cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16791106
title: RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution

description: To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), we developed a global 0.005° SIF product (RSIF) covering May 2018 to December 2020 using the proposed One-Step Learned Spatial Redistribution Convolutional Neural Network (OSRNet). OSRNet directly redistributes coarse-resolution TROPOMI SIF into fine grids using high-resolution auxiliary variables, including MODIS reflectance, ERA5 reanalysis, GEBCO DEM, and cos(SZA). Validation against both original TROPOMI SIF and long-term tower-based SIF from five flux sites shows that RSIF improves agreement with coarse-resolution inputs and better captures fine-scale spatial details compared to traditional downscaling methods. RSIF represents clear-sky SIF and if needed, it can be readily converted to all-sky SIF using established correction factors.

This record serves as the parent dataset for the RSIF product covering the years 2018, 2019, and 2020. The complete dataset is split into three annual subsets due to Zenodo’s file size limitations:





2018: doi:10.5281/zenodo.16787900




2019: doi:10.5281/zenodo.16788564




2020: doi:10.5281/zenodo.16788879



Users are encouraged to cite this parent record when referencing the complete dataset, and to cite individual year records when using specific annual subsets.
DOI: 10.5281/zenodo.16791107
title: RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution

description: To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), we developed a global 0.005° SIF product (RSIF) covering May 2018 to December 2020 using the proposed One-Step Learned Spatial Redistribution Convolutional Neural Network (OSRNet). OSRNet directly redistributes coarse-resolution TROPOMI SIF into fine grids using high-resolution auxiliary variables, including MODIS reflectance, ERA5 reanalysis, GEBCO DEM, and cos(SZA). Validation against both original TROPOMI SIF and long-term tower-based SIF from five flux sites shows that RSIF improves agreement with coarse-resolution inputs and better captures fine-scale spatial details compared to traditional downscaling methods. RSIF represents clear-sky SIF and if needed, it can be readily converted to all-sky SIF using established correction factors.

This record serves as the parent dataset for the RSIF product covering the years 2018, 2019, and 2020. The complete dataset is split into three annual subsets due to Zenodo’s file size limitations:





2018: doi:10.5281/zenodo.16787900




2019: doi:10.5281/zenodo.16788564




2020: doi:10.5281/zenodo.16788879



Users are encouraged to cite this parent record when referencing the complete dataset, and to cite individual year records when using specific annual subsets.
DOI: 10.15468/dl.z5ct4v
title: Occurrence Download

description: A dataset containing 1868 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gladiolus brevifolius"
 ]
}

 The dataset includes 1868 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021888-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6e9uv
title: Occurrence Download

description: A dataset containing 218 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calepina irregularis",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 218 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021887-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jzw6un
title: Occurrence Download

description: A dataset containing 59 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-46.63039 39.54958,-24.13039 39.54958,-24.13039 55.28658,-46.63039 55.28658,-46.63039 39.54958))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oceanites oceanicus"
 ]
}

 The dataset includes 59 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021889-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8tvbq2
title: Occurrence Download

description: A dataset listing the 633 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON Z((18.16375 -33.32601 0,18.16423 -33.32601 0,18.16396 -33.32812 0,18.164 -33.32844 0,18.16429 -33.32915 0,18.16432 -33.33015 0,18.1648 -33.3307 0,18.16494 -33.33234 0,18.16471 -33.33284 0,18.16467 -33.33354 0,18.16482 -33.33437 0,18.16604 -33.33438 0,18.16607 -33.33612 0,18.16642 -33.33622 0,18.16692 -33.3367 0,18.16703 -33.33709 0,18.16789 -33.33432 0,18.16789 -33.33349 0,18.16783 -33.32756 0,18.16521 -33.32763 0,18.16438 -33.32114 0,18.16372 -33.32114 0,18.16375 -33.32601 0))",
 "Geometry POLYGON Z((18.16377 -33.32597 0,18.16481 -33.326 0,18.16444 -33.32265 0,18.16442 -33.3223 0,18.16434 -33.32175 0,18.16424 -33.32155 0,18.16406 -33.32137 0,18.16375 -33.32123 0,18.16377 -33.32597 0))",
 "Geometry POLYGON((18.1547 -33.31246,18.15985 -33.32534,18.16145 -33.33383,18.16166 -33.34079,18.16222 -33.34893,18.19298 -33.34462,18.1902 -33.33014,18.187 -33.31504,18.18379 -33.30536,18.16667 -33.30968,18.1547 -33.31246))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 633 records were derived from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021875-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16787899
title: RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution – 2018

