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

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polyommatus icarus (von Rottemburg, 1775)",
 "Year is 43",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007974-241107131044228/datasets/export for details.
DOI: 10.15468/dl.9mu6ye
title: Occurrence Download

description: A dataset containing 3092 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Daucus durieua Lange"
 ]
}

 The dataset includes 3092 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007975-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gffdnj
title: Occurrence Download

description: A dataset containing 165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rupicapra rupicapra (Linnaeus, 1758)",
 "Country is New Zealand",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 165 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007976-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xn658t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelophylax esculentus (Linnaeus, 1758)",
 "Year is 43",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007978-241107131044228/datasets/export for details.
DOI: 10.25345/c5rf5kt0h
title: MassIVE MSV000096376 - Spatial Proteomics by Trapped Ion Mobility supported MALDI MS/MS Imaging: A First Glance into Multiplexed and Spatial Peptide Identification
title: RATIONALE In spatial proteomics, matrix-assisted laser desorption/ionization (MALDI) imaging enables rapid and cost-effective peptide measurement. Yet, in situ peptide identification remains challenging. Therefore, this study aims to integrate the trapped ion mobility spectrometry (TIMS)-based parallel accumulation-serial fragmentation (PASEF) into MALDI imaging of peptides to enable multiplexed MS/MS imaging. METHODS An initial MALDI TIMS MS1 survey measurement is performed, followed by a manual generation of a precursor list containing mass over charge values and ion mobility windows. Inside the dual TIMS system, submitted precursors are trapped, separately eluted by their ion mobility and analyzed in a quadrupole time-of-flight device, thereby enabling multiplexed MALDI MS/MS imaging. Finally, precursors are identified by peptide to spectrum matching. RESULTS This study presents the first multiplexed MALDI TIMS MS/MS imaging (iprm-PASEF) of tryptic peptides. Its applicability is showcased on two histomorphologically distinct tissue specimens in a 4-plex and 5-plex setup. Precursors were successfully identified by the search engine MASCOT in one single MALDI imaging experiment for each respective tissue. Peptide identifications were corroborated by liquid-chromatography tandem mass spectrometry experiments and fragment colocalization analyses. CONCLUSIONS In the present study, we demonstrate the feasibility of TIMS-based MALDI MS/MS imaging for the multiplexed and rapid identification of tryptic peptides in a spatial manner. Hence, it represents a first step towards the integration of MALDI imaging into the emerging field of spatial proteomics. The datasets will be uploaded separately. This data set contains the PDX MSMS data. There are two tissues vissible on the.tif image. The relevant one is on the left side of the slide (away from the barcode).
DOI: 10.15468/dl.eg9ufm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lissotriton vulgaris (Linnaeus, 1758)",
 "Year is 43",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007979-241107131044228/datasets/export for details.
DOI: 10.15468/dl.qmhumn
title: Occurrence Download

description: A dataset containing 93270 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is African Mammalia"
 ]
}

 The dataset includes 93270 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007977-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgafwb
title: Occurrence Download

description: A dataset containing 454 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocus aleppicus Baker"
 ]
}

 The dataset includes 454 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007980-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bspnf3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 44",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007981-241107131044228/datasets/export for details.
DOI: 10.5066/p90332ld
title: Geomorphic assessment at three real-time bridge scour monitoring sites in Idaho, 2020-2021

