cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25919/kyeh-hv35
title: Parkes observations for project P1338 semester 2024OCTS_44

description: Fast radio bursts (FRBs) are millisecond-duration radio bursts of extragalactic origin. Since the discovery of the first FRB in the archival Parkes/Murriyang multibeam data, a broad dichotomy in population has emerged. Some FRBs have been seen to be repeating, while others are not, despite a significant amount of follow-up using different radio telescopes. The repeating FRB 20240114A was recently discovered by CHIME/FRB, which has been seen to have an exceptionally high burst activity. Such extreme burst activity has not been seen in any other source. The repeating FRBs, such as FRB 20240114A, provide an unparalleled window into their circumburst environment due to their repeating nature, which can be used to constrain possible progenitor models and test underlying emission mechanisms. The previous Parkes/Murriyang source follow-up has also revealed intriguing spectro-polarimetric properties, such as frequency-dependent evolution of burst central frequency or chromaticity, a possible activity window, significantly large circular polarisation (CP), and frequency-dependent CP. These properties hold the key towards understanding the circumburst environment of the FRBs, and test possible progenitor models. A large bandwidth instrument with reliable polarimetry has been critical in uncovering these properties. The ultra-wideband low (UWL) receiver on Parkes/Murriyang is ideally suited to explore the source's wideband spectro-temporal and polarimetric behaviour. We propose a campaign to regularly follow up FRB 20240114A to ascertain its long-term evolution of spectro-temporal properties.
DOI: 10.25919/eqq9-4138
title: Parkes observations for project P1339 semester 2024OCTS_05

description: After applying an unsupervised machine learning pipeline to dataset, we found a series of "unknown-unknown" source in the sky. In the position right ascension 20:47:34.4 and declination -16:42:03, we found a broadband signal that last a few seconds. However, through the 60 second observation it repeats. The observations corresponded to testing the multibeam system by pointing each of the beams in turn at a pulsar. Our signal was detected in eight different beams in sequence (not the pulsar beam), with the same position at right ascension 20:47:34.4 and declination -16:42:03. Within a 0.23 deg radius to the anomalous event, GAIA has identified a total of four sources located within 100 pc. One of them is Gaia DR3 6886074198993703168, a white dwarf candidate. We speculate that the observed anomalous event could potentially be a stellar flare originating from one of the stars within the covered region. If this anomalous event comes from a white dwarf, then it could be the second confirmed radio active pulsar emitting white dwarf after AR Sco.
DOI: 10.5281/zenodo.14846282
title: Macroevolutionary changes in gene expression response to an immune stimulus across the diversity of fishes (data repository)

description: Data in support of the manuscript entitled "Macroevolutionary changes in gene expression response to an immune stimulus across the diversity of fishes"
DOI: 10.15468/dl.44n7dz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passiflora trisulca Mast.",
 "Year is 1989"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023059-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14839632
title: unimpeded: wlcdm des_y1.joint+planck_2018_CamSpec_nolens

description: cosmological model:wlcdm, dataset:des_y1.joint+planck_2018_CamSpec_nolens
DOI: 10.5281/zenodo.14839633
title: unimpeded: wlcdm des_y1.joint+planck_2018_CamSpec_nolens

description: cosmological model:wlcdm, dataset:des_y1.joint+planck_2018_CamSpec_nolens
DOI: 10.15468/dl.knng9r
title: Occurrence Download

description: A dataset listing the 728437 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 728437 records were derived from 14913 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023057-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9zcf7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton fluviatilis Esser"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029650-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xh4xfd
title: Occurrence Download

description: A dataset containing 3396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buteogallus anthracinus (Deppe, 1830)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3396 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004633-150811131857512/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uk9kzb
title: Occurrence Download

description: A dataset containing 7126 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thalurania colombica (Bourcier, 1843)"
 ]
}

 The dataset includes 7126 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004633-150922153815467/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h277hm
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Meineckia capillipes (S.F.Blake) G.L.Webster"
 ]
}

 The dataset includes 11 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029627-231002084531237/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.25738533.v1
title: Supplementary materials: Cost–effectiveness analysis of pembrolizumab for patients with advanced esophageal cancer at PD-L1 combined positive score ≥10

