cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.58160/xs1uya218ct4807j
title: Instanton gas approach to the Hubbard model

description: We consider a path integral formulation of the Hubbard model based on a Hubbard-Stratonovich transformation that couples the auxiliary field to the local electronic density. This decoupling is known to have a saddle-point structure that shows a remarkable regularity: The field configuration at each saddle point can be understood in terms of a set of elementary field configurations localized in space and imaginary time which we coin instantons. The interaction between instantons is short ranged. Here, we formulate a classical partition function for the instanton gas that has predictive power. For a given set of physical parameters, we can predict the distribution of instantons and show that the instanton number is sharply defined in the thermodynamic limit, thereby defining a unique dominant saddle point. Decoupling in the charge channel conserves SU(2) spin symmetry for each field configurations. Hence, the instanton approach provides an SU(2) spin-symmetric approximation to the Hubbard model. It fails, however, to capture the magnetic transition inherent to the Hubbard model on the honeycomb lattice despite being able to describe local moment formation. In fact, the instanton itself corresponds to local moment formation and concomitant short-ranged antiferromagnetic correlations. This aspect is also seen in the single particle spectral function that shows clear signs of the upper and lower Hubbard bands. Our instanton approach bears remarkable similarities to local dynamical approaches, such as dynamical mean-field theory, in the sense that it has the unique property of allowing for local moment formation without breaking the SU(2) spin symmetry. In contrast to local approaches, it captures short-ranged magnetic fluctuations. Furthermore, it also offers possibilities for systematic improvements by taking into account fluctuations around the dominant saddle point. Finally, we show that the saddle point structure depends upon the choice of lattice geometry. For the square lattice at half filling, the saddle-point structure reflects the itinerant to localized nature of the magnetism as a function of the coupling strength. The implications of our results for Lefschetz thimble approaches to alleviate the sign problem are also discussed.
description: Please read the ReadMe.txt file in the provided .zip file for technical details about data processing and plotting.
description: Funding was provided partially by Cluster of Excellence ct-qmat (Complexity and Topology in Quantum Matter)
DOI: 10.15468/dl.am4u9u
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "TaxonKey is Amaranthus caudatus L."
 ]
}

 The dataset includes 199 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032258-241107131044228/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.26840005
title: Scenario data for the estimation of the AHLE in small ruminants in Senegal

description: PublicationThis data corresponds to the article "<i>Economic assessment of animal disease burden in Senegalese small ruminants</i>" as published in the journal Preventive Veterinary Medicine in 2024: https://doi.org/10.1016/j.prevetmed.2024.106382Data descriptionContext of the data: this dataset provides the parameters used to estimate the Animal Health Loss Envelope in small ruminants in Senegal. Parameter values and distributions are provided for each species (sheep and goats) and each model scenario (Current, Ideal, Zero Mortality, PPR only, PPR zero-mortality).Language: EnglishData journey: this dataset was compiled from multiple data sources, including published literature and government databases. Raw data were cleaned, compiled and aggregated according to the parameters of interest for our model work.Spatiotemporal data resolution and coverage: the raw data were collected between 1980 and 2023 in SenegalUpdates: updates will not be performedData dictionary: the data dictionary corresponding to this dataset is provided here: https://doi.org/10.6084/m9.figshare.27898569Data re-use: this data may be re-used for any purposes. Citation of the source would be appreciated.
DOI: 10.15468/dl.aqa92v
title: Occurrence Download

description: A dataset containing 29244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamarindus indica L."
 ]
}

 The dataset includes 29244 records from 581 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032259-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.12haoy
title: Occurrence Download

description: A dataset containing 755 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Senegalia gourmaensis (A.Chev.) Kyal. & Boatwr."
 ]
}

 The dataset includes 755 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012756-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2arcu2
title: Occurrence Download

description: A dataset containing 833 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Plant species from the sacred and community forests of Mono departement"
 ]
}

 The dataset includes 833 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059666-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yfne92
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tegula mariana (Dall, 1919)"
 ]
}

 The dataset includes 112 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0134101-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lns3qw
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Actias isabellae (Graells, 1849)"
 ]
}

 The dataset includes 11 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012758-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79g9kf
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Garrulax courtoisi Menegaux, 1923"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059673-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2wgbm
title: Occurrence Download

description: A dataset containing 3762 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhopalostylis sapida H.Wendl. & Drude"
 ]
}

 The dataset includes 3762 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021835-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c4yep2
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Boreioglycaspis melaleucae Moore, 1964)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041630-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsfwpc
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de autoridad taxonómica del género Quercus, Fagaceae en México"
 ]
}

 The dataset includes 569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012784-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5c2eg3
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ammannia aspera Guill. & Perr."
 ]
}

 The dataset includes 94 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005279-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.epbsnh
title: Occurrence Download

description: A dataset containing 3517 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Ecuador",
 "TaxonKey is Monasa nigrifrons (von Spix, 1824)"
 ]
}

 The dataset includes 3517 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0123351-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n1lpad
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de autoridad taxonómica del género Quercus, Fagaceae en México"
 ]
}

 The dataset includes 569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012783-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crjceb
title: Occurrence Download

description: A dataset containing 1244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Country is Germany",
 "DecimalLongitude is greater than or equal to 7.52460782594198",
 "DecimalLongitude is less than 7.52766737912637",
 "DecimalLatitude is greater than or equal to 47.27011",
 "DecimalLatitude is less than or equal to 55.05864"
 ]
}

 The dataset includes 1244 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005298-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tdakd
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tyto alba (Scopoli, 1769)"
 ]
}

 The dataset includes 30 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137669-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zhqa7k
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Catálogo de autoridad taxonómica del género Quercus, Fagaceae en México"
 ]
}

 The dataset includes 569 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012772-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/2329
title: new_chymical_wedding_of_christian_rosenkreutz
DOI: 10.15468/dl.eqm8rw
title: Occurrence Download

description: A dataset containing 10960545 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 10960545 records from 2331 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0343444-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15204847
title: DNA Methylation References for Longitudinal Cell Deconvolution: UniBlood19
DOI: 10.5281/zenodo.15204848
title: DNA Methylation References for Longitudinal Cell Deconvolution: UniBlood19
DOI: 10.15156/bio/sh0208135.10fu
title: SH0208135.10FU

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/sh0208136.10fu
title: SH0208136.10FU

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/sh0208137.10fu
title: SH0208137.10FU

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/sh0208138.10fu
title: SH0208138.10FU

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/sh0208139.10fu
title: SH0208139.10FU

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/sh0208140.10fu
title: SH0208140.10FU

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/sh0208141.10fu
title: SH0208141.10FU

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/sh0208142.10fu
title: SH0208142.10FU

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/sh0208143.10fu
title: SH0208143.10FU

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.