cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.w6za7p
title: Occurrence Download

description: A dataset containing 1628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ponthieva racemosa (Walter) C.Mohr"
 ]
}

 The dataset includes 1628 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083370-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x83atz
title: Occurrence Download

description: A dataset containing 74858 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acrocephalus stentoreus (Hemprich & Ehrenberg, 1833))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 74858 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004082-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fsasrh
title: Occurrence Download

description: A dataset containing 2952 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Geometry POLYGON((19.80938 -33.60931,19.87501 -33.65661,19.95354 -33.6394,19.95354 -33.39805,19.78572 -33.44831,19.80938 -33.60931))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 2952 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011302-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v7qv9g
title: Occurrence Download

description: A dataset containing 3536 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Larus ichthyaetus Pallas, 1773, Larus icthyaetus Pallas, 1773)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3536 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005253-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpbx3t
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agalmyla columneoides Hilliard & B.L.Burtt"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004086-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdjkeg
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Asthenes perijana",
 "BasisOfRecord is one of (Machine Observation, Human Observation)",
 "Year 2011-2021",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Specimen, Material citation, Material sample)"
 ]
 }
 }
 ]
}

 The dataset includes 335 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062668-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3qcmr
title: Occurrence Download

description: A dataset containing 25627 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Fouquieria splendens Engelm."
 ]
}

 The dataset includes 25627 records from 173 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067902-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kwurua
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Philippines",
 "OccurrenceStatus is Present",
 "TaxonKey is Galeocerdo cuvier (Péron & Lesueur, 1822)"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003250-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/8egqnm
title: 2022 ar_observation_nsmk_7

description: 2022 National Science Museum of Korea AR Resource
DOI: 10.15468/dl.w7abpf
title: Occurrence Download

description: A dataset containing 75775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Saucerottia beryllina (Deppe, 1830)",
 "Year 2010-2024"
 ]
}

 The dataset includes 75775 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002893-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/kmedb5
title: 2022 mm_observation_nsmk_26

description: 2022 National Science Museum of Korea MM Resource
DOI: 10.15468/rbbude
title: 2023 sp_observation_nsmk_30

description: 2023 National Science Museum of Korea SP Resource
DOI: 10.15468/qnubkq
title: 2023 in_observation_nsmk_238

description: 2023 National Science Museum of Korea IN Resource
DOI: 10.5281/zenodo.12575818
title: Plasma ion-line data from HAARP with varying integration times

description: This data set contains movies of plasma ion-line signals from HAARP acquired using a UHF diagnostic radar.The movies use differnt integration times for the same raw data set.
DOI: 10.5281/zenodo.12575819
title: Plasma ion-line data from HAARP with varying integration times

description: This data set contains movies of plasma ion-line signals from HAARP acquired using a UHF diagnostic radar.The movies use differnt integration times for the same raw data set.
DOI: 10.15468/dl.38k8kj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is Anoura aequatoris (Lönnberg, 1921)"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002896-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11546022
title: AlphaFold 3 predicted NLR resistosome structures

description: Abstract

In our paper "A disease resistance protein triggers oligomerization of its NLR helper into a hexameric resistosome to mediate innate immunity," we used the NbNRC2 hexamer structure to evaluate the capabilities of the newly introduced AlphaFold 3 in predicting activated CC-NLR oligomers. Our analysis highlights AlphaFold 3 effectiveness in confidently modelling the N-terminal alpha1-helices of NbNRC2 and other CC-NLRs, a structurally elusive region critical for NLR function but challenging to resolve through conventional structural methods. This study not only underscores the utility of AlphaFold 3 in enhancing our understanding of plant immune receptors but also extends its application to complex oligomerization processes in innate immunity. Here, we provide the Supplementary data accompanying the paper which includes metadata and predicted structures for 29 NLR immune receptors, providing valuable resources for further research in plant pathogen resistance.

 

Index:



Metadata:





Metadata, sequence, and model statistics of all modelled NLRs:



Data S1.xlsx






 



Predicted structures:





AlphaFold 2 vs 3 vs 3+lipids comparison for NbNRC2:



AF_benchmark.zip












[AlphaFold 3] NRC2 oliogmoeric type benchmarks (N = 10):



NRC2_tetramers.zip

NRC2_pentamers.zip

NRC2_hexamers.zip

NRC2_heptamers.zip

NRC2_octamers.zip












[AlphaFold 3] Pentamer vs Hexamer comparison for 11 representative NRC proteins:



NRCs.zip



[AlphaFold 3] Pnetamer vs Hexamer comparison for AtZAR1 (PDB:6j5t) and TmSr35 (PDB:7xe0) experimentally validated cryo-EM structure:



Benchmarks.zip



[AlphaFold 3] Pentamer vs Hexamer comparison for a selection of 8 CC, 6 CCG10, and 2 CCR-NLRs:



CC.zip

CCG10.zip

CCR.zip
DOI: 10.15468/dl.q3dc6d
title: Occurrence Download

description: A dataset containing 174305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Amazilia rutila (Delattre, 1843)",
 "Year 2010-2024"
 ]
}

 The dataset includes 174305 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002894-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.esp6pw
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.72593 -12.65775,-73.74387 -12.66858,-73.74248 -12.68211,-73.73323 -12.68651,-73.72354 -12.68299,-73.71089 -12.66933,-73.7185 -12.6631,-73.72593 -12.65775))",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 3 records were derived from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002897-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57745/omwyr0
title: Explore2

description: Le projet Explore2 (https://professionnels.ofb.fr/fr/node/1244), porté par INRAE et l'Office International de l'eau (OiEau), s'inscrit dans la suite de l'étude Explore 2070 (2010-2012) grâce auquel les acteurs de la recherche, autour du Ministère de l'écologie, avaient établi des premiers scénarios prospectifs de disponibilités des ressources en eau à l'échelle de la France. Ce nouveau projet a officiellement été lancé en juillet 2021. Co-financé par les partenaires du projet, le Ministère de la transition écologique (MTE) et l'Office français de la biodiversité (OFB), le projet Explore2 a pour objectif, d'ici 2024, d'actualiser les connaissances sur l'impact du changement climatique sur l'hydrologie à partir des dernières publications du GIEC, mais aussi d'accompagner les acteurs des territoires dans la compréhension et l'utilisation de ces résultats pour adapter leurs stratégies de gestion de la ressource en eau. Le volet scientifique est coordonné par Eric SAUQUET (INRAE). Les informations mises à disposition ici viennent compléter les données hébergées sur le portail de services hydro-climatiques dédié à l'eau baptisé "DRIAS-Eau". Ce portail est en cours de développement sur le même modèle que le portail actuel DRIAS "Les futurs du climat" (http://www.drias-climat.fr/), qui met actuellement à disposition pour la France des informations climatiques régionalisées. Il devrait être fonctionnel début 2023.
DOI: 10.34740/kaggle/dsv/8806504
title: WallStreetBets 2022
DOI: 10.5281/zenodo.12569790
title: Earthquake catalog at the Blanco Transform Fault Zone between 2012 and 2013

description: The csv file provides an earthquake catalog derived from data of ocean-bottom seismometers operated between 2012 and 2013 at the Blanco Transform Fault Zone. The data file is in ASCII text format. The first row is a column header that describes the content of the catalog: Earthquake origin date, time, latitude, longitude, depth and local magnitude. Not all earthquakes have a local magnitude estimate due to data selection.
DOI: 10.5281/zenodo.12569791
title: Earthquake catalog at the Blanco Transform Fault Zone between 2012 and 2013

description: The csv file provides an earthquake catalog derived from data of ocean-bottom seismometers operated between 2012 and 2013 at the Blanco Transform Fault Zone. The data file is in ASCII text format. The first row is a column header that describes the content of the catalog: Earthquake origin date, time, latitude, longitude, depth and local magnitude. Not all earthquakes have a local magnitude estimate due to data selection.
DOI: 10.15468/dl.ucxhuz
title: Occurrence Download

description: A dataset containing 3728090 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Archilochus colubris (Linnaeus, 1758)",
 "Year 2010-2024"
 ]
}

 The dataset includes 3728090 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002898-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6v9k37
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lamiophlomis rotata (Benth. ex Hook.f.) Kudô"
 ]
}

 The dataset includes 373 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002900-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8uysz2
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Bothrops asper (Garman, 1883)"
 ]
}

 The dataset's 1 records were derived from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002899-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.n3fyuy
title: Test for derived dataset

description: This data was filtered using a fake protocol
DOI: 10.15468/dd.2nrumz
title: Test for derived dataset

description: This data was filtered using a fake protocol
DOI: 10.15468/dl.4bw6e4
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Anoura caudifer (E.Geoffroy, 1818), Anoura aequatoris (Lönnberg, 1921))"
 ]
}

 The dataset includes 167 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002901-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1387130.10fu
title: SH1387130.10FU

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/sh1387132.10fu
title: SH1387132.10FU

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/sh1387135.10fu
title: SH1387135.10FU

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/sh1387139.10fu
title: SH1387139.10FU

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/sh1387140.10fu
title: SH1387140.10FU

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/sh1387142.10fu
title: SH1387142.10FU

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/sh1387143.10fu
title: SH1387143.10FU

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.