cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16573644
title: Data and code from: Syntopic diet divergence inferred from metabarcoding in two parulid warblers: black-throated green warblers (Setophaga virens) and ovenbirds (Seiurus aurocapilla)

description: Data Files: BTNW_OVEN_sample_info_Zenodo.xlsx; sample and banding information for individuals captured for the study. http://btnw_oven_scripts_for_zenodo.sh/; QIIME2 scripts for analyses of diet items used in the study.

Abstract:

The role of diet in driving ecological differences across the radiation of parulid wood warblers has been a topic of substantial debate. The inferences made in Robert MacArthur’s original study of their niche differences relied heavily on observations from micro-habitat partitioning. How these different foraging behaviors translated to distinct diets and, more specifically, individual prey items has been less clear. Here we use fecal metabarcoding of two syntopic insectivorous warblers—the Black-Throated Green warbler (Setophaga virens) and Ovenbird (Seiurus aurocapilla)—to complement and expand previous work, and we address past limitations by densely sampling many birds at the same location over a short period of time. We found highly significant differences in diet composition using several multi-variate measures of diversity. In an analysis of individual diet proportions of insect orders, S. aurocapilla consumed more beetles and flies (Coleoptera and Diptera), while S. virens consumed more “true bugs” (Hemiptera) and stoneflies (Plecoptera). At the arthropod species level, we found that both warblers readily consumed invasive spongy moths (Lymantria dispar), and we identified nine other arthropod species that significantly differed between the warblers. Of those, for three spider taxa, we combined warbler diet information with observations from arthropod collections, and showed that spiders which were more likely to be encountered on the ground were exclusively eaten by S. aurocapilla, whereas those encountered above ground were more likely to be consumed by S. virens, fitting with the expected vertical foraging stratification of the warblers. We interpret these diet differences as likely due to these two warbler species “opportunistically” encountering different arthropod assemblages in distinct foraging strata as opposed to “preferentially” consuming different prey. Our research emphasizes the benefits of extending analyses to more distantly related taxa—beyond those considered by MacArthur—and suggests a need for similar fine-scale studies within genera to enhance our understanding of dietary dynamics.
DOI: 10.3535/z73-zkl-p4h
title: Asplenium L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.5281/zenodo.16573643
title: Data and code from: Syntopic diet divergence inferred from metabarcoding in two parulid warblers: black-throated green warblers (Setophaga virens) and ovenbirds (Seiurus aurocapilla)

description: Data Files: BTNW_OVEN_sample_info_Zenodo.xlsx; sample and banding information for individuals captured for the study. http://btnw_oven_scripts_for_zenodo.sh/; QIIME2 scripts for analyses of diet items used in the study.

Abstract:

The role of diet in driving ecological differences across the radiation of parulid wood warblers has been a topic of substantial debate. The inferences made in Robert MacArthur’s original study of their niche differences relied heavily on observations from micro-habitat partitioning. How these different foraging behaviors translated to distinct diets and, more specifically, individual prey items has been less clear. Here we use fecal metabarcoding of two syntopic insectivorous warblers—the Black-Throated Green warbler (Setophaga virens) and Ovenbird (Seiurus aurocapilla)—to complement and expand previous work, and we address past limitations by densely sampling many birds at the same location over a short period of time. We found highly significant differences in diet composition using several multi-variate measures of diversity. In an analysis of individual diet proportions of insect orders, S. aurocapilla consumed more beetles and flies (Coleoptera and Diptera), while S. virens consumed more “true bugs” (Hemiptera) and stoneflies (Plecoptera). At the arthropod species level, we found that both warblers readily consumed invasive spongy moths (Lymantria dispar), and we identified nine other arthropod species that significantly differed between the warblers. Of those, for three spider taxa, we combined warbler diet information with observations from arthropod collections, and showed that spiders which were more likely to be encountered on the ground were exclusively eaten by S. aurocapilla, whereas those encountered above ground were more likely to be consumed by S. virens, fitting with the expected vertical foraging stratification of the warblers. We interpret these diet differences as likely due to these two warbler species “opportunistically” encountering different arthropod assemblages in distinct foraging strata as opposed to “preferentially” consuming different prey. Our research emphasizes the benefits of extending analyses to more distantly related taxa—beyond those considered by MacArthur—and suggests a need for similar fine-scale studies within genera to enhance our understanding of dietary dynamics.
DOI: 10.3535/fqw-1g0-hsm
title: Rumex chalepensis Mill.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kms-c9j-qt0
title: Potamogeton nodosus Poir.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cv8-4pl-z3b
title: Rumex conglomeratus Murray

