cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0179490.10fu
title: SH0179490.10FU

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/sh0179491.10fu
title: SH0179491.10FU

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/sh0179492.10fu
title: SH0179492.10FU

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/sh0179493.10fu
title: SH0179493.10FU

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/sh0179494.10fu
title: SH0179494.10FU

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/sh0179495.10fu
title: SH0179495.10FU

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.9rkrwu
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Neofelis nebulosa (Griffith, 1821)"
 ]
}

 The dataset includes 221 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035993-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q357pv
title: Occurrence Download

description: A dataset containing 62 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-86.20365 -42.98457,-58.79635 -42.98457,-58.79635 -32.01543,-86.20365 -32.01543,-86.20365 -42.98457))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eupsophus altor Nuñez, Rabanal & Formas, 2012"
 ]
}

 The dataset includes 62 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057829-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acjnne
title: Occurrence Download

description: A dataset containing 573 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anairetes alpinus (Carriker, 1933)"
 ]
}

 The dataset includes 573 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048804-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f2mq8s
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thaumatotibia leucotreta (Meyrick, 1913)"
 ]
}

 The dataset's 4 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046232-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ubjbu3
title: Occurrence Download

description: A dataset containing 20073 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-180 89,180 89,180 90,-180 90,-180 89))",
 "Geometry POLYGON((-180 79,180 79,180 81,-180 81,-180 79))",
 "Geometry POLYGON((-180 69,180 69,180 71,-180 71,-180 69))"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Annelida",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 20073 records from 87 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004686-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gowfj
title: Occurrence Download

description: A dataset containing 33636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Year 2010-2018",
 "HasCoordinate is true",
 "TaxonKey is Lanius schach Linnaeus, 1758",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33636 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-180412121330197/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.25962982
title: <b>Single-membrane pH-decoupling Aqueous Batteries Using Proton-coupled Electrochemistry for pH Recovery</b>

description: pH-decoupling in aqueous redox flow batteries (ARFBs) represent a promising strategy for enhancing cell voltage and expanding the repertoire of redox pair combinations. Effective management of acid-base crossover and the implementation of cost-effective pH recovery methods are pivotal for long-term stability of pH-decoupling ARFBs. We introduce a pH-decoupling design integrated into a conventional single-membrane ARFB architecture. This approach reduces the area specific resistance while suppressing acid-base crossover to an acceptable level. We explore various electrolyte pairs, ranging from anions to cations, acids to bases, always dissolved to electrodepositing, showing the flexibility afforded by this design in selecting electrolyte compositions. Furthermore, we demonstrate the utility of proton-coupled electrochemical reactions as proton pumps, facilitating <i>in-situ</i> or <i>ex-situ</i> pH recovery within pH-decoupling batteries. Our findings potentially offer benefits including improved energy efficiency, increased areal power output, and decreased capital costs, thereby advancing the prospects for scalable and sustainable energy storage solutions.
DOI: 10.6084/m9.figshare.25962982.v1
title: <b>Single-membrane pH-decoupling Aqueous Batteries Using Proton-coupled Electrochemistry for pH Recovery</b>

description: pH-decoupling in aqueous redox flow batteries (ARFBs) represent a promising strategy for enhancing cell voltage and expanding the repertoire of redox pair combinations. Effective management of acid-base crossover and the implementation of cost-effective pH recovery methods are pivotal for long-term stability of pH-decoupling ARFBs. We introduce a pH-decoupling design integrated into a conventional single-membrane ARFB architecture. This approach reduces the area specific resistance while suppressing acid-base crossover to an acceptable level. We explore various electrolyte pairs, ranging from anions to cations, acids to bases, always dissolved to electrodepositing, showing the flexibility afforded by this design in selecting electrolyte compositions. Furthermore, we demonstrate the utility of proton-coupled electrochemical reactions as proton pumps, facilitating <i>in-situ</i> or <i>ex-situ</i> pH recovery within pH-decoupling batteries. Our findings potentially offer benefits including improved energy efficiency, increased areal power output, and decreased capital costs, thereby advancing the prospects for scalable and sustainable energy storage solutions.
DOI: 10.15468/dl.rbcyk9
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aporosa nigropunctata Pax & K.Hoffm."
 ]
}

 The dataset includes 24 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011575-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9w6j8g
title: Occurrence Download

description: A dataset containing 10125 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hesperis matronalis L.",
 "Year 1000-2021"
 ]
}

 The dataset includes 10125 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057184-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rm5eiv
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oryzomys devius Bangs, 1902",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 11 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9md5v6
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Endospermum medullosum L.S.Sm."
 ]
}

 The dataset includes 227 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011576-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h4wj7g
title: Occurrence Download

description: A dataset containing 53536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The echinoderm collection (IE) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 53536 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113210-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.putf6g
title: Occurrence Download

description: A dataset containing 7924 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plantae",
 "DecimalLatitude is greater than 36.710726089305",
 "DecimalLatitude is less than 37.2624002369875",
 "DecimalLongitude is greater than -94.697115057769",
 "DecimalLongitude is less than -94.0139179530626"
 ]
}

