cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vg2jzc
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-121.3213913999999960 37.9540553000000003, -121.3213913999999960 37.9551572299999975, -121.3213913999999960 37.9557869100000005, -121.3213913999999960 37.9567314199999970, -121.3213913999999960 37.9577284100000014, -121.3213913999999960 37.9583580899999973, -121.3213913999999960 37.9593026000000009, -121.3203934000000004 37.9593026000000009, -121.3191326900000035 37.9593026000000009, -121.3181871599999937 37.9593026000000009, -121.3174517399999957 37.9593026000000009, -121.3166112699999957 37.9593026000000009, -121.3157707999999957 37.9593026000000009, -121.3147202100000044 37.9593026000000009, -121.3137221500000038 37.9593026000000009, -121.3131443300000001 37.9593026000000009, -121.3120937399999946 37.9593026000000009, -121.3114108500000015 37.9593026000000009, -121.3105178499999965 37.9593026000000009, -121.3095197899999960 37.9593026000000009, -121.3083116100000041 37.9593026000000009, -121.3069458500000053 37.9593026000000009, -121.3054224899999980 37.9593026000000009, -121.3042669000000018 37.9593026000000009, -121.3042669000000018 37.9585155099999980, -121.3042669000000018 37.9577284100000014, -121.3042669000000018 37.9566789499999970, -121.3042669000000018 37.9559443300000012, -121.3042669000000018 37.9552097099999983, -121.3042669000000018 37.9540553000000003, -121.3053699599999931 37.9540553000000003, -121.3066306700000041 37.9540553000000003, -121.3081540299999972 37.9540553000000003, -121.3088369099999966 37.9540553000000003, -121.3099925599999978 37.9540553000000003, -121.3112532699999946 37.9540553000000003, -121.3120412100000038 37.9540553000000003, -121.3134594999999933 37.9540553000000003, -121.3148778000000050 37.9540553000000003, -121.3159809200000012 37.9540553000000003, -121.3175042700000006 37.9540553000000003, -121.3188700399999931 37.9540553000000003, -121.3203934000000004 37.9540553000000003, -121.3213913999999960 37.9540553000000003))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1932",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Observation, Specimen, Machine Observation)"
 ]
}

 The dataset includes 142 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092278-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111144851
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.c68swq
title: Occurrence Download

description: A dataset containing 461 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Peru",
 "GadmGid is PER.16_1",
 "TaxonKey is Charadrius vociferus Linnaeus, 1758"
 ]
}

 The dataset includes 461 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092290-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111144858
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.pmc68n
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Juncus fascinatus (M.C.Johnst.) W.M.Knapp)"
 ]
}

 The dataset includes 66 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060859-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111144893
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111145117
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.nkyfwn
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arceuthobium oxycedri (DC.) M.Bieb.",
 {
 "or" : [
 "Country is United States of America",
 "Country is United States",
 "Country is United States of America",
 "Country is Canada",
 "Continent is North America"
 ]
 }
 ]
}

 The dataset includes 8 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0132103-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wckq52
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Arceuthobium campylopodum subsp. microcarpum (Engelm.) Nickrent)"
 ]
}

 The dataset includes 159 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060860-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111145033
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.x99r8z
title: Occurrence Download

description: A dataset containing 2162 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Tephroseris integrifolia subsp. integrifolia"
 ]
}

 The dataset includes 2162 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127029-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111145125
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111145093
title: Incription in Kawi Script,

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.15468/dl.7myrvk
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation"
 ]
 },
 {
 "or" : [
 "GadmGid is ARE",
 "GadmGid is BHR",
 "GadmGid is SAU",
 "GadmGid is YEM",
 "GadmGid is SYR",
 "GadmGid is IRQ",
 "GadmGid is IRN",
 "GadmGid is ISR",
 "GadmGid is CYP",
 "GadmGid is XNC",
 "GadmGid is QAT",
 "GadmGid is JOR",
 "GadmGid is PSE.1.2_1",
 "GadmGid is PSE.1_1",
 "GadmGid is OMN",
 "GadmGid is KWT",
 "GadmGid is LBN",
 "GadmGid is TUR"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rostratulidae"
 ]
}

