cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh2021439.08fu
title: SH2021439.08FU

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/sh2021440.08fu
title: SH2021440.08FU

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/sh1341216.08fu
title: SH1341216.08FU

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/sh1341217.08fu
title: SH1341217.08FU

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/sh2021441.08fu
title: SH2021441.08FU

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/sh2021442.08fu
title: SH2021442.08FU

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/sh1341218.08fu
title: SH1341218.08FU

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/sh1341219.08fu
title: SH1341219.08FU

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.nujbef
title: Occurrence Download

description: A dataset containing 33635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lynx lynx (Linnaeus, 1758)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 33635 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095385-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13373999
title: ENDGAME - Laboratory Experiment 2024-01-18 Exp. 014 - High Speed Camera data

description: Shock-tube experiments in combination with high speed Schlieren shadow photography. 

The shocktube setup consists of a high-pressure reservoir connected with a cylindrical tube through a diaphragm pulse valve which allows a fast release of pressurized gas into the ambient pressure tube. The high-pressure reservoir is filled with compressed air at a given overpressure with respect to ambient pressure (up to 8 bar). The pipe was either empty (i.e. with air at ambient conditions) or filled with a given amount of small particles. We adopted pipes an inner diameter of 4 cm and different lengths (20, 30 and 80 cm). We also considered different volumes of pressurized gas (~650 cm3 and ~1550 cm3). A pressure sensor has been placed at the vent of the conduit to record pressure variations during experiments. Images from the high speed camera were collected at a frame rate of 30000 fps.

When the valve is open, a jet flow is produced, with shock and acoustic waves propagating in the atmosphere, which become visible due to the high speed Schlieren shadow photography.
DOI: 10.5281/zenodo.13374000
title: ENDGAME - Laboratory Experiment 2024-01-18 Exp. 014 - High Speed Camera data

description: Shock-tube experiments in combination with high speed Schlieren shadow photography. 

The shocktube setup consists of a high-pressure reservoir connected with a cylindrical tube through a diaphragm pulse valve which allows a fast release of pressurized gas into the ambient pressure tube. The high-pressure reservoir is filled with compressed air at a given overpressure with respect to ambient pressure (up to 8 bar). The pipe was either empty (i.e. with air at ambient conditions) or filled with a given amount of small particles. We adopted pipes an inner diameter of 4 cm and different lengths (20, 30 and 80 cm). We also considered different volumes of pressurized gas (~650 cm3 and ~1550 cm3). A pressure sensor has been placed at the vent of the conduit to record pressure variations during experiments. Images from the high speed camera were collected at a frame rate of 30000 fps.

When the valve is open, a jet flow is produced, with shock and acoustic waves propagating in the atmosphere, which become visible due to the high speed Schlieren shadow photography.
DOI: 10.15468/dl.sjx6kb
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Bianor albobimaculatus (Lucas, 1846)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 169 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095389-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n35rkm
title: Occurrence Download

description: A dataset containing 38905815 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April)",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2017-2017"
 ]
}

 The dataset includes 38905815 records from 1354 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095320-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mbumv
title: Occurrence Download

description: A dataset containing 157 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Carabus rutilans Dejean, 1826",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 157 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095394-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9upvp8
title: Occurrence Download

description: A dataset containing 4941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Podarcis tiliguerta (Gmelin, 1789)",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 4941 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095392-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wn4qhs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cirsium davisianum Kit Tan & Sorger)",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 100",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095393-240626123714530/datasets/export for details.
DOI: 10.15468/dl.3pnec6
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Reptalus panzeri (Löw, 1883)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 55 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095391-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whjq2a
title: Occurrence Download

description: A dataset containing 4374 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "SpeciesKey is Xerolycosa nemoralis (Westring, 1861)",
 "Year is greater than or equal to 2004",
 "Year is less than or equal to 2023"
 ]
}

