cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive133073.20240916.9.1
title: Rugosibacter aromaticivorans Corteselli et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133074.20241212.9.2
title: Polynucleobacter wuianus Hahn et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133078.20240916.9.1
title: Novosphingobium guangzhouense Sha et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133079.20240916.9.1
title: Nocardioides cavernae Han et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133081.20240916.9.1
title: Psychromicrobium silvestre Schumann et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133083.20240916.9.1
title: Pseudactinotalea terrae Cho et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive133084.20241212.9.2
title: Macrococcus canis Gobeli Brawand et al. 2017

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15468/dl.u0rurt
title: Occurrence Download

description: A dataset containing 4041 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melinis minutiflora P.Beauv."
 ]
}

 The dataset includes 4041 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041537-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atdl4t
title: Occurrence Download

description: A dataset containing 1901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Anolis chlorocyanus Duméril & Bibron, 1837",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1901 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049936-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wwudvs
title: Occurrence Download

description: A dataset containing 2713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2713 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019556-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tg7jmr
title: Occurrence Download

description: A dataset containing 3672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ctenosaura pectinata (Wiegmann, 1834)"
 ]
}

 The dataset includes 3672 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012606-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/2bdddf05-f883-48a5-89bf-268f5595342f.v1
title: Data and code underlying the publication: Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems.

description: Research ObjectivesThe primary research objective of the study is to explore the application of physics-informed neural networks (PINNs) in predicting the displacement and rotations of a double beam based on Euler-Bernoulli and Timoshenko theories under various load conditions. The research aims to demonstrate the accuracy and efficiency of PINNs in handling forward and inverse problems involving partial differential equations (PDEs), even with a limited number of training points and the presence of noise in the data. This objective is to introduce physics informed machine learning techniques in structural engineering contexts specifically beam dynamics.<br>Type of ResearchThe research focuses on the practical implementation of theoretical concepts in machine learning and structural engineering. It leverages computational methods to solve real-world engineering problems, demonstrating the utility of PINNs in predicting structural behaviors accurately and efficiently. The study combines elements of machine learning and structural engineering by leveraging the physical knowledge of beam dynamics.<br>Method of Data CollectionData collection in this study involves the generation of synthetic data through forward PINNs simulations. This data includes displacement and rotation measurements of a double Timoshenko beam subjected to different loading conditions. The study also introduces Gaussian noise into the data to test the robustness of the PINN model. Additionally, the researchers compare their results with those obtained from traditional numerical methods and other machine learning approaches to validate their findings.<br>Type of DataFor the forward problem, a well-posed physical equation is needed, while for the inverse problem, data from the forward problem is utilized. For validating the forward and inverse problems, we have an analytic closed-form solution which is explicitly mentioned in the Python notebooks. All implementations of the proposed methodology are on Jupyter Python notebooks. To run the notebooks, only need to execute the cells with Shift+Enter.
DOI: 10.15468/dl.84hgdj
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sagittaria brevirostra Mack. & Bush"
 ]
}

 The dataset includes 586 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028822-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.oqwb2c
title: Occurrence Download

description: A dataset containing 439 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atlas de la Biodiversité Communal sur la commune de Saint-Geyrac-Inventaire Oiseaux"
 ]
}

 The dataset includes 439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026272-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uuasrl
title: Occurrence Download

description: A dataset containing 226 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Country is Canada",
 "HasCoordinate is true",
 "TaxonKey is Sistrurus catenatus (Rafinesque, 1818)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 226 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049938-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26ccyb
title: Occurrence Download

description: A dataset containing 1246 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Unknown evidence"
 ]
 },
 "Country is Colombia",
 "HasCoordinate is true",
 "TaxonKey is Pionus tumultuosus (Tschudi, 1844)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1246 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000764-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dp37je
title: Occurrence Download

description: A dataset containing 10367 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pernettya Gaudich."
 ]
}

 The dataset includes 10367 records from 210 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000762-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx7pju
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melampodium sinuatum Brandegee"
 ]
}

 The dataset includes 51 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012607-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6uhgya
title: Occurrence Download

description: A dataset containing 633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Liste d'espèces animales recensées au cours des activités de l'Organisation pour le Développement Durable et la Biodiversité (ODDB ONG) au Bénin",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 633 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021777-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d3nfqj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chibchanomys trichotis (Thomas, 1897)"
 ]
}

 The dataset includes 5 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021774-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.iubirn
title: Occurrence Download

description: A dataset containing 282 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Galaxias Cuvier, 1816"
 ]
}

 The dataset includes 282 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019557-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.77hxkd
title: Occurrence Download

description: A dataset containing 9657 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SILENE-FAUNE-PACA - Ecosphère_2017_12_18"
 ]
}

 The dataset includes 9657 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026273-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.896qcv
title: Occurrence Download

description: A dataset containing 214544 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apis mellifera Linnaeus, 1758"
 ]
}

 The dataset includes 214544 records from 730 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029307-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3rw5sq
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spalax giganteus Nehring, 1898",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059619-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mz325s
title: Occurrence Download

description: A dataset containing 79156 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Material sample",
 "BasisOfRecord is Literature Occurrence",
 "BasisOfRecord is Specimen"
 ]
 },
 "Geometry POLYGON((-84.6524 10.40138,-84.52606 10.00672,-84.2569 9.80109,-83.96576 9.8065,-83.63617 9.9418,-83.4549 10.17978,-83.76251 10.52022,-84.42169 10.59042,-84.6524 10.40138))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves",
 "Year 1990-2000"
 ]
}

 The dataset includes 79156 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030833-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uejv9c
title: Occurrence Download

description: A dataset containing 3348 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Mazama americana (Erxleben, 1777)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3348 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019558-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zatrdb
title: Occurrence Download

description: A dataset containing 121 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CollectionCode is Herp",
 "InstitutionCode is MCZ",
 "TaxonKey is Ptychadena oxyrhynchus (Smith, 1849)"
 ]
}

 The dataset includes 121 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017791-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q7qqf7
title: Occurrence Download

description: A dataset containing 689 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Lithobates capito (LeConte, 1855))"
 ]
}

 The dataset includes 689 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017790-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0210561.10fu
title: SH0210561.10FU

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/sh0210562.10fu
title: SH0210562.10FU

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/sh0210563.10fu
title: SH0210563.10FU

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/sh0210564.10fu
title: SH0210564.10FU

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/sh0210565.10fu
title: SH0210565.10FU

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/sh0210566.10fu
title: SH0210566.10FU

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/sh0210567.10fu
title: SH0210567.10FU

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.