description: To observe real-time pier scour at three scour-critical sites in Idaho, the U.S. Geological Survey, in cooperation with Idaho Transportation Department, installed and operated fixed real-time (15-minute interval) bed elevation scour sonar sensors at three bridge locations associated with U.S. Geological Survey streamflow gaging stations for water years 2020 through 2022. Observed pier scour data during spring runoff (water years 2020–22) were compared to both Coarse Bed and Hydraulic Engineering Circular 18 (HEC-18) general pier scour design equation estimates to better understand how the observed pier scour data compared to design pier scour equation estimates during the same observational periods. As part of the larger study, site-specific geomorphic data and other observations were collected during a single visit to each bridge. Geomorphic data collected during each visit included a Wolman pebble count (Wolman, 1954) to define the median diameter of the streambed material, an estimate of the flow angle of attack (during peak flow conditions), an assessment of pier shape and dimensions, observations of the floodplain, and observations of bridge scour countermeasures. In addition, a GNSS site survey was completed to update the gage datum water surface elevations and determine the elevation of each bridge structure (road deck and low chord elevations). Real-time (15-minute) hydrologic data were available at each USGS streamflow gaging station (both prior to and during this study) and included real-time discharge and water-surface elevation data (U.S. Geological Survey, 2016, 2024a, 2024b, 2024c). The historic USGS discharge measurement data were used to develop peak flow velocity estimates at each site where the velocity is depth averaged over the cross-section. For each peak flow, the velocity was linearly interpolated using observed measurement data collected from each bridge. Depth for each peak flow condition was computed using the difference between the water surface elevation and the computed channel bed elevation at each site. Geomorphic site surveys provided site specific parameters required for the hydraulic assessment.
DOI: 10.15468/dl.y6qr9u
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hyparrhenia gossweileri Stapf",
 "Continent is Africa"
 ]
}

 The dataset includes 18 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000513-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mkkjkm
title: Occurrence Download

description: A dataset containing 301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "CoordinateUncertaintyInMeters 0.0-30.0",
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceanothus americanus L."
 ]
}

 The dataset includes 301 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000517-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zngkgy
title: Occurrence Download

description: A dataset containing 812963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is one of (Mycteria americana Linnaeus, 1758, Ciconia boyciana Swinhoe, 1873, Ciconia maguari (Gmelin, 1789))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 812963 records from 217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000475-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xbng53
title: Occurrence Download

description: A dataset containing 10044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Ortalis garrula (Humboldt, 1805)"
 ]
}

 The dataset includes 10044 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000515-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0180354.10fu
title: SH0180354.10FU

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/sh0180355.10fu
title: SH0180355.10FU

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/sh0180356.10fu
title: SH0180356.10FU

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: 10.5519/qd.mifkhyft
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15156/bio/sh0180357.10fu
title: SH0180357.10FU

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/sh0180358.10fu
title: SH0180358.10FU

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/sh0180359.10fu
title: SH0180359.10FU

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.nfty4c
title: Occurrence Download

description: A dataset containing 5523 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Sphagneticola trilobata"
 ]
}

 The dataset includes 5523 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001681-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0180360.10fu
title: SH0180360.10FU

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.2f7ejy
title: Occurrence Download

description: A dataset containing 98747 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pyrgus malvae (Linnaeus, 1758)"
 ]
}

 The dataset includes 98747 records from 543 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045940-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yes7jc
title: Occurrence Download

description: A dataset containing 31566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United States of America",
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is USA.47.94_1",
 "OccurrenceStatus is Present",
 "Year 2018-2024"
 ]
}

 The dataset includes 31566 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038212-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8q4zpt
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "StateProvince is utah",
 "HasCoordinate is true",
 "TaxonKey is Bromus marginatus Nees ex Steud.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007716-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.umrdtg
title: Occurrence Download

description: A dataset containing 26265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.71238 14.76485,120.71464 14.71446,120.73785 14.66955,120.82201 14.61901,120.90616 14.60216,120.94944 14.61126,121.002 14.69399,121.02632 14.73723,121.01534 14.78427,120.97927 14.84151,120.94607 14.87399,120.90796 14.8832,120.88626 14.88116,120.84497 14.88167,120.82644 14.88218,120.77775 14.87348,120.73972 14.84609,120.71104 14.81063,120.71238 14.76485))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 26265 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045916-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pxzkew
title: Occurrence Download

description: A dataset containing 432 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lantana viburnoides (Forssk.) Vahl"
 ]
}

 The dataset includes 432 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038187-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z4n5se
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((78.63116 18.44365,156.36884 18.44365,156.36884 49.55635,78.63116 49.55635,78.63116 18.44365))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Satarupa nymphalis (Speyer, 1879)"
 ]
}

 The dataset includes 54 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045944-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ke6baw
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kihansia lovettii Cheek"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038263-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g5zzq5
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dreissena polymorpha (Pallas, 1771)",
 "Geometry POLYGON((15.19 58.69,15.19 60.01,19.26 60.01,19.26 58.69,15.19 58.69))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 152 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007717-160118175350007/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.