cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0075367.10fu
title: SH0075367.10FU

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: 10.13145/bacdive7325.20250331.9.3
title: Frigoribacterium faeni Kämpfer et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7325.20251217.10
title: Frigoribacterium faeni Kämpfer et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075368.10fu
title: SH0075368.10FU

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: 10.13145/bacdive7326.20241212.9.2
title: Frigoribacterium faeni Kämpfer et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7326.20251217.10
title: Frigoribacterium faeni Kämpfer et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7327.20241212.9.2
title: Frigoribacterium faeni Kämpfer et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075369.10fu
title: SH0075369.10FU

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: 10.13145/bacdive7327.20251217.10
title: Frigoribacterium faeni Kämpfer et al. 2000

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive7328.20241212.9.2
title: Parafrigoribacterium mesophilum (Dastager et al. 2008) Kong et al. 2016

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0075370.10fu
title: SH0075370.10FU

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: 10.5281/zenodo.14989521
title: Environmantal Data for Powdery Mildew, Downy Mildew

description: This dataset includes csv files of environmental IoT data spanning from 2020 to May 2024. The IoT sensors were installed in a field of grapevines.

The dataset also includes labeling on whether there is or not Powdery Mildew and Downy Mildew.

The dataset contains 3 type of environmental parameters (Temperature, Humidity and Pluviometer). 

Apart from the original IoT data, the dataset also includes synthetically generated data using Gaussian Copula (2020_2024_synth_form) and also synthetically generated data using additive Gaussina noise.

 

Data were created and published under AgriDataValue HORIZON research project, funded by the European Commission under Horizon Europe program Grant Agreement 101086461 AgriDataValue.
DOI: 10.5281/zenodo.14989522
title: Environmantal Data for Powdery Mildew, Downy Mildew

description: This dataset includes csv files of environmental IoT data spanning from 2020 to May 2024. The IoT sensors were installed in a field of grapevines.

The dataset also includes labeling on whether there is or not Powdery Mildew and Downy Mildew.

The dataset contains 3 type of environmental parameters (Temperature, Humidity and Pluviometer). 

Apart from the original IoT data, the dataset also includes synthetically generated data using Gaussian Copula (2020_2024_synth_form) and also synthetically generated data using additive Gaussina noise.

 

Data were created and published under AgriDataValue HORIZON research project, funded by the European Commission under Horizon Europe program Grant Agreement 101086461 AgriDataValue.
DOI: 10.15468/dl.qhw83f
title: Occurrence Download

description: A dataset containing 1785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-0.5669723 47.51374, -0.5642075 47.50846, -0.5660337 47.49688, -0.5267265 47.49026, -0.5186352 47.51143, -0.5212107 47.53076, -0.5667248 47.52118, -0.5669723 47.51374))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, NATURALISED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 500",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1785 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000939-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vk84uw
title: Occurrence Download

description: A dataset containing 121148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Callicarpa americana L., Scleria ciliata Michx., Symphoricarpos orbiculatus Moench, Acer pensylvanicum L., Acer rubrum L., Aralia nudicaulis L., Betula alleghaniensis Britton, Betula lenta L., Fraxinus americana L., Maianthemum canadense Desf., Maianthemum racemosum (L.) Link, Medeola virginiana L., Mitchella repens L., Prunus serotina Ehrh., Uvularia sessilifolia L., Vaccinium corymbosum L., Viburnum acerifolium L., Erodium cicutarium (L.) L'Hér., Ceratocephala orthoceras DC., Strigosella africana (L.) Botsch., Croton argyranthemus Michx., Stillingia sylvatica L., Tephrosia virginiana (L.) Pers., Vaccinium arboreum Marshall, Ceanothus cuneatus (Hook.) Nutt., Dipterostemon capitatus (Benth.) Rydb., Lupinus bicolor Lindl., Quercus wislizeni A.DC., Carnegiea gigantea (Engelm.) Britton & Rose, Cylindropuntia leptocaulis (DC.) F.M.Knuth, Cylindropuntia imbricata (Haw.) F.M.Knuth, Ferocactus wislizeni (Engelm.) Britton & Rose, Larrea tridentata (DC.) Coult., Opuntia engelmannii Salm-Dyck ex Engelm., Parkinsonia florida (Benth. ex A.Gray) S.Watson, Prosopis velutina Wooton, Senegalia greggii (A.Gray) Britton & Rose, Streptanthus carinatus C.Wright, Cornus canadensis L., Corylus cornuta Marshall, Dirca palustris L., Fraxinus nigra Marshall, Ilex verticillata (L.) A.Gray, Oryzopsis asperifolia Michx., Ostrya virginiana (Mill.) K.Koch, Populus grandidentata Michx., Lysimachia borealis (Raf.) U.Manns & Anderb., Acer circinatum Pursh, Mahonia nervosa (Pursh) Nutt., Gaultheria shallon Pursh, Rosa gymnocarpa Nutt. ex Torr. & A.Gray, Trillium ovatum Pursh, Vaccinium membranaceum Douglas ex Hook., Vaccinium ovalifolium Sm., Vaccinium parvifolium Sm., Viola sempervirens Greene, Ribes oxyacanthoides L., Shepherdia canadensis (L.) Nutt.)",
 "Country is United States of America",
 "Year is 2024"
 ]
}