description: To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), a global 0.005-degree SIF product (namely, RSIF) from May 2018 to December 2020 was generated using the proposed One-Step Learned Spatial Redistribution Convolutional Neural Network (OSRNet). The OSRNet model directly redistributes coarse-resolution TROPOMI SIF into fine grids using high-resolution auxiliary variables, including MODIS reflectance, ERA5 reanalysis, GEBCO DEM, and cos(SZA). This dataset has been validated against both the original TROPOMI SIF and long-term tower-based SIF from five flux sites, demonstrating improved agreement with coarse-resolution inputs and better representation of fine-scale spatial details compared to traditional downscaling methods. RSIF represents clear-sky SIF and if needed, it can be readily converted to all-sky SIF using established correction factors. This database contains the subset of the RSIF product for the year 2018.
DOI: 10.5281/zenodo.16787900
title: RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution – 2018

description: To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), a global 0.005-degree SIF product (namely, RSIF) from May 2018 to December 2020 was generated using the proposed One-Step Learned Spatial Redistribution Convolutional Neural Network (OSRNet). The OSRNet model directly redistributes coarse-resolution TROPOMI SIF into fine grids using high-resolution auxiliary variables, including MODIS reflectance, ERA5 reanalysis, GEBCO DEM, and cos(SZA). This dataset has been validated against both the original TROPOMI SIF and long-term tower-based SIF from five flux sites, demonstrating improved agreement with coarse-resolution inputs and better representation of fine-scale spatial details compared to traditional downscaling methods. RSIF represents clear-sky SIF and if needed, it can be readily converted to all-sky SIF using established correction factors. This database contains the subset of the RSIF product for the year 2018.
DOI: 10.15468/dl.gnkjbs
title: Occurrence Download

description: A dataset containing 567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calepina irregularis",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 567 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021892-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnyeze
title: Occurrence Download

description: A dataset containing 116 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cirrulicarpus gmelini"
 ]
}

 The dataset includes 116 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021890-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt56fn
title: Occurrence Download

description: A dataset containing 18945 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Psidium cattleianum"
 ]
}

 The dataset includes 18945 records from 362 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021891-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16788563
title: RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution – 2019

description: To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), a global 0.005-degree SIF product (namely, RSIF) from May 2018 to December 2020 was generated using the proposed One-Step Learned Spatial Redistribution Convolutional Neural Network (OSRNet). The OSRNet model directly redistributes coarse-resolution TROPOMI SIF into fine grids using high-resolution auxiliary variables, including MODIS reflectance, ERA5 reanalysis, GEBCO DEM, and cos(SZA). This dataset has been validated against both the original TROPOMI SIF and long-term tower-based SIF from five flux sites, demonstrating improved agreement with coarse-resolution inputs and better representation of fine-scale spatial details compared to traditional downscaling methods. RSIF represents clear-sky SIF and if needed, it can be readily converted to all-sky SIF using established correction factors. This database contains the subset of the RSIF product for the year 2019.
DOI: 10.5281/zenodo.16788564
title: RSIF: A 0.005° Global SIF Dataset Based on an End-to-End Convolutional Neural Network with Spatial Redistribution – 2019

description: To improve the spatial resolution and preserve the spatial fidelity of TROPOMI Solar-Induced chlorophyll Fluorescence (SIF), a global 0.005-degree SIF product (namely, RSIF) from May 2018 to December 2020 was generated using the proposed One-Step Learned Spatial Redistribution Convolutional Neural Network (OSRNet). The OSRNet model directly redistributes coarse-resolution TROPOMI SIF into fine grids using high-resolution auxiliary variables, including MODIS reflectance, ERA5 reanalysis, GEBCO DEM, and cos(SZA). This dataset has been validated against both the original TROPOMI SIF and long-term tower-based SIF from five flux sites, demonstrating improved agreement with coarse-resolution inputs and better representation of fine-scale spatial details compared to traditional downscaling methods. RSIF represents clear-sky SIF and if needed, it can be readily converted to all-sky SIF using established correction factors. This database contains the subset of the RSIF product for the year 2019.
DOI: 10.15468/dl.m37knm
title: Occurrence Download

description: A dataset containing 41221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Recurvirostra avosetta",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 41221 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021819-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2bv3r5
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Charybdis hongkongensis"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021894-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpbuyw
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Pantholops hodgsonii"
 ]
}