 The dataset includes 134 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0127021-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111145100
title: Incription in Kawi Script

description: [Text Description:] Incription in Kawi Script ❧ [Excavation Description:] Incription in Kawi Script ❧ [Medium:] Metal ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Foil ❧ [Physical Object Note:] Metal
DOI: 10.25549/inscriptifact-ouc111144172
title: Rambahan inscription II, MNI D6469

description: [Text Description:] Rambahan inscription II ❧ [Text or Publication Number Note:] MNI D6469 ❧ [Excavation Description:] Sanskrit Inscription ❧ [Medium:] Stone ❧ [Script Note:] Kawi ❧ [Physical Object Description:] Base of sculpture in high relief ❧ [Physical Object Note:] Stone
DOI: 10.15468/dl.k6g8cy
title: Occurrence Download

description: A dataset containing 40214 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melinis repens (Willd.) Zizka, Heliotropium curassavicum L., Isolepis cernua (Vahl) Roem. & Schult.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40214 records from 574 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0184832-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9yjg7x
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhododendron indicum",
 "Country is India",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058430-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15745683
title: EL CMi: confirmation of triaxial pulsation theory

description: A set of inlists for MESA 23.05.1 working with SDK 23.7.3 and a resulting model reproducing the observational properites of EL CMi binary - a subject of "EL CMi: confirmation of triaxial pulsation theory", Handler et al. (in prep.).
DOI: 10.5281/zenodo.15745684
title: EL CMi: confirmation of triaxial pulsation theory

description: A set of inlists for MESA 23.05.1 working with SDK 23.7.3 and a resulting model reproducing the observational properites of EL CMi binary - a subject of "EL CMi: confirmation of triaxial pulsation theory", Handler et al. (in prep.).
DOI: 10.5281/zenodo.10491745
title: UFLUX 100m daily photosynthesis fluxes in northeastern UK 2021

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in northeastern UK 2021

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.5281/zenodo.10491744
title: UFLUX 100m daily photosynthesis fluxes in northeastern UK 2021

description: UFLUX Ensemble UK100mdaily (UK 100 Daily) in northeastern UK 2021

OverviewThe UFLUX ensemble dataset offers European fluxes at 100 m spatial resolution, generated using machine learning models. It integrates satellite-based Sentinel-1 backscatters and Sentinel-2 vegetation proxies NIRv with ERA5 climate reanalysis, and is trained against ICOS eddy covariance observations. It  includes five core flux components:





Gross Primary Production (GPP) [open access]




Ecosystem Respiration (RECO) [in progress]




Net Ecosystem Exchange (NEE) [in progress]




Sensible Heat Flux (H) [in progress]




Latent Energy Flux (LE) [in progress]



Background and MethodologyThe Unified FLUXes (UFLUX) initiative is a data-driven, machine learning-based platform designed to upscale eddy covariance (EC) flux measurements from tower sites to the global scale. It aims to answer pressing questions about how effectively terrestrial ecosystems are managed under climate change.

Key innovations of UFLUX include:





Consistent Upscaling Framework: Harmonizes flux upscaling across spatial/temporal scales and multiple flux types (GPP, RECO, etc.) using deep decision tree-based methods, better suited than conventional neural networks for EC flux data.




Hybrid Explainable ML: Combines black-box ML with ecological interpretability through residual learning, offering both predictive power and new scientific insight (UFLUXv2).




Uncertainty Quantification: Employs sampling space completeness to assess model uncertainty in a transparent, robust manner.




Multisource Integration: Leverages complementary strengths of vegetation proxies (e.g., NIRv, SIF) and climate data (e.g., ERA5) to represent carbon dynamics more comprehensively than single-source approaches.




Superior Gap-Filling: Originally developed as a global EC flux gap-filling tool, UFLUX improves accuracy by up to 30% and reduces uncertainty by as much as 70% compared to traditional methods.




High Performance: Achieves strong predictive accuracy, with global-scale R² > 0.8 for RECO and ≈0.9 for GPP, while being computationally efficient enough to run on a standard laptop.




Community Adoption: Already used by other global upscaling projects, highlighting its reliability and impact.



ApplicationsUFLUX is ideal for studying the interactions between land management, climate change, and carbon fluxes, particularly in improving global estimates of GPP and RECO by addressing biases in EC measurements.

Resources



UFLUX Website: https://sites.google.com/view/uflux



Code Repository: https://github.com/soonyenju/uflux




Technical & Descriptive Publication: https://doi.org/10.1080/01431161.2024.2312266
DOI: 10.3535/zxt-h65-z2b
title: Lythrum salicaria L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0022035.10fu
title: SH0022035.10FU

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: 10.3535/11d-1wm-9lc
title: Viola tricolor L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/pa6-dlj-h01
title: Viola tricolor L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0022036.10fu
title: SH0022036.10FU

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: 10.3535/j1e-88z-0n4
title: Viola selkirkii Pursh ex Goldie

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/wc8-p5n-kyb
title: Elatine alsinastrum L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0022037.10fu
title: SH0022037.10FU

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.z7nau9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"FIN.1.2_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0075011-251120083545085/datasets/export for details.
DOI: 10.3535/1ea-kfn-aed
title: Elatine L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/cbd-hzd-vnp
title: Viola tricolor L.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0022038.10fu
title: SH0022038.10FU

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: 10.3535/rb5-6jg-al6
title: Viola riviniana Rchb.

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15156/bio/sh0022039.10fu
title: SH0022039.10FU

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.