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>Cost–effectiveness analysis of </b><b>pembrolizumab for patients with advanced </b><b>esophageal cancer at PD-L1 combined </b><b>positive score ≥10</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Supplementary materials</b><b>Aim:</b> Due to the high price of pembrolizumab, it is still unknown whether the use of pembrolizumab for advanced esophageal cancer would be a cost-effective option for patients whose PD-L1 combined positive score is ≥10. <b>Methods:</b> A Markov simulation model was performed based on clinical trial KEYNOTE-181. Incremental cost–effectiveness ratios were calculated to compare the two treatments. <b>Results:</b> The total costs were US$193,575.60 and $8789.24 for pembrolizumab and chemotherapy treatment, respectively. The pembrolizumab group produced 0.93 quality-adjusted life years (QALYs), while the chemotherapy group produced 0.58 QALYs. Thus, patients in the pembrolizumab group spent an additional US$184,786.36 and produced 0.35 QALYs more than the chemotherapy group, which resulted in an incremental cost–effectiveness ratio of US$527,961.03 per QALY. <b>Conclusion:</b> For patients with advanced esophageal cancer whose PD-L1 combined positive score is ≥10, pembrolizumab is not a cost-effective second-line therapy versus chemotherapy from the US payer perspective.
DOI: 10.6084/m9.figshare.25738533
title: Supplementary materials: Cost–effectiveness analysis of pembrolizumab for patients with advanced esophageal cancer at PD-L1 combined positive score ≥10

description: <b>These are peer-reviewed supplementary materials for the article '</b><b>Cost–effectiveness analysis of </b><b>pembrolizumab for patients with advanced </b><b>esophageal cancer at PD-L1 combined </b><b>positive score ≥10</b><b>' published in the</b><b> </b><b><i>Journal of Comparative Effectiveness Research</i></b><b>.</b><b>Supplementary materials</b><b>Aim:</b> Due to the high price of pembrolizumab, it is still unknown whether the use of pembrolizumab for advanced esophageal cancer would be a cost-effective option for patients whose PD-L1 combined positive score is ≥10. <b>Methods:</b> A Markov simulation model was performed based on clinical trial KEYNOTE-181. Incremental cost–effectiveness ratios were calculated to compare the two treatments. <b>Results:</b> The total costs were US$193,575.60 and $8789.24 for pembrolizumab and chemotherapy treatment, respectively. The pembrolizumab group produced 0.93 quality-adjusted life years (QALYs), while the chemotherapy group produced 0.58 QALYs. Thus, patients in the pembrolizumab group spent an additional US$184,786.36 and produced 0.35 QALYs more than the chemotherapy group, which resulted in an incremental cost–effectiveness ratio of US$527,961.03 per QALY. <b>Conclusion:</b> For patients with advanced esophageal cancer whose PD-L1 combined positive score is ≥10, pembrolizumab is not a cost-effective second-line therapy versus chemotherapy from the US payer perspective.
DOI: 10.20383/103.0666
title: Data from Organic matter cycling in a model restored wetland receiving complex effluent

description: Data associated with this publication includes water depth recordings at wetland in- and outflows, new field and lab based measurements (2020-21), and BDOC incubation results.
DOI: 10.15468/dl.gc98hu
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia keithii R.A.Dyer"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029636-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpbmi2
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dasyprocta leporina (Linnaeus, 1758)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 189 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004633-160623103540712/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5qfbx
title: Occurrence Download

description: A dataset containing 32345 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ovis aries Linnaeus, 1758"
 ]
}

 The dataset includes 32345 records from 329 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043847-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dsrp3d
title: Occurrence Download

description: A dataset containing 219 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chloroxylon swietenia (Roxb.) DC."
 ]
}

 The dataset includes 219 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055970-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ljpy6f
title: Occurrence Download

description: A dataset containing 719 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is IBF Monitoring of Plant Galls"
 ]
}

 The dataset includes 719 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004633-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvlidy
title: Occurrence Download

description: A dataset containing 1224429 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Quercus L."
 ]
}

 The dataset includes 1224429 records from 1228 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004633-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0192024.10fu
title: SH0192024.10FU

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/sh0192025.10fu
title: SH0192025.10FU

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/sh0192026.10fu
title: SH0192026.10FU

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/sh0192027.10fu
title: SH0192027.10FU

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/sh0192028.10fu
title: SH0192028.10FU

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/sh0192029.10fu
title: SH0192029.10FU

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/sh0192030.10fu
title: SH0192030.10FU

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/sh0192031.10fu
title: SH0192031.10FU

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: 10.7910/dvn/gklu6g
title: Replication Data for: Machine Learning and the Implementable Efficient Frontier

description: The repo contains the replication package for the paper "Machine Learning and the Implementable Efficient Frontier" by Jensen, Kelly, Malamud, and Pedersen. For the most recent version of the code, visit https://github.com/theisij/ml-and-the-implementable-efficient-frontier.
DOI: 10.15156/bio/sh0192032.10fu
title: SH0192032.10FU

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.