cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0199347.10fu
title: SH0199347.10FU

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/sh0199348.10fu
title: SH0199348.10FU

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/sh0199349.10fu
title: SH0199349.10FU

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/sh0199350.10fu
title: SH0199350.10FU

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/sh0199351.10fu
title: SH0199351.10FU

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/sh0199352.10fu
title: SH0199352.10FU

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/sh0199353.10fu
title: SH0199353.10FU

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.4buszy
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Polygala chamaebuxus L."
 ]
}

 The dataset includes 360 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0117115-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7m3k7x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Peltaria glastifolia DC."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040467-220831081235567/datasets/export for details.
DOI: 10.15468/dl.yajscz
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-114.44288 14.11955,-82.55712 14.11955,-82.55712 26.88045,-114.44288 26.88045,-114.44288 14.11955))",
 "HasCoordinate is true",
 "TaxonKey is Rhadinaea macdougalli Smith & Langebartel, 1949",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012807-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ka6cz9
title: Occurrence Download

description: A dataset containing 5114101 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sapindales"
 ]
}

 The dataset includes 5114101 records from 3003 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084195-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2shkvj
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius tlaxiacus Parra-Olea, Rovito, García-París, Maisano, Wake & Hanken, 2016"
 ]
}

 The dataset includes 152 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001027-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ezmg9v
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius pulmonaris Taylor, 1940"
 ]
}

 The dataset includes 341 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001028-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88gakr
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius arboreus Hanken & Wake, 1994"
 ]
}

 The dataset includes 81 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001029-250214102907787/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.27941154
title: Fibril_lists

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.6084/m9.figshare.27941154.v1
title: Fibril_lists

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.6084/m9.figshare.27684198
title: Trajectories

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.6084/m9.figshare.27684198.v1
title: Trajectories

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.6084/m9.figshare.27684195
title: Codes

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.6084/m9.figshare.27684195.v1
title: Codes

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.5281/zenodo.14874400
title: STRATEGIK BOSHQARUVDA KOMPANIYANING TASHQI MUHITINI BAHOLASH
DOI: 10.5281/zenodo.14874401
title: STRATEGIK BOSHQARUVDA KOMPANIYANING TASHQI MUHITINI BAHOLASH
DOI: 10.5519/qd.xqn17480
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2 records)
DOI: 10.15468/dl.zr95mv
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius pinicola Parra-Olea, Rovito, García-París, Maisano, Wake & Hanken, 2016"
 ]
}

 The dataset includes 53 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001030-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.23zfpa
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius maxillabrochus Gehlbach, 1959"
 ]
}

 The dataset includes 42 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001031-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2pzwc
title: Occurrence Download

description: A dataset containing 209 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius schmidti Gehlbach, 1959"
 ]
}

 The dataset includes 209 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001032-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gj4jh7
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius smithi Hanken & Wake, 1994"
 ]
}

 The dataset includes 12 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001033-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wrspvb
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius adelos (Papenfuss & Wake, 1987)"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001034-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pta2tu
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius insperatus Hanken & Wake, 1994"
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001035-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnns5b
title: Occurrence Download

description: A dataset containing 2085 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thorius pennatulus Cope, 1869"
 ]
}

 The dataset includes 2085 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001036-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s96dmz
title: Occurrence Download

description: A dataset containing 3463 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea smithi (Taylor, 1939)"
 ]
}

 The dataset includes 3463 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001037-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuyy2k
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea juarezi Regal, 1966"
 ]
}

 The dataset includes 722 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001038-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98y73m
title: Occurrence Download

description: A dataset containing 436 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoeurycea cochranae (Taylor, 1943)"
 ]
}

