cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26050/wdcc/ar6.c6danccnlhn
title: IPCC DDC: NCC NorESM2-LM model output prepared for CMIP6 DAMIP hist-nat

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.NCC.NorESM2-LM.hist-nat' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The NorESM2-LM (low atmosphere-medium ocean resolution, GHG concentration driven) climate model, released in 2017, includes the following components: aerosol: OsloAero, atmos: CAM-OSLO (2 degree resolution; 144 x 96; 32 levels; top level 3 mb), atmosChem: OsloChemSimp, land: CLM, landIce: CISM, ocean: MICOM (1 degree resolution; 360 x 384; 70 levels; top grid cell minimum 0-2.5 m [native model uses hybrid density and generic upper-layer coordinate interpolated to z-level for contributed data]), ocnBgchem: HAMOCC, seaIce: CICE. The model was run by the NorESM Climate modeling Consortium consisting of CICERO (Center for International Climate and Environmental Research, Oslo 0349), MET-Norway (Norwegian Meteorological Institute, Oslo 0313), NERSC (Nansen Environmental and Remote Sensing Center, Bergen 5006), NILU (Norwegian Institute for Air Research, Kjeller 2027), UiB (University of Bergen, Bergen 5007), UiO (University of Oslo, Oslo 0313) and UNI (Uni Research, Bergen 5008), Norway. Mailing address: NCC, c/o MET-Norway, Henrik Mohns plass 1, Oslo 0313, Norway (NCC) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, landIce: 250 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.26050/wdcc/ar6.c6danggfdhn
title: IPCC DDC: NOAA-GFDL GFDL-ESM4 model output prepared for CMIP6 DAMIP hist-nat

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.NOAA-GFDL.GFDL-ESM4.hist-nat' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The GFDL-ESM4 climate model, released in 2018, includes the following components: aerosol: interactive, atmos: GFDL-AM4.1 (Cubed-sphere (c96) - 1 degree nominal horizontal resolution; 360 x 180 longitude/latitude; 49 levels; top level 1 Pa), atmosChem: GFDL-ATMCHEM4.1 (full atmospheric chemistry), land: GFDL-LM4.1, landIce: GFDL-LM4.1, ocean: GFDL-OM4p5 (GFDL-MOM6, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 75 levels; top grid cell 0-2 m), ocnBgchem: GFDL-COBALTv2, seaIce: GFDL-SIM4p5 (GFDL-SIS2.0, tripolar - nominal 0.5 deg; 720 x 576 longitude/latitude; 5 layers; 5 thickness categories). The model was run by the National Oceanic and Atmospheric Administration, Geophysical Fluid Dynamics Laboratory, Princeton, NJ 08540, USA (NOAA-GFDL) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 100 km, ocean: 50 km, ocnBgchem: 50 km, seaIce: 50 km.
DOI: 10.26050/wdcc/ar6.c6danrceshn
title: IPCC DDC: NCAR CESM2 model output prepared for CMIP6 DAMIP hist-nat

description: Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.DAMIP.NCAR.CESM2.hist-nat' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The CESM2 climate model, released in 2018, includes the following components: aerosol: MAM4 (same grid as atmos), atmos: CAM6 (0.9x1.25 finite volume grid; 288 x 192 longitude/latitude; 32 levels; top level 2.25 mb), atmosChem: MAM4 (same grid as atmos), land: CLM5 (same grid as atmos), landIce: CISM2.1, ocean: POP2 (320x384 longitude/latitude; 60 levels; top grid cell 0-10 m), ocnBgchem: MARBL (same grid as ocean), seaIce: CICE5.1 (same grid as ocean). The model was run by the National Center for Atmospheric Research, Climate and Global Dynamics Laboratory, 1850 Table Mesa Drive, Boulder, CO 80305, USA (NCAR) in native nominal resolutions: aerosol: 100 km, atmos: 100 km, atmosChem: 100 km, land: 100 km, landIce: 5 km, ocean: 100 km, ocnBgchem: 100 km, seaIce: 100 km.
DOI: 10.5281/zenodo.14986342
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.15

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.15 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.15.
DOI: 10.5281/zenodo.14986343
title: CMIP6 input data usage information for IPCC WGI AR6 figure 3.15

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 3.15 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 3.15.
DOI: 10.5281/zenodo.17237180
title: Audiocards: Structured Metadata Improves Audio Language Models for Sound Design

description: Paper abstract

Sound designers search for sounds in large sound effects libaries using aspects such as sound class or visual context. However, the metadata needed for such search is often missing or incomplete, and requires significant manual effort to add. Existing solutions to automate this task by generating metadata, i.e. captioning, and search using learned embeddings, i.e. text-audio retrieval, are not trained on metadata with the structure and information pertinent to sound design. To this end we propose audiocards, structured metadata grounded in acoustic attributes and sonic descriptors, by exploiting the world knowledge of LLMs. We show that training on audiocards improves downstream text-audio retrieval, descriptive captioning, and metadata generation on professional sound effects libraries. Moreover, audiocards also improve performance on general audio captioning and retrieval over the baseline single-sentence captioning approach. We release a curated dataset of sound effects audiocards to invite further research in audio language modeling for sound design.

