cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0173960.10fu
title: SH0173960.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.15664974
title: TCOM-HNO3 : TOMCAT CTM and Occultation Mesurement based daily HNO3 profile data set

description: The TOMCAT simulation was conducted at a T64L32 resolution, consistent with previous work by Dhomse and Chipperfield (2023), covering the period from 2000 to 2024. These simulations utilized ERA-5 reanalysis data.

HNO3 Profile Processing and Bias Correction

Collocated HNO3 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, TOMCAT tracers are interpolated on the ACE FTS height (1km to 50km) Separate XGBoost regression models are trained to predict ACE FTS measurements for a given altitude /latitude bin if more than 2000 measurements are available. XGBoost model is then used to estimate HNO3 volume mixing ratios for all the TOMCAT grids.  Height resolved data are then interpolated on 22-pressure levels. For overlapping latitude bins, we use averages and then calculate daily zonal mean values.  For more details see attached presentation.

Dataset also includes two files containing daily mean zonal mean HNO3 profiles on height (1-50 km) and pressure (300-1 hPa) – 22 levels (9132 days/64 latitudes). Files also include uncertainties estimated using quantile regression and uncertainty = NaN means data is from TOMCAT CTM (scientifically useful range 5 to 25km).

zmhno3_tcom_hlev_2000-2024_V2.0.nc – height level data (1 to 50 km)

zmhno3_tcom_plev_2000-2024_V2.0.nc – pressure level data (300 to 1 hPa)

Daily 3D profiles on height and pressure levels would be made available on request. Xarrays “resample” can be used to get monthly means.

(Attached pdf file gives more details. This data set improves from our previous methodology (Dhomse and Chipperfield, 2023, ESSD) and manuscript describing to those updates is submitted to ESSD as Dhomse and Chipperfield, 2026.

 

Reference Publications

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

Dhomse, S. S. and Chipperfield, M. P.: TCOM-CFC11 and TCOM-CFC12: A Gap-Free, Observationally Constrained Global Dataset of Stratospheric CFC11 and CFC12 Profiles (V2)., submitted to Earth Syst. Sci. Data, 2026
DOI: 10.5281/zenodo.18199002
title: TCOM-HNO3 : TOMCAT CTM and Occultation Mesurement based daily HNO3 profile data set

description: The TOMCAT simulation was conducted at a T64L32 resolution, consistent with previous work by Dhomse and Chipperfield (2023), covering the period from 2000 to 2024. These simulations utilized ERA-5 reanalysis data.

HNO3 Profile Processing and Bias Correction

Collocated HNO3 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, TOMCAT tracers are interpolated on the ACE FTS height (1km to 50km) Separate XGBoost regression models are trained to predict ACE FTS measurements for a given altitude /latitude bin if more than 2000 measurements are available. XGBoost model is then used to estimate HNO3 volume mixing ratios for all the TOMCAT grids.  Height resolved data are then interpolated on 22-pressure levels. For overlapping latitude bins, we use averages and then calculate daily zonal mean values.  For more details see attached presentation.

Dataset also includes two files containing daily mean zonal mean HNO3 profiles on height (1-50 km) and pressure (300-1 hPa) – 22 levels (9132 days/64 latitudes). Files also include uncertainties estimated using quantile regression and uncertainty = NaN means data is from TOMCAT CTM (scientifically useful range 5 to 25km).

zmhno3_tcom_hlev_2000-2024_V2.0.nc – height level data (1 to 50 km)

zmhno3_tcom_plev_2000-2024_V2.0.nc – pressure level data (300 to 1 hPa)

Daily 3D profiles on height and pressure levels would be made available on request. Xarrays “resample” can be used to get monthly means.

(Attached pdf file gives more details. This data set improves from our previous methodology (Dhomse and Chipperfield, 2023, ESSD) and manuscript describing to those updates is submitted to ESSD as Dhomse and Chipperfield, 2026.

 

Reference Publications

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

Dhomse, S. S. and Chipperfield, M. P.: TCOM-CFC11 and TCOM-CFC12: A Gap-Free, Observationally Constrained Global Dataset of Stratospheric CFC11 and CFC12 Profiles (V2)., submitted to Earth Syst. Sci. Data, 2026
DOI: 10.15156/bio/sh0173961.10fu
title: SH0173961.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0173962.10fu
title: SH0173962.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0173963.10fu
title: SH0173963.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0173964.10fu
title: SH0173964.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.eydhpf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11895650","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022993-241024112534372/datasets/export for details.
DOI: 10.15468/dl.mabkwz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11894737","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022992-241024112534372/datasets/export for details.
DOI: 10.15468/dl.7fav9j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11899392","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022994-241024112534372/datasets/export for details.
DOI: 10.15468/dl.6uxvp2
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao, Chinese Taipei)",
 "TaxonKey is Arthrophytum longibracteatum Korovin"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022996-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.azwfg7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11899469","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022997-241024112534372/datasets/export for details.
DOI: 10.15468/dl.u5v9fm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11903430","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022999-241024112534372/datasets/export for details.
DOI: 10.15468/dl.d86f4z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"TAXON_KEY","value":"11902919","matchCase":false},{"type":"equals","key":"OCCURRENCE_STATUS","value":"PRESENT","matchCase":false},{"type":"equals","key":"HAS_COORDINATE","value":"true","matchCase":false},{"type":"equals","key":"HAS_GEOSPATIAL_ISSUE","value":"false","matchCase":false},{"type":"lessThan","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"in","key":"YEAR","values":["2008","2009","2010","2011","2012","2013","2014","2015","2016","2017","2018","2019","2020","2021","2022","2023","2024"],"matchCase":false},{"type":"in","key":"BASIS_OF_RECORD","values":["LIVING_SPECIMEN","HUMAN OBSERVATION","OBSERVATION","OCCURRENCE","MACHINE_OBSERVATION"],"matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022998-241024112534372/datasets/export for details.
DOI: 10.15468/dl.djrh2a
title: Occurrence Download

