cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1376665.10fu
title: SH1376665.10FU

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/sh1376671.10fu
title: SH1376671.10FU

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/sh1376672.10fu
title: SH1376672.10FU

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.yqeyak
title: Occurrence Download

description: A dataset containing 1474104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Orchidaceae",
 "Modified is greater than or equal to 2008-01-01",
 "BasisOfRecord is Specimen",
 {
 "not" : {
 "DatasetName" : [
 "is iNaturalist Research-grade Observations"
 ]
 }
 }
 ]
}

 The dataset includes 1474104 records from 795 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012574-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6mtwq
title: Occurrence Download

description: A dataset containing 186116 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia",
 "Year 1970-2025"
 ]
}

 The dataset includes 186116 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012535-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gede4
title: Occurrence Download

description: A dataset containing 91475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastropoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 30,150 30,150 60,120 60,120 30))"
 ]
}

 The dataset includes 91475 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012595-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15906681
title: Shaping Magnetic Order by Local Frustration for Itinerant Fermions on a Graph

description: Mathematica notebook with data for generating all figures in the manuscript titled "Shaping Magnetic Order by Local Frustration for Itinerant Fermions on a Graph".
DOI: 10.5281/zenodo.17337873
title: Shaping Magnetic Order by Local Frustration for Itinerant Fermions on a Graph

description: Mathematica notebook with data for generating all figures in the manuscript titled "Shaping Magnetic Order by Local Frustration for Itinerant Fermions on a Graph".
DOI: 10.15468/dl.cdq2s6
title: Occurrence Download

description: A dataset containing 1586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cirsium esculentum",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1586 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012620-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eabckr
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Coendou sanctamartae Allen, 1904"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093855-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sh9azh
title: Occurrence Download

description: A dataset containing 586 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-84.09118 6.73336,-76.26929 6.73336,-76.26929 9.86074,-84.09118 9.86074,-84.09118 6.73336))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cuniculus paca (Linnaeus, 1766)"
 ]
}

 The dataset includes 586 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093854-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2sssta
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Petrichus Simon, 1886"
 ]
}

 The dataset includes 199 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093856-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fq4tf9
title: Occurrence Download

description: A dataset containing 797489 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aquila chrysaetos (Linnaeus, 1758)"
 ]
}

 The dataset includes 797489 records from 787 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093743-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a2vrfm
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-83.51095 6.67214,-76.02378 6.67214,-76.02378 9.66569,-83.51095 9.66569,-83.51095 6.67214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tayassu pecari (Link, 1795)"
 ]
}

 The dataset includes 60 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093857-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suz9xx
title: Occurrence Download

description: A dataset containing 692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Bertholletia Bonpl."
 ]
}

 The dataset includes 692 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093859-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrytnq
title: Occurrence Download

description: A dataset containing 2041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Fossil",
 "TaxonKey is Sequoia Endl."
 ]
}

 The dataset includes 2041 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093858-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axh63j
title: Occurrence Download

description: A dataset containing 24085 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "Country is United States of America",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lycorma delicatula (White, 1845)"
 ]
}

 The dataset includes 24085 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093860-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6j67g
title: Occurrence Download

description: A dataset containing 345041 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaeriidae"
 ]
}

 The dataset includes 345041 records from 706 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0093765-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13225482
title: Predicting hosts of Echinococcus multilocularis
DOI: 10.5281/zenodo.13225483
title: predicting hosts of Echinococcus multilocularis
DOI: 10.5281/zenodo.13825488
title: Predicting hosts of Echinococcus multilocularis
DOI: 10.5281/zenodo.13923125
title: Predicting hosts of Echinococcus multilocularis
DOI: 10.5281/zenodo.15310208
title: Predicting hosts of Echinococcus multilocularis
DOI: 10.25919/xqwn-8v29
title: Parkes observations for project P1183 semester 2025APRS_03

description: After nearly two years of monitoring, comprising 126.7 hours over 57 observations with the Parkes telescope and 49.4 hours across 101 observations with the FAST telescopes, we have determined that FRB 20220529 is an extremely active repeater. It exhibits one of the longest activity durations and a potential period. Due to frequent observations scheduled with both Parkes and FAST, we recently observed an abrupt rotation measure (RM) flare in this source. This is the first detection of such an ``RM flare'' in a fast radio burst (FRB), suggesting that the source is in an environment with occasionally erupting coronal mass ejection. This presents a unique opportunity to study the eruption environment of FRBs and investigate the relation between burst activity and other burst parameters. If confirmed, the periodicity and the ``RM flare'' of FRB 20220529 would corroborate each other and become a ``smoking gun'' of the binary origin of FRB. In our previous analysis, both Parkes and FAST observations have proven essential. While FAST's higher sensitivity has enabled the capture of many bursts, Parkes' wideband receiver has provided a good burst detection rate even during low-rate phases. Notably, during the RM flare, two high signal-to-noise ratio bursts from Parkes have been crucial in understanding the RM variations. To further investigate FRB 20220529, we have scheduled regular FAST observations every fortnight, monitoring the source for 20 minutes each time. Therefore, we also propose to monitor FRB 20220529 using the Parkes UWL receiver, ensuring high-time resolution and employing full-polarization observations.
DOI: 10.15161/oar.it/dabyt-97a53
title: Synthetic Datasets for ICSC Flagship 2.6.1. \"Extended Computer Vision at high rate\" paper #1 \"Datacube segmentation via Deep Spectral Clustering\