 The dataset includes 7924 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006697-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qj5c43
title: Occurrence Download

description: A dataset containing 8556 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bee Biology and Systematics Laboratory",
 "Geometry POLYGON((-117.16102 33.53114,-114.65321 33.53114,-114.65321 34.87009,-117.16102 34.87009,-117.16102 33.53114))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8556 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057830-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eqzvwg
title: Occurrence Download

description: A dataset containing 284 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Brenthis ino (von Rottemburg, 1775)"
 ]
}

 The dataset includes 284 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023700-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5dyvm
title: Occurrence Download

description: A dataset containing 749 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oophaga lehmanni (Myers & Daly, 1976)"
 ]
}

 The dataset includes 749 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0110501-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8r4nd
title: Occurrence Download

description: A dataset containing 1434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Ulmus alata Michx."
 ]
}

 The dataset includes 1434 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080138-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83skjz
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Canada",
 "Geometry POLYGON((-143.1958 55.23926,-124.73877 55.23926,-124.73877 70.62012,-143.1958 70.62012,-143.1958 55.23926))",
 "HasCoordinate is true",
 "TaxonKey is Saxifraga oppositifolia L."
 ]
}

 The dataset includes 236 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018110-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyaodo
title: Occurrence Download

description: A dataset containing 11017818 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apodiformes"
 ]
}

 The dataset includes 11017818 records from 1423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014326-191105090559680/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.30946343
title: PROCA.zip from Individual-based foundation of SIR-type epidemic models: mean-field limit and large time behaviour

description: We introduce a kinetic framework for modelling the time evolution of the statistical distributions of the population densities in the three compartments of susceptible, infectious and recovered individuals, under epidemic spreading driven by susceptible-infectious interactions. The model is based on a system of Boltzmann-type equations describing binary interactions between susceptible and infectious individuals, supplemented with linear redistribution operators that account for recovery and reinfection dynamics. The mean values of the kinetic system recover a SIR-type model with reinfection, where the macroscopic parameters are explicitly derived from the underlying microscopic interaction rules. In the grazing collision regime, the Boltzmann system can be approximated by a system of coupled Fokker–Planck equations. This limit allows for a more tractable analysis of the dynamics, including the large-time behaviour of the population densities. In this context, we rigorously prove the convergence to equilibrium of the resulting mean-field system in a suitable Sobolev space by means of the so-called energy distance. The analysis reveals the dissipative structure of the dynamics and the role of the interaction terms in driving the system towards a stable equilibrium configuration. These results provide a multi-scale perspective connecting kinetic theory with classical epidemic models.
DOI: 10.6084/m9.figshare.30946343.v1
title: PROCA.zip from Individual-based foundation of SIR-type epidemic models: mean-field limit and large time behaviour

description: We introduce a kinetic framework for modelling the time evolution of the statistical distributions of the population densities in the three compartments of susceptible, infectious and recovered individuals, under epidemic spreading driven by susceptible-infectious interactions. The model is based on a system of Boltzmann-type equations describing binary interactions between susceptible and infectious individuals, supplemented with linear redistribution operators that account for recovery and reinfection dynamics. The mean values of the kinetic system recover a SIR-type model with reinfection, where the macroscopic parameters are explicitly derived from the underlying microscopic interaction rules. In the grazing collision regime, the Boltzmann system can be approximated by a system of coupled Fokker–Planck equations. This limit allows for a more tractable analysis of the dynamics, including the large-time behaviour of the population densities. In this context, we rigorously prove the convergence to equilibrium of the resulting mean-field system in a suitable Sobolev space by means of the so-called energy distance. The analysis reveals the dissipative structure of the dynamics and the role of the interaction terms in driving the system towards a stable equilibrium configuration. These results provide a multi-scale perspective connecting kinetic theory with classical epidemic models.
DOI: 10.15468/cuchca
title: New ostracod species (Cypridopsis schwartzi n. sp.) from Texas, with discussion on the taxonomic status of Cypridopsis species in the USA

description: This dataset contains the digitized treatments in Plazi based on the original journal article Külköylüoğlu, Okan, Veech, Joseph A., Tuncer, Alaettin (2022): New ostracod species (Cypridopsis schwartzi n. sp.) from Texas, with discussion on the taxonomic status of Cypridopsis species in the USA. Zootaxa 5196 (3): 331-354, DOI: 10.11646/zootaxa.5196.3.2AbstractA total of 39 taxa (19 living species, 20 subfossils) were collected from 59 different shallow aquatic bodies in Texas during April to June 2017. Cypridopsis schwartzi n. sp. is proposed as a new species collected from a cattle pond at Freeman Ranch near San Marcos, Texas. The species has several characteristics separating it from other species, including carapace shape, presence of a curved z3-seta on the second antenna, number of setae on the vibratory plate of the first thoracic leg, shape of hemipenis, numbers of whorls on the Zenker organ, and several other differences. With the new species, there are now 12 species in the genus Cypridopsis recorded for Texas, and Cypridopsis schwartzi n. sp. is the fifth species of the genus in Texas showing sexual reproduction. The new species was compared with other species of the genus in Texas and the taxonomic relationships are discussed.