Dataset: ASFx Eval Audiocards

We release ASFx Eval, a curated dataset of audiocards which are structured metadata with attributes pertinent to sound design such as noun-verb pairs  and example visual context . Using Pixtral-12B-2409 we generated 500 audiocards for corresponding audio files in Adobe Audition Sound Effects and manually screened them for incoherence and hallucinations. These audiocards can be used to evaluate audio language models on tasks such as structured metadata generation, text-audio retrieval, and audio captioning, by pairing them with the corresponding audio file using the filename column in the csv below. For example, the audiocard with filename "Impacts/Impact Metal Spatula Hits 08.wav" corresponds to the "Impact Metal Spatula Hits 08.wav" sound effect under the "Impacts" category. Each of the remaining columns corresponds to an audiocard field.

We also provide Universal Category System (UCS) category and subcategory tags. UCS is an ontology developed for sound design and commonly used to organize professional libraries. We generated UCS tags from a text classifier that achieved 96% accuracy on a separate dataset with human annotated tags. These tags can be used to evaluate audio language models and audio representations on UCS category and subcategory prediction for sound effects library management.

Please see the companion website for more details.
DOI: 10.15468/dl.ctj2by
title: Occurrence Download

description: A dataset containing 5431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudogobiopsis festivus, Pangio agma, Barbodes kuchingensis, Phallostethus lehi, Glyptothorax filicatus, Schistura sokolovi, Schistura kontumensis, Aphyocypris amnis, Stigmatogobius borneensis, Danio aesculapii, Pseudomystus sobrinus, Poropuntius krempfi, Poropuntius alloiopleurus, Oryzias songkhramensis, Opsariichthys hainanensis, Spinibarbichthys denticulatus, Acentrogobius brevirostris, Mugilogobius myxodermus, Oryzias asinua, Barbonymus mahakkamensis, Oreichthys parvus, Clupeoides borneensis, Oryzias curvinotus, Channa maculata, Squalidus atromaculatus, Eugnathogobius siamensis, Balitoropsis zollingeri, Cyclocheilichthys heteronema, Parambassis alleni, Pogoneleotris heterolepis, Poropuntius shanensis, Trigonostigma espei, Mystus castaneus, Epalzeorhynchos kalopterus, Cyclocheilichthys armatus, Amblyrhynchichthys truncatus, Barbichthys laevis, Cyclocheilichthys repasson, Devario ahlanderi, Neolissochilus subterraneus, Bostrychus microphthalmus, Schismatogobius limmoni, Oryzias celebensis, Mugilogobius cagayanensis, Homalopterula amphisquamata, Nemacheilus longipinnis, Schismatogobius risdawatiae, Oligolepis oligolepis, Parachela hypophthalmus, Rasbora spilotaenia, Rasbora jacobsoni, Pangio anguillaris, Glyptothorax platypogonides, Phenacostethus smithi, Bagrichthys hypselopterus, Hemisilurus heterorhynchus, Chromobotia macracanthus, Belodontichthys dinema, Toxotes sundaicus, Pectenocypris korthausae, Pseudogobiopsis lumbantobing, Betta spilotogena, Bagrichthys micranodus, Osphronemus goramy, Brachirus panoides, Auriglobus nefastus, Nemacheilus pfeifferae, Betta renata, Schismatogobius arscuttoli, Desmopuntius gemellus, Homalopterula heterolepis, Barbonymus gonionotus, Brachygobius xanthozonus, Rasbora caudimaculata, Kryptopterus bicirrhis, Channa micropeltes, Channa lucius, Homalopteroides tweediei, Helostoma temminckii, Clarias meladerma, Monopterus javanensis, Osteochilus microcephalus, Rasbora myersi, Parambassis wolffii, Albulichthys albuloides, Parambassis apogonoides, Crossocheilus cobitis, Osteochilus schlegelii, Mystus singaringan, Labeo chrysophekadion, Osteochilus melanopleurus, Trigonopoma pauciperforatum, Osteochilus vittatus, Lepidocephalichthys hasselti)",
 "HasCoordinate is true",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 5431 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0058499-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c8mgz
title: Occurrence Download

description: A dataset containing 624 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estado actual de conservación de liebres y conejos en categoría de riesgo en México"
 ]
}

 The dataset includes 624 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000085-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3ubbp
title: Occurrence Download

description: A dataset containing 787477 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-119.48305 34.79254,-117.10988 24.75033,-94.79798 10.70971,-84.21111 20.92298,-108.8883 33.5366,-112.08923 34.3499,-115.0643 33.76816,-119.48305 34.79254))",
 "HasGeospatialIssue is false",
 "TaxonKey is Streptopelia decaocto (Frivaldszky, 1838)"
 ]
}

 The dataset includes 787477 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000066-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqy8t5
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea gadorensis Blanca)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 40 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000086-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uya9ax
title: Occurrence Download

description: A dataset containing 376 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amolops hongkongensis (Pope & Romer, 1951)"
 ]
}

 The dataset includes 376 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000087-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28498397
title: Respuestas Estudiantes Encuesta de movilidad

description: Survey on mobility patterns of university studentsYear: 2024
DOI: 10.15468/dl.d3bqhw
title: Occurrence Download

description: A dataset containing 500808 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Neptune Deep-Sea Microfossil Occurrence Database"
 ]
}

 The dataset includes 500808 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000080-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxkjm6
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Centaurea pinnata Pau ex Vicioso)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2020"
 ]
}

 The dataset includes 30 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000088-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aupn6q
title: Occurrence Download

description: A dataset containing 127749 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Potentilla erecta (L.) Raeusch.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 127749 records from 256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000072-250226161807615/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.