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pfp-s37-gpk
title: Alyssum turkestanicum Regel & Schmalh. ex Regel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7lx-0cr-qy4
title: Carex depressa subsp. transsilvanica (Schur) K.Richt.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jzw-baq-7wh
title: Onobrychis arenaria subsp. taurerica Hand.-Mazz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/rnh-eay-lnr
title: Chorispora persica Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/frk-p5n-j8j
title: Poiretia coriifolia Vogel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yxg-mbw-3gf
title: Betula utilis subsp. occidentalis Kitam.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/83s-w8v-dm8
title: Viola suavis M. Bieb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n59-kw3-xw9
title: Calligonum tetrapterum Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nqv-0tc-dzk
title: Stuckenia pectinata (L.) Börner

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0ve-ybm-a7r
title: Alyssum turkestanicum Regel & Schmalh. ex Regel

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y6m-w3n-6fm
title: Potamogeton natans L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ak0-slx-mcq
title: Calligonum tetrapterum Jaub. & Spach

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mxn-s20-k38
title: Graellsia integrifolia (Rech. fil.) Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/asf-fk4-r7h
title: Carex depressa subsp. transsilvanica (Schur) K.Richt.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/cax-66v-n8z
title: Thesium parnassi A. DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ame-g36-k9d
title: Lessingianthus coriaceus (Less.) H. Rob.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xdf-cv4-3hp
title: Cousinia iranshahrii Rech. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6r4-wsl-8q3
title: Potamogeton natans L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/tx3-a5z-hwm
title: Chiococca alba (L.) Hitchc.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5z1-1td-7rm
title: Dichoropetalum chryseum (Boiss. & Heldr.) Pimenov & Kljuykov

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/psr-9yk-njl
title: Tassadia aristata (Benth. ex E. Fourn.) Fontella

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/yal-q58-lh9
title: Crotalaria unifoliolata Benth.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0vd-2cl-sm6
title: Hedysarum bucharicum B.Fedtsch.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/a8r-bt9-lqc
title: Ditassa bicolor Decne.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/498-lck-369
title: Salix L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/knh-a8l-k4j
title: Cithareloma lehmannii Bunge

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qwe-vz9-8cv
title: Alternanthera dentata Stuchlík ex R. E. Fr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.vsctgh
title: Occurrence Download

description: A dataset containing 27764 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leiothrix lutea)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 27764 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068129-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/g65-7lh-4vg
title: Meniocus linifolius (Stephan ex Willd.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/k49-vl1-1bt
title: Meniocus linifolius (Stephan ex Willd.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/lwx-hcx-yqv
title: Gomphrena pohlii Moq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ymj-p6j-edk
title: Lolium perenne L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.3pkv6n
title: Occurrence Download

description: A dataset containing 26020 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Leiothrix lutea)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 26020 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068130-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/6pm-a6k-6zp
title: Amauropelta opposita (M. Vahl) Pic. Serm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/d3q-3ly-lbj
title: Scorzonera cana (C. A. Mey.) O. Hoffm.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/svn-bmr-t2r
title: Meniocus linifolius (Stephan ex Willd.) DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15156/bio/sh1387325.10fu
title: SH1387325.10FU

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/sh1387326.10fu
title: SH1387326.10FU

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/sh1387327.10fu
title: SH1387327.10FU

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/sh1387328.10fu
title: SH1387328.10FU

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.n9f6ct
title: Occurrence Download

description: A dataset containing 74662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Serbia",
 "DatasetKey is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 74662 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005884-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1387330.10fu
title: SH1387330.10FU

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/sh1387333.10fu
title: SH1387333.10FU

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/sh1387334.10fu
title: SH1387334.10FU

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/sh1387335.10fu
title: SH1387335.10FU

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/sh1387336.10fu
title: SH1387336.10FU

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.