 The dataset includes 4374 records from 155 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0095395-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18742/23905944.v1
title: Data for MACE Dissertation: 'Identity formation within an undergraduate longitudinal General Practice placement: A Case Study Exploration through the Lens of Communities of Practice'

description: Data collected for Masters in Clinical Education to address the following inquiry: <br>My research aim is therefore to explore the role of a longitudinal GP placement in medical students’ professional identity development in the early years of medical school.My research will use 4 specific sub-questions to focus it:· How do students undertaking an undergraduate longitudinal GP placement participate and learn within Communities of Practice?· What do students and tutors report about the process and extent of student's identity formation within the GP longitudinal placement?· What factors are perceived to bear the greatest impact on student learning and identity formation within a Community of Practice?· What are students’ and tutors’ perceptions of the extent of student participation and membership of the GP Community of Practice? How far are student and tutor views aligned and what are the implications of this alignment or lack of alignment?
DOI: 10.26300/8p9e-j120
title: Data documentation for Do End-of-Life Outcomes Differ by Assisted Living Memory-Care Designation?
DOI: 10.5281/zenodo.8344755
title: ASASSN-21qj astronomical observations

description: Data from astronomical observatories looking at the star ASASSN-21qj.
DOI: 10.5281/zenodo.8344754
title: ASASSN-21qj astronomical observations

description: Data from astronomical observatories looking at the star ASASSN-21qj.
DOI: 10.18462/iir.icr.2023.0730
title: An innovative tool to evaluate and optimize GHG emissions in the food supply.
DOI: 10.5281/zenodo.7361386
title: Bayesian phylodynamic and phylogeographic analyses of invasive, hypervirulent Streptococcus agalactiae sequence type 283 dataset and R code

description: Supplementary dataset S1, R code, and subsampled trees
DOI: 10.5281/zenodo.7361387
title: Bayesian phylodynamic and phylogeographic analyses of invasive, hypervirulent Streptococcus agalactiae sequence type 283 dataset and R code

description: Supplementary dataset S1, R code, and subsampled trees
DOI: 10.5281/zenodo.7858214
title: Bayesian phylodynamic and phylogeographic analyses of invasive, hypervirulent Streptococcus agalactiae sequence type 283 dataset and R code

description: Supplementary dataset S1, R code, and subsampled trees
DOI: 10.5281/zenodo.8345450
title: Bayesian phylodynamic and phylogeographic analyses of invasive, hypervirulent Streptococcus agalactiae sequence type 283 dataset and R code

description: Supplementary dataset S1, R code, and subsampled trees
DOI: 10.5281/zenodo.8345470
title: First trial fairly dataset v.1.1.

description: A dataset from the Fairly Toolset workshop
DOI: 10.5281/zenodo.8345471
title: First trial fairly dataset v.1.1.

description: A dataset from the Fairly Toolset workshop
DOI: 10.24396/ordar-133
title: InSAR products from the publication: "Along-strike variation of the strain partitioning within the Apen- nines as seen from large-scale multi-temporal InSAR analysis"

description: Horizontal/vertical decomposition products (90m spatial resolution) * Vertical_mmyr.tif/Vertical_sig_mmyr.tif: vertical surface velocities and uncertainties (mm/yr) * N50E_mmyr.tif/N50E_sig_mmyr.tif; horizontal surface velocities and uncertainties in the N50E direction (mm/yr) Descending track 022 products (90m spatial resolution) * T022_inter_LOSVelocity_nan_mmyr_s90_flat.tiff/T022_LOS_sigVelocity_nan_mmyr_s90.tiff: LOS velocities and uncertainty map (mm/yr) * T022_sin_nan_mm_s90.tiff: Sinusoidal amplitude map (mm) * T022_cos_nan_mm_s90.tiff: Cosine amplitude map (mm) * T022_Amplitude_nan_mm_s90.tiff: Amplitude map of the seasonal displacements (mm) * T022_Norcia_nan_mm_s90_crop.tiff: Norcia earthquake amplitude map (mm) * T022_Compotosto_nan_mm_s90_crop.tiff: Compotosto earthquake amplitude map (mm) * T022_Amatrice_nan_mm_s90_crop.tiff: Amatrice earthquake amplitude map (mm) * T022_look_s90.tif: Incidence angle map (degree) * T022_head_s90.tif: Heading angle map (degree) Ascending track 044 products (90m spatial resolution) * T044_inter_LOSVelocity_nan_mmyr_s90_flat.tiff/T044_LOS_sigVelocity_nan_mmyr_s90.tiff: LOS velocities and uncertainty map (mm/yr) * T044_sin_nan_mm_s90.tiff: Sinusoidal amplitude map (mm) * T044_cos_nan_mm_s90.tiff: Cosine amplitude map (mm) * T044_Amplitude_nan_mm_s90.tiff: Amplitude map of the seasonal displacements (mm) * T044_Norcia_nan_mm_