description: Synthetic Datasets for ICSC Flagship 2.6.1. "Fast Extended Computer Vision"  paper #1 "Datacube segmentation via Deep Spectral Clustering"\n\n
It is a preliminary paper for the ICSC Spoke 2 WP6 flagship 2.6.1 "Fast Extended Computer Vision".\n\n
Code repository at: https://github.com/ICSC-Spoke2-repo/FastExtendedVision-DeepCluster\n\n
Abstract:\n\n
\n
Extended Vision techniques are a ubiquitous in physics. However, the  data cubes steaming from such analysis often pose a challenge in their interpretation, due to the intrinsic difficulty in discerning the relevant information from the spectra composing the data cube.\nFurthermore, the huge dimensionality of data cube spectra poses a complex task in its statistical interpretation; nevertheless, this complexity contains a massive amount of statistical information that can be exploited in an unsupervised manner to outiline some essential properties of the case study at hand, e.g.~it is possible to obtain an image segmentation via (deep) clustering of data-cube's spectra, performed in a suitably defined low-dimensional embedding space.\nTo tackle this topic, we explore the possibility of applying unsupervised clustering methods in encoded space, i.e.~perform deep clustering on the spectral properties of datacube pixels. A statistical dimensional reduction is performed by an ad hoc trained AutoEncoder, in charge of mapping spectra into lower dimensional metric spaces, while the clustering process is performed by an iterative K-Means clustering algorithm.\nWe apply this technique on two different use cases, of different physical origin: a set of MA-XRF data on pictorial artworks, and a synthetic dataset of simualted astrophysical observations.\n
DOI: 10.15161/oar.it/g37mb-a5639
title: Synthetic Datasets for ICSC Flagship 2.6.1. \"Extended Computer Vision at high rate\" paper #1 \"Datacube segmentation via Deep Spectral Clustering\

description: Synthetic Datasets for ICSC Flagship 2.6.1. "Fast Extended Computer Vision"  paper #1 "Datacube segmentation via Deep Spectral Clustering"\n\n
It is a preliminary paper for the ICSC Spoke 2 WP6 flagship 2.6.1 "Fast Extended Computer Vision".\n\n
Code repository at: https://github.com/ICSC-Spoke2-repo/FastExtendedVision-DeepCluster\n\n
Abstract:\n\n
\n
Extended Vision techniques are a ubiquitous in physics. However, the  data cubes steaming from such analysis often pose a challenge in their interpretation, due to the intrinsic difficulty in discerning the relevant information from the spectra composing the data cube.\nFurthermore, the huge dimensionality of data cube spectra poses a complex task in its statistical interpretation; nevertheless, this complexity contains a massive amount of statistical information that can be exploited in an unsupervised manner to outiline some essential properties of the case study at hand, e.g.~it is possible to obtain an image segmentation via (deep) clustering of data-cube's spectra, performed in a suitably defined low-dimensional embedding space.\nTo tackle this topic, we explore the possibility of applying unsupervised clustering methods in encoded space, i.e.~perform deep clustering on the spectral properties of datacube pixels. A statistical dimensional reduction is performed by an ad hoc trained AutoEncoder, in charge of mapping spectra into lower dimensional metric spaces, while the clustering process is performed by an iterative K-Means clustering algorithm.\nWe apply this technique on two different use cases, of different physical origin: a set of MA-XRF data on pictorial artworks, and a synthetic dataset of simualted astrophysical observations.\n
DOI: 10.5519/qd.cdc0jgwi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.435cmm
title: Occurrence Download

description: A dataset containing 31184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 31184 records from 423 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007793-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/ubje1o/akj19b
title: PGD_CIRM-CFBP_V1_30Juin2022.pdf

description: :unav
DOI: 10.15468/dl.99s998
title: Occurrence Download

description: A dataset containing 2613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2613 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007794-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ttdg4u
title: Occurrence Download

description: A dataset containing 60229033 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((10.48083 -36.62397,51.43088 -36.62397,51.43088 4.5049,10.48083 4.5049,10.48083 -36.62397))"
 ]
}

 The dataset includes 60229033 records from 3052 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007769-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rt6d58
title: Occurrence Download

description: A dataset containing 10611 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bactris maraja Mart."
 ]
}

 The dataset includes 10611 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277502-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbnn5n
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Réseau Loup - Lynx ONCFS - Réseau Loup-Lynx : Répartition communale Occasionnelle du Loup en 2012"
 ]
}

 The dataset includes 181 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003936-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn6q78
title: Occurrence Download

description: A dataset containing 24955 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Fish Database of Taiwan"
 ]
}

 The dataset includes 24955 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0278893-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.er9q8x
title: Occurrence Download

description: A dataset containing 1577 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ambrosia tenuifolia Spreng."
 ]
}

 The dataset includes 1577 records from 160 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277493-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydphyp
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "TaxonKey is Imperata cylindrica (L.) P.Beauv."
 ]
}

 The dataset includes 388 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284189-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gy5u39
title: Occurrence Download

description: A dataset containing 6357 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactuca sibirica (L.) Benth. ex Maxim."
 ]
}

 The dataset includes 6357 records from 134 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002715-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2s28f6
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bomarea densiflora Herb."
 ]
}

 The dataset includes 140 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0277504-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtxfh2
title: Occurrence Download

description: A dataset containing 21041 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "CoordinateUncertaintyInMeters 0.0-1000.0",
 "Geometry POLYGON((-127.10642 17.9,-48.93761 17.9,-48.93761 51.07248,-127.10642 51.07248,-127.10642 17.9))",
 "TaxonKey is Rosa multiflora Thunb."
 ]
}

 The dataset includes 21041 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0284197-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.znfvxq
title: Occurrence Download

description: A dataset containing 1716 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melica altissima L."
 ]
}

 The dataset includes 1716 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037000-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.