\mu$ selections, as a function of $q_T$.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t4
title: "Figure 4-a" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\parallel}$ vs $N_\mathrm{vtx}$ of different $p_{T}^{miss}$ estimators in data and MC simulations after the $Z\to\mu\mu$ selections.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t5
title: "Figure 4-b" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\perp}$ vs $N_\mathrm{vtx}$ of different $p_{T}^{miss}$ estimators in data and MC simulations after the $Z\to\mu\mu$ selections.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t6
title: "Figure 5-a" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\parallel}$ vs $N_\mathrm{vtx}$ of different $p_{T}^{miss}$ estimators in data after the $Z\to\mu\mu$ selections, in the region with $q_T &lt; 50$ GeV.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t8
title: "Figure 6-a" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\parallel}$ vs $N_\mathrm{vtx}$ of different $p_{T}^{miss}$ estimators in data after the $Z\to\mu\mu$ selections, in the region with $q_T &gt; 50$ GeV.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t10
title: "Figure 8-a" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Distribution of $p_{T}^{miss}$ using different $\vec{p}_T^{miss}$ estimators in data after the $W\to\mu\nu$ selections.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t11
title: "Figure 8-b" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Distribution of $m_{T}$ using different $\vec{p}_T^{miss}$ estimators in data after the $W\to\mu\nu$ selections.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t2
title: "Figure 3-a" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\parallel}$ vs $q_T$ of different $\vec{p_{T}^{miss}}$ estimators in data after the $Z\to\mu\mu$ selections, as a function of $q_T$.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t3
title: "Figure 3-b" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\perp}$ vs $q_T$ of different $\vec{p_{T}^{miss}}$ estimators in data after the $Z\to\mu\mu$ selections, as a function of $q_T$.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t7
title: "Figure 5-b" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\perp}$ vs $N_\mathrm{vtx}$ of different $p_{T}^{miss}$ estimators in data after the $Z\to\mu\mu$ selections, in the region with $q_T &lt; 50$ GeV.
description: No data abstract available.
DOI: 10.17182/hepdata.159179.v1/t9
title: "Figure 6-b" of "DeepMET: Improving missing transverse momentum estimation with a deep neural network"

description: Response-corrected resolutions of $u_{\perp}$ vs $N_\mathrm{vtx}$ of different $p_{T}^{miss}$ estimators in data after the $Z\to\mu\mu$ selections, in the region with $q_T &gt; 50$ GeV.
description: No data abstract available.
DOI: 10.17182/hepdata.27035.v1/t1
title: "Table 1" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t2
title: "Table 2" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t3
title: "Table 3" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t5
title: "Table 5" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t9
title: "Table 9" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t10
title: "Table 10" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t12
title: "Table 12" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Integral over X of G1 using a NLO pQCD fit.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t4
title: "Table 4" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t6
title: "Table 6" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t7
title: "Table 7" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t8
title: "Table 8" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.27035.v1/t11
title: "Table 11" of "Measurements of the Q**2 dependence of the proton and neutron spin structure functions g1(p) and g1(n)."

description: Results for G1/F1 for the proton and neutron.
description: SLAC. Measurement of the structure function G1 of the proton and neutron over the X range 0.014 to 0.9 and Q**2 from 1 to 40 GeV**2 using deep inelastic scattering of 48 GeV longitudinally polarised electrons from polarised protons and deuterons. This part of the experiment measures G1(P). G1(N) is extracted by combining with measurements of G1(D) made in the same experiment using a Li6D target. (Anthony et al. Phys Lett B463(1999)339).
DOI: 10.17182/hepdata.32867.v1/t1
title: "Table 1" of "The reactions k- p ---&gt; lambda(sigma0) vector meson at 3.95 gev/c"

description: FORWARD AND BACKWARD CROSS SECTIONS ARE FOR COS(THETA) &gt; AND &lt; 0. SLOPE DETERMINED FOR -TP = 0.2 TO 1.0.
description: CERN 2M HBC. TO AVOID DEFORMATION OF BACKWARD PEAKS, TP IS HERE DEFINED BY -TP = ABS(TMIN-TMAX)*(1-COS(THETA))/2, WHERE THE CENTRAL MASSES OF THE RESONANCES ARE USED TO CALCULATE TMIN AND TMAX.
DOI: 10.17182/hepdata.32867.v1/t3
title: "Table 3" of "The reactions k- p ---&gt; lambda(sigma0) vector meson at 3.95 gev/c"

description: No description provided.
description: CERN 2M HBC. TO AVOID DEFORMATION OF BACKWARD PEAKS, TP IS HERE DEFINED BY -TP = ABS(TMIN-TMAX)*(1-COS(THETA))/2, WHERE THE CENTRAL MASSES OF THE RESONANCES ARE USED TO CALCULATE TMIN AND TMAX.
DOI: 10.17182/hepdata.32867.v1/t5
title: "Table 5" of "The reactions k- p ---&gt; lambda(sigma0) vector meson at 3.95 gev/c"

description: No description provided.
description: CERN 2M HBC. TO AVOID DEFORMATION OF BACKWARD PEAKS, TP IS HERE DEFINED BY -TP = ABS(TMIN-TMAX)*(1-COS(THETA))/2, WHERE THE CENTRAL MASSES OF THE RESONANCES ARE USED TO CALCULATE TMIN AND TMAX.
DOI: 10.17182/hepdata.32867.v1/t10
title: "Table 10" of "The reactions k- p ---&gt; lambda(sigma0) vector meson at 3.95 gev/c"

description: No description provided.
description: CERN 2M HBC. TO AVOID DEFORMATION OF BACKWARD PEAKS, TP IS HERE DEFINED BY -TP = ABS(TMIN-TMAX)*(1-COS(THETA))/2, WHERE THE CENTRAL MASSES OF THE RESONANCES ARE USED TO CALCULATE TMIN AND TMAX.