description: A dataset containing 64023 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Hong Kong",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 64023 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022995-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nu2exh
title: Occurrence Download

description: A dataset containing 2006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Macao",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 2006 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023000-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aajwcz
title: Occurrence Download

description: A dataset containing 683434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Saxifragaceae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2021",
 "Geometry POLYGON((-30 25,50 25,50 75,-30 75,-30 25))"
 ]
}

 The dataset includes 683434 records from 1642 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022956-241024112534372/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/xardv8
title: A new species of Cyrtodactylus Gray, 1827 (Squamata, Gekkonidae) from Yunnan Nangunhe National Nature Reserve, China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Liu, Shuo, Li, Zhimin, Duan, Wenguang, Hou, Mian, Rao, Dingqi (2025): A new species of Cyrtodactylus Gray, 1827 (Squamata, Gekkonidae) from Yunnan Nangunhe National Nature Reserve, China. ZooKeys 1223: 69-86, DOI: 10.3897/zookeys.1223.137184AbstractA new forest-dwelling species of the Cyrtodactylus chauquangensis group is described from southwestern Yunnan Province, China. Phylogenetically, it was recovered as the sister species of C. zhenkangensis, with a genetic distance of 9.2 % in the ND 2 gene. Morphologically, the new species can be separated from C. zhenkangensis by the discontinuity of enlarged femoral scales and enlarged precloacal scales, the absence of femoral pores, and the difference in dorsal color pattern. In addition, although the new species and C. zhenkangensis are distributed relatively close, their habitats are clearly different. Cyrtodactylus zhenkangensis inhabits karst limestone, while the new species inhabits forest. The new species is the 29 th species of the C. chauquangensis group and the third forest-dwelling species of this group.
DOI: 10.15468/3t5t58
title: Redescription of Myotis atacamensis (Chiroptera: Vespertilionidae) with neotype designation

description: This dataset contains the digitized treatments in Plazi based on the original journal article Novaes, Roberto Leonan M., LaVal, Richard K., Wilson, Don E., Moratelli, Ricardo (2022): Redescription of Myotis atacamensis (Chiroptera: Vespertilionidae) with neotype designation. Zoologia (e 21026) 39: 1-10, DOI: 10.1590/S1984-4689.v39.e21026, URL: http://dx.doi.org/10.1590/s1984-4689.v39.e21026
DOI: 10.15468/r7u934
title: Cremastobombycia socoromaensis sp. nov., the first South American representative of the micromoth genus Cremastobombycia Braun (Lepidoptera, Gracillariidae, Lithocolletinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Vargas, Héctor A. (2024): Cremastobombycia socoromaensis sp. nov., the first South American representative of the micromoth genus Cremastobombycia Braun (Lepidoptera, Gracillariidae, Lithocolletinae). ZooKeys 1218: 333-342, DOI: 10.3897/zookeys.1218.135606AbstractThe micromoth Cremastobombycia socoromaensis sp. nov. (Lepidoptera, Gracillariidae, Lithocolletinae) from the arid highlands of the western slope of the Andes of northern Chile is described and illustrated. Larvae construct bulged leaf mines on the shrub Baccharis tola Phil. (Asteraceae). Pupation occurs in a silk cocoon constructed by the last instar larva inside the mine. The cocoon and the mine surface are pierced by the frontal process of the pupa to allow adult emergence. This discovery represents the first record of Cremastobombycia Braun, 1908 in South America.
DOI: 10.15468/27xvku
title: Description, biology and conservation of a new species of Australian tree frog (Amphibia: Anura: Hylidae: Litoria) and an assessment of the remaining populations of Litoria genimaculata Horst, 1883: systematic and conservation implications of an unusual speciation event

description: This dataset contains the digitized treatments in Plazi based on the original journal article Hoskin, Conrad J. (2007): Description, biology and conservation of a new species of Australian tree frog (Amphibia: Anura: Hylidae: Litoria) and an assessment of the remaining populations of Litoria genimaculata Horst, 1883: systematic and conservation implications of an unusual speciation event. Biological Journal of the Linnean Society 91: 549-563, DOI: 10.1111/j.1095-8312.2007.00805.x