 The dataset includes 436 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001039-250214102907787/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14874435
title: ПАТОМОРФОЛОГИЧЕСКИЕ ИЗМЕНЕНИЯ ПЛАЦЕНТЫ ПРИ КОРОНАВИРУСНОЙ ИНФЕКЦИИ И ИХ ВЛИЯНИЕ НА ПЛОД
DOI: 10.5281/zenodo.14874436
title: ПАТОМОРФОЛОГИЧЕСКИЕ ИЗМЕНЕНИЯ ПЛАЦЕНТЫ ПРИ КОРОНАВИРУСНОЙ ИНФЕКЦИИ И ИХ ВЛИЯНИЕ НА ПЛОД
DOI: 10.6084/m9.figshare.28423556
title: Data

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.6084/m9.figshare.28423556.v1
title: Data

description: Kinked-β sheets are distinct peptide motifs involved in reversible amyloid fibril formation, which standard methods cannot identify. We present a machine learning-based framework to characterize these motifs, identify LARKS, and provide a repository for structural and kinetic studies.
DOI: 10.15151/esrf-es-1971013679
title: BAG Barcelona

description: BAG Barcelona joins 11 groups that belong to two different research institutions: the Institute of Molecular Biology of Barcelona from the Spanish Research Council (IBMB-CSIC) and the Institute for Research in Biomedicine from Barcelona (IRB Barcelona). With a long tradition of accessing the ESRF, the main subjects of research from the BAG groups include protein/DNA complexes, components of viruses, molecular machines, molecular mechanisms of proteases and other enzymes, de-novo design of protein scaffolds and development of crystallopgrahic methods. In this new period, three new research groups have joined the bag: Ferruz lab, Eckhard lab and Guerin lab. The scientific outcomes of all of the groups strongly depend on the acces to high performance beamlines from which to be able to retrieve high-quality structural data. The ESRF offers precisely this together with the exceptional support from their all their scientific staff .
DOI: 10.15151/esrf-es-1975524824
title: FInnish National Protein Crystallography Consortium

description: The Finnish BAG encompasses 24 groups active in crystallography in Finland. The projects vary widely and include membrane proteins and protein complexes, other proteins involved in disease and antibiotics and drug development and discovery (ADP-ribosylation and several oncogenic proteins including kinases, biocatalysis, endoplasmic regulation and protein secretion) and several pathogen proteins and various enzyme targets and e.g. studies on phytochrome photoreceptors and complexes involved in actin dynamics regulation as well as membrane protein targets. Overall the BAG serves the national needs for highly variable projects, with different biological and biotechnological applications. Several project will benefit from microfocus beam lines and tunable wavelength options, others benefit from quick robust screening by MASSIF.
DOI: 10.15151/esrf-es-1979125800
title: Coordinated user access to HTX lab – MASSIF-1 facilities for fragment screening and new structures. With funding through iNEXT Discovery, In

description: This proposal will provide user access to automated protein-to-structure and fragment screening pipelines based on the combination of EMBL HTX lab services and CrystalDirect technology and automated data collection at ESRF’s MX beamlines, within the framework of the EMBL-ESRF JSBG agreement. The access will encompass three key services: 1) Online-Crystallography for Protein-to-Structure analysis, 2) High throughput ligand and Fragment Screening, and 3) innovative Plate-to-beam data collection techniques, made possible by CrystalDirect’s integration at ESRF’s MASSIF1 beamline. Access will be granted through competitive, peer review, as part of EC-funded iNEXT, ISIDORE, CNASERV and Instruct-ERIC consortia. The proposal includes development of new methods to expand the experimental capabilities to perform cutting-edge research in structural biology through furhter integration of CrystalDirect at MASSIF-1 within the framework of international collaborations.
DOI: 10.15151/esrf-es-2036670478
title: O K edge RIXS-MCD of epsilon-Fe2O3

description: Epsilon iron oxide is a magnetoelectric material of interest. RIXS-MCD maps of the Fe L edge above and below the characteristic transition reveal minimal differences in the Fe electronic structure suggesting that the changes in local Fe environment measured via Mossbauer spectroscopy are localized on the O ions. Here we propose to measure RIXS-MCD maps of the O K-edge to complement the Fe L edge data.