cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15235308
title: Measurements of CO2 and CH4 fluxes from the Solforata of Pomezia (Central Italy)
title: Misure del flusso di CO2 e CH4 presso la Solforata di Pomezia (Italia centrale)

description: Understanding the dynamics of deep fluid systems is crucial for assessing volcanic activity and its environmental impact. This study investigates the diffusive emissions from the Solforata of Pomezia, revealing a significant release of CO2 and CH4 (19.8 tons/day  and 67.3 kg/day respectively). This area is charachterized by anomalous degassing from the soil and by the presence of CO2-rich free gas vents. The latter rise either from (i) small fractures and/or (ii) as bubbling. This phenomenon is contextually releated to the geomorphology of the area; on one hand the seismic activity, which characterise the area, can lead to the opening of new fractures, on the other hand the thermal water circulation can cause the closure of others. Monitoring through discrete field campaigns becomes imperative to assess the emission rate and its variations over time. Furthermore, isotopic markers (such as noble gases ratio), elucidate the origin of these emissions (likely mantle), offering insights of fluid migration and volcanic processes. This research underscores the necessity of ongoing monitoring efforts in volcanic areas to mitigate risks and safeguard both public health and the environment.
DOI: 10.5281/zenodo.15037658
title: CRIRES+ and CARMENES reduced spectroscopic observations of TOI-2109

description: CRIRES+ and CARMENES reduced spectroscopic observations of TOI-2109

This records contains the reduced data as used in the publication of Cont et al. 2025 "Retrieving day- and nightside atmospheric properties of the ultra-hot Jupiter TOI-2109b. Detection of Fe and CO emission lines and evidence for inefficient heat transport" currently in press with Astronomy & Astrophysics and available as preprint on arXiv.

Links to the publication:



ADS: TBD

arXiv: TBD


The data reduction steps for CRIRES+ and CARMENES data are explained in sect. 2 of the article

Acknowledgements

If you make use of this data in your research, please cite the Cont et al. 2025 article and this record with its DOI (10.5281/zenodo.15037659) and its reference, the bibtex reference is:

@dataset{lavail_2025_15037659,  author       = {Lavail, Alexis},  title        = {CRIRES+ and CARMENES reduced spectroscopic                   observations of TOI-2109                  },  month        = mar,  year         = 2025,  publisher    = {Zenodo},  version      = {1.0},  doi          = {10.5281/zenodo.15037659},  url          = {https://doi.org/10.5281/zenodo.15037659},}

Note also that ESO requests an acknowledgement, which in this case would be: "Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 113.26GE".

This data is released under a Creative Commons Attribution 4.0 International license.

CRIRES+ data

The CRIRES+ data is following the same format as other records such as https://zenodo.org/records/11637332. The CRIRES+ data files are the following :



240408_TOI2109.pickle

240408_TOI2109_order1.pickle

240409_TOI2109.pickle

240409_TOI2109-order1.pickle

240526_TOI2109.pickle

240526_TOI2109-order1.pickle


The standard files for each date are named YYMMDD_TOI2109.pickle. They contain the full spectrum, except the part of the first spectral order on the left-most detector. That wavelength segment is not reduced by default by the pipeline because it is slightly out of the detector on one of the nodding position. We used a custom reduction to be able to reduce this order, and it is contained in the YYMMDD_TOI2109-order1.pickle files. The reduction was done on a restricted fraction of the slit.

CARMENES data

The CARMENES reduced spectra are in the TOI2109.zip archive. The archive contains a README file (README_TOI2109.txt) explaining the data.
DOI: 10.5281/zenodo.15037659
title: CRIRES+ and CARMENES reduced spectroscopic observations of TOI-2109

description: CRIRES+ and CARMENES reduced spectroscopic observations of TOI-2109

This records contains the reduced data as used in the publication of Cont et al. 2025 "Retrieving day- and nightside atmospheric properties of the ultra-hot Jupiter TOI-2109b. Detection of Fe and CO emission lines and evidence for inefficient heat transport" currently in press with Astronomy & Astrophysics and available as preprint on arXiv.

Links to the publication:



ADS: TBD

arXiv: TBD


The data reduction steps for CRIRES+ and CARMENES data are explained in sect. 2 of the article

Acknowledgements

If you make use of this data in your research, please cite the Cont et al. 2025 article and this record with its DOI (10.5281/zenodo.15037659) and its reference, the bibtex reference is:

@dataset{lavail_2025_15037659,  author       = {Lavail, Alexis},  title        = {CRIRES+ and CARMENES reduced spectroscopic                   observations of TOI-2109                  },  month        = mar,  year         = 2025,  publisher    = {Zenodo},  version      = {1.0},  doi          = {10.5281/zenodo.15037659},  url          = {https://doi.org/10.5281/zenodo.15037659},}

Note also that ESO requests an acknowledgement, which in this case would be: "Based on observations made with ESO Telescopes at the La Silla Paranal Observatory under programme ID 113.26GE".

This data is released under a Creative Commons Attribution 4.0 International license.

CRIRES+ data

The CRIRES+ data is following the same format as other records such as https://zenodo.org/records/11637332. The CRIRES+ data files are the following :



240408_TOI2109.pickle

240408_TOI2109_order1.pickle

240409_TOI2109.pickle

240409_TOI2109-order1.pickle

240526_TOI2109.pickle

240526_TOI2109-order1.pickle


The standard files for each date are named YYMMDD_TOI2109.pickle. They contain the full spectrum, except the part of the first spectral order on the left-most detector. That wavelength segment is not reduced by default by the pipeline because it is slightly out of the detector on one of the nodding position. We used a custom reduction to be able to reduce this order, and it is contained in the YYMMDD_TOI2109-order1.pickle files. The reduction was done on a restricted fraction of the slit.

CARMENES data

The CARMENES reduced spectra are in the TOI2109.zip archive. The archive contains a README file (README_TOI2109.txt) explaining the data.
DOI: 10.15468/dl.wrnt9t
title: Occurrence Download

description: A dataset containing 1601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Serranus hepatus (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1601 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004643-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezy4eb
title: Occurrence Download

description: A dataset containing 6516 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Coturnix delegorguei Delegorgue, 1847"
 ]
}

 The dataset includes 6516 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029283-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arwjq2
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.30476 4.46697,-75.29171 4.46972,-75.2766 4.46079,-75.27798 4.46629,-75.26939 4.67262,-75.37239 4.6637,-75.40913 4.58782,-75.46337 4.55761,-75.45101 4.48895,-75.38509 4.48071,-75.32604 4.47109,-75.32055 4.47796,-75.30476 4.46697))",
 "HasCoordinate is true",
 "TaxonKey is Mammalia",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 189 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014816-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bng23f
title: Occurrence Download

description: A dataset containing 1145732 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 {
 "or" : [
 "Year is 2020",
 "Year is 2022"
 ]
 },
 "StateProvince is one of (antioquia, santander)"
 ]
 }
 ]
}

 The dataset includes 1145732 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051298-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2019-10.1878941/2366131
title: Data for EMSL Project 48666 from October 2019
DOI: 10.15468/dl.3gd4at
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dombeya ranofotsyensis Arènes"
 ]
}

 The dataset includes 50 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029238-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cd6c43
title: Occurrence Download

description: A dataset containing 712480 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Triodanis perfoliata subsp. biflora (Ruiz & Pav.) Lammers, Mecardonia procumbens (Mill.) Small, Physalis pubescens L., Physalis philadelphica Lam., Physalis angulata L., Datura metel L., Solanum rostratum Dunal, Solanum pseudocapsicum var. diflorum (Vell.) Bitter, Cuscuta epilinum Weihe, Cuscuta campestris Yunck., Cuscuta approximata Bab., Richardia scabra L., Spermacoce remota Lam., Hexasepalum teres (Walter) J.H.Kirkbr., Talinum paniculatum (Jacq.) Gaertn., Mirabilis jalapa L., Tetragonia tetragonoides (Pall.) Kuntze, Amaranthus celosioides Kunth, Gypsophila vaccaria (L.) Sm., Agrostemma githago L., Stellaria pallida (Dumort.) Crép., Cerastium glomeratum Thuill., Raphanus raphanistrum L.)"
 ]
}

 The dataset includes 712480 records from 3537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039489-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0185504.10fu
title: SH0185504.10FU

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/sh0185505.10fu
title: SH0185505.10FU

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/sh0185506.10fu
title: SH0185506.10FU

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/sh0185507.10fu
title: SH0185507.10FU

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.tzsmkq
title: Occurrence Download

description: A dataset containing 260 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (USA.8_1, USA.21_1, USA.31_1, USA.39_1, USA.47_1, USA.49_1, USA.9_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Melitta melittoides, Melissodes apicatus, Colletes productus, Colletes ciliatus, Andrena phaceliae, Andrena nida, Andrena macoupinensis, Andrena lamelliterga, Andrena geranii, Andrena erythrogaster)"
 ]
}

 The dataset includes 260 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001830-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0185508.10fu
title: SH0185508.10FU

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: 10.21227/r06q-dg06
title: "Nonverbal Behavior in Film Dataset "

description: "The DNVF provides: (1) a large, systematically coded corpus that covers the main dimensions of nonverbal behavior \u2013facial expression, gesture, posture, body movement, interpersonal distance, orientation, and physical contact\u2013; (2) alignment of behavioral annotation with the identification of underlying verbal communicative intentions; (3) temporal stratification across scenes from two distinct periods (1950s and 2000s), supporting diachronic comparisons of cinematic conventions; (4) incorporation of gender as a core analytical variable. This resource advances empirical, context-sensitive research on nonverbal communication in film and provides a foundation for computational approaches to embodied interaction analysis. "
DOI: 10.15156/bio/sh0185509.10fu
title: SH0185509.10FU

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/sh0185510.10fu
title: SH0185510.10FU

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/sh0185511.10fu
title: SH0185511.10FU

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/sh0185512.10fu
title: SH0185512.10FU

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/sh0185513.10fu
title: SH0185513.10FU

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.