cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15862206
title: From simulations to observations. Data release of mock TNG50 galaxies at 0.3 < z < 0.7 for WEAVE-StePS

description: We release the dataset linked to the publication Ikhsanova et al. 2025, consisting of multi-wavelength imaging and spectroscopic data of ∼ 750 galaxies at redshift z = 0.3, 0.5, and 0.7. In particular, we created this mock datasets from the TNG50 cosmological simulation, performed radiative transfer calculations using SKIRT v9.0 and extracted WEAVE-like fiber spectra (central 1.3 arcsec). 

Complementary, we built a mock imaging dataset obtained by convolving SKIRT flux densities with the response curve for multiple filters. We created SDSS ($ugriz$) images with spatial resolution of 0.396~arcsec~px$^{-1}$, ACS/WFC3 (F435W, F606W, F814W, F105W, F125W, F160W) images with spatial resolution of 0.03 and 0.06 arcsec~px$^{-1}$,  and NIRCam (F090W, F115W, F150W, F200W, F277W, F356W, F444W) images with native spatial resolution of 0.031 and 0.063 arcsec~px$^{-1}$ for the short and long channel, respectively.

This work provides a fundamental bench-test for the forthcoming WEAVE observations, providing the community with realistic mock spectra of galaxies that can be used to test currently available tools for deriving first-order stellar populations parameters (i.e., ages and metallicities) as well as more complex diagnostics such as mass and star formation histories.
DOI: 10.21227/6cts-qb75
title: "Moroccan Traffic Sign Recognition"

description: "The Moroccan Traffic Sign Recognition (MTSR) dataset is a novel and region-specific benchmark developed to advance both conventional Traffic Sign Recognition (TSR) tasks and Explainable Artificial Intelligence (XAI) research. Comprising 2,111 annotated images across 20 traffic sign categories, the dataset captures diverse real-world conditions from various Moroccan cities and regions. Images were collected under varying lighting, weather, and traffic conditions, and include different angles and occlusions to enhance model generalizability.Beyond standard bounding box annotations (in PASCAL VOC XML format), the dataset provides enriched metadata attributes critical for XAI applications\u2014such as sign color, shape, lighting type, occlusion, environment context (urban\/rural), and camera viewpoint. This enables fine-grained model interpretability using techniques like saliency maps, Score-CAM, LIME, and SHAP. Additionally, the dataset includes a dedicated directory structure for original and preprocessed images, annotations tailored for XAI tools, Score-CAM visualizations, and a bilingual legend of sign classes (Arabic\/English).The MTSR dataset is intended for non-commercial research and academic use, and must be cited in any resulting publication. It provides a valuable resource for developing robust, transparent, and region-aware traffic sign recognition models."
DOI: 10.15468/dl.zjtres
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Physella heterostropha",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021383-250717081556266/datasets/export for details.
DOI: 10.15468/dl.62arju
title: Occurrence Download

description: A dataset containing 381 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is IND",
 "Geometry POLYGON((72.7067 20.22165,72.78479 18.69493,73.30944 16.07164,74.33253 14.18287,74.54239 13.23848,75.14574 12.00554,75.9771 10.17939,76.08203 9.36617,77.41991 7.94959,77.91833 8.00205,78.39053 9.0776,79.12505 9.13007,79.07258 9.57603,79.25621 10.28432,79.8858 10.10069,79.91204 11.7009,80.27929 12.27364,80.22683 13.63993,79.98619 14.93934,80.9006 15.95,81.69469 16.2147,82.89785 17.53818,84.2454 18.38039,85.90576 19.55949,86.71742 20.55781,85.58645 20.89469,83.92609 20.17279,81.35745 18.24847,80.25054 18.24847,78.99925 17.59876,78.1811 16.08277,75.95524 16.78061,75.35366 17.93564,75.04084 19.23506,74.31894 20.60667,72.82702 20.24572,72.7067 20.22165))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euphlyctis cyanophlyctis"
 ]
}

 The dataset includes 381 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021382-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7936gk
title: Occurrence Download

description: A dataset containing 8980 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melochia tomentosa"
 ]
}

 The dataset includes 8980 records from 271 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021380-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbx8y8
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ovachlamys fulgens",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 62 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021385-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xb2r6e
title: Occurrence Download

description: A dataset containing 9409 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Convolvulus lanuginosus"
 ]
}

 The dataset includes 9409 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021384-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nvtyd3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Marshall Islands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021387-250717081556266/datasets/export for details.
DOI: 10.15468/dl.hytxef
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Myanmar",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021388-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.867f2b
title: Occurrence Download

description: A dataset containing 23358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Araujia sericifera, Araujia undulata, Araujia calycina, Physianthus albens, Araujia hortorum, Araujia sericofera, Apocynum volubine, Apocynum volubile, Araujia sericifera calycina, Araujia albens, Araujia sericifera hortorum, Araujia sericifera hortorum, Araujia sericifera hortorum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 23358 records from 165 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021386-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hkp2p2
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is IND",
 "Geometry POLYGON((86.73679 20.33657,86.76671 21.00332,85.98427 20.90552,84.22378 20.4654,83.7103 19.70741,82.21877 19.5607,80.72725 19.12058,80.11597 18.04472,78.67334 17.06667,77.01066 16.45539,76.39937 18.04472,75.53811 19.79864,73.70426 21.58358,72.70176 21.36352,72.87292 18.52717,73.3864 16.05759,74.29109 14.54162,74.75567 12.41436,75.97823 10.89838,76.14939 9.4313,77.37195 7.98868,77.73872 8.18429,78.2522 8.84447,78.83903 9.21124,79.10799 9.96923,79.86598 10.18929,79.74373 11.43631,80.35501 12.65887,80.18385 14.61497,80.33056 15.61747,81.47977 16.22875,82.94684 17.35351,83.92489 18.38047,85.0741 19.35852,86.73679 20.33657))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Minervarya agricola"
 ]
}

 The dataset includes 90 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021389-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jndjw8
title: Occurrence Download

description: A dataset containing 611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemone stolonifera"
 ]
}

 The dataset includes 611 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021390-250717081556266/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.29608910
title: Fig. 1~5 data

description: <b>Contrasting greenhouse gas flux responses to ecological restoration: comparative insights from two shallow lakes</b>
DOI: 10.6084/m9.figshare.29608910.v1
title: Fig. 1~5 data

description: <b>Contrasting greenhouse gas flux responses to ecological restoration: comparative insights from two shallow lakes</b>
DOI: 10.15468/dl.xr3j8d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupornis magnirostris)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021393-250717081556266/datasets/export for details.
DOI: 10.15468/dl.mettct
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tridax procumbens",
 "Country is Nauru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021392-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q77r8y
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupornis magnirostris)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021391-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bd2tra
title: Occurrence Download

description: A dataset containing 820605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Rupornis magnirostris)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 820605 records from 598 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021376-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0159558.10fu
title: SH0159558.10FU

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/sh0159559.10fu
title: SH0159559.10FU

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/sh0159560.10fu
title: SH0159560.10FU

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/sh0159561.10fu
title: SH0159561.10FU

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/sh0159562.10fu
title: SH0159562.10FU

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/sh0159563.10fu
title: SH0159563.10FU

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/sh0159564.10fu
title: SH0159564.10FU

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/sh0159565.10fu
title: SH0159565.10FU

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.