 The dataset includes 121148 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000924-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.58032/agh/yquneq
title: Foliar application of silica nanoparticles enhances the growth of grapevines under field conditions - research data

description: In this study, we tested the influence of foliar application of silica (SiO2) on grapevines at the field scale in Wieliczka Vineyard. The silica particles were efficiently absorbed by the grapevine leaves, and the concentration of silicon was at least three times higher in SiO2-sprayed plants compared to controls. Our study demonstrates a stimulating effect of silica on grapevine plants. The data clearly indicated improved plant performance, characterized by increased photosynthetic activity and enhanced values of the normalized difference vegetation index in plants fertilized with nano-SiO2 during the overall measurement period. The net CO2 assimilation rate, maximum quantum yield of photosystem II, and performance index were all increased in SiO2-treated plants. Moreover, we observed delayed senescence of leaves sprayed with silica.
DOI: 10.15468/dl.3jp8hs
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia dinarica (Beck) Murb."
 ]
}

 The dataset includes 29 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000940-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r78re5
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-75.20818 7.99611,-75.20842 7.99552,-75.20993 7.99181,-75.20406 7.98854,-75.19876 7.98936,-75.19842 7.99393,-75.19953 7.99498,-75.20476 7.99568,-75.20645 7.99589,-75.20818 7.99611))"
 ]
}

 The dataset includes 77 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000941-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15000715
title: LC-MS/MS raw data_Pakepu&Comparison fragments

description: LC-MS/MS raw data from Pakepu coffin set and the comparison fragments, employed for the processing with Novor Cloud, MaxQuant and Unipept
DOI: 10.5281/zenodo.15000716
title: LC-MS/MS raw data_Pakepu&Comparison fragments

description: LC-MS/MS raw data from Pakepu coffin set and the comparison fragments, employed for the processing with Novor Cloud, MaxQuant and Unipept
DOI: 10.15468/dl.ejjtzb
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephaspis bicolor Gordon, 1982",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000942-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33v6ah
title: Occurrence Download

description: A dataset containing 1785 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((-0.5669723 47.51374, -0.5642075 47.50846, -0.5660337 47.49688, -0.5267265 47.49026, -0.5186352 47.51143, -0.5212107 47.53076, -0.5667248 47.52118, -0.5669723 47.51374))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, NATURALISED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 500",
 "DistanceFromCentroidInMeters is greater than or equal to 2000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1785 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000943-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25380/iastate.28327076
title: Rootworm Bioassay Data and Root-Injury Scores: PNAS 2025

description: Transgenic crops that produce insecticidal toxins derived from the bacterium Bacillus thuringiensis (Bt) are grown worldwide to manage insect pests. Western corn rootworm is a serious pest of maize in the United States and is managed with Bt maize. However, some field populations of western corn rootworm have evolved resistance to all types of Bt maize that are currently used to manage this pest. This data set contains data on feeding injury to Bt maize by western corn rootworm in multiple fields in Iowa, USA. For several of these fields, adult western corn rootworm were collected and their larval progeny used in plant-based bioassays to measure resistance to Bt maize, and these data also are included in this data set. Finally, as part of this study, a meta-analysis was conducted using bioassay data spanning 12 years to test for changes over time in resistance to Bt maize by western corn rootworm, and the data used for this meta-analysis are provided. The data are presented across five .csv files.
DOI: 10.15468/dl.xdndpp
title: Occurrence Download

description: A dataset containing 860453 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Western Australian Herbarium (PERTH) AVH data"
 ]
}

 The dataset includes 860453 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000938-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tz4ar4
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphrasia dinarica (Beck) Murb."
 ]
}

 The dataset includes 29 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000945-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14996956
title: Achieving Energy Efficiency in Microservice-based Cloud Applications: A Systematic Study
DOI: 10.25976/8oxw-g421
title: Source Water Monitoring

description: ACAP Saint John in partnership with Boreal Environmental are monitoring tributaries to the City of Saint John’s drinking water lakes in order to gauge inputs and future risks. This work is being completed under the direction and funding from Saint John Water.
description: A YSI professional plus is used to collect in-situ data at all sampling locations. Additional grab samples are collected for key parameters and bacteria.
DOI: 10.15468/dl.sbdayj
title: Occurrence Download

description: A dataset containing 49066956 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Ixonanthaceae, Violaceae, Casuarinaceae, Didiereaceae, Styracaceae, Betulaceae, Verbenaceae, Rhamnaceae, Annonaceae, Icacinaceae, Picramniaceae, Alzateaceae, Burseraceae, Amborellaceae, Taxaceae, Sapotaceae, Cannabaceae, Amphorogynaceae, Aptandraceae, Araliaceae, Stilbaceae, Cleomaceae, Nyctaginaceae, Picrodendraceae, Scrophulariaceae, Erythroxylaceae, Capparaceae, Anisophylleaceae, Dipterocarpaceae, Acanthaceae, Rhizophoraceae, Gentianaceae, Caryocaraceae, Celastraceae, Loganiaceae, Aphloiaceae, Apiaceae, Metteniusaceae, Plantaginaceae, Torricelliaceae, Turneraceae, Bonnetiaceae, Convolvulaceae, Aristolochiaceae, Cactaceae, Chloranthaceae, Asteropeiaceae, Urticaceae, Solanaceae, Atherospermataceae)"
 ]
}

 The dataset includes 49066956 records from 9675 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000929-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1071611.10fu
title: SH1071611.10FU

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/sh1071615.10fu
title: SH1071615.10FU

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/sh1071622.10fu
title: SH1071622.10FU

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/sh1071623.10fu
title: SH1071623.10FU

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.