 The dataset includes 140 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021896-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.887f5pwj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (448 records)
DOI: 10.15468/dd.cwpy4n
title: Compiling and analyzing the non-native flora of a megadiverse Neotropical country: a new catalogue for continental Ecuador

description: Summary of data used in [paper](https://doi.org/10.3897/neobiota.100.147213) (dn)
DOI: 10.15468/dl.2u9ew4
title: Occurrence Download

description: A dataset containing 337 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peddiea fischeri",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 337 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021897-250827131500795/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/12948231
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.252twv
title: Occurrence Download

description: A dataset containing 19782 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mikania micrantha"
 ]
}

 The dataset includes 19782 records from 432 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021893-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9nfbik
title: Occurrence Download

description: A dataset containing 9056 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The tunicates collection (IT) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 9056 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000513-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usqu4e
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "Geometry POLYGON((15.08148 41.94855,16.8338 40.3775,17.5589 39.85016,18.07526 39.43817,18.38287 39.37225,18.77838 39.51508,19.02557 39.88312,18.90472 40.26764,18.63007 40.79498,17.75665 41.13556,16.6745 41.586,16.50421 41.93207,16.28998 42.11334,15.64728 42.17926,15.2298 42.08588,15.08148 41.94855))",
 "OccurrenceStatus is Present",
 "TaxonKey is Nematoda"
 ]
}

 The dataset includes 284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202365-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bgcm69
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((2.28366 50.73562,2.29183 50.73562,2.29183 50.74468,2.28366 50.74468,2.28366 50.73562))"
 ]
}

 The dataset includes 22 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178454-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lkitdl
title: Occurrence Download

description: A dataset containing 358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelagia noctiluca (Forsskål, 1775)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 358 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000513-150523225239109/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxsrd5
title: Occurrence Download

description: A dataset containing 8913 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Antrozous pallidus (LeConte, 1856)"
 ]
}

 The dataset includes 8913 records from 109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202374-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.safafr
title: Occurrence Download

description: A dataset containing 31757 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lizard Island Research Station"
 ]
}

 The dataset includes 31757 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178447-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ov8x5s
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "TaxonKey is Setophaga townsendi (J.K.Townsend, 1837)",
 "TaxonKey is Dendroica townsendi (J.K.Townsend, 1837)"
 ]
 },
 "Country is Mexico",
 "HasCoordinate is true",
 "Geometry POLYGON((-99.173583 21.708473,-99.876708 21.585935,-100.931396 20.673905,-100.151367 19.942369,-99.250488 20.529933,-98.931884 21.176728,-99.173583 21.708473))"
 ]
}

 The dataset includes 36 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000513-150827100048397/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqrhv8
title: Occurrence Download

description: A dataset containing 179 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus patula Schiede ex Schltdl. & Cham.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "HasCoordinate is true",
 "DecimalLatitude is greater than or equal to -12",
 "DecimalLatitude is less than or equal to 0.25",
 "DecimalLongitude is greater than or equal to 28",
 "DecimalLongitude is less than or equal to 41.25",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 179 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024920-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r47h25
title: Occurrence Download

description: A dataset containing 22357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sterna trudeaui Audubon, 1838"
 ]
}

 The dataset includes 22357 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001819-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5ddgx
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brownea coccinea Jacq.",
 "Country is Ecuador",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -82,-180 82,180 82,180 -82,-180 -82))"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000513-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j0epwv
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Olea capensis L.",
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Material sample"
 ]
 },
 "HasCoordinate is true",
 "DecimalLatitude is greater than or equal to -12",
 "DecimalLatitude is less than or equal to 0.25",
 "DecimalLongitude is greater than or equal to 28",
 "DecimalLongitude is less than or equal to 41.25",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1985",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 33 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024918-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nt28qt
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peperomia uncatispica Trel."
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184201-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5d8xy
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Disa porrecta Sw."
 ]
}

 The dataset includes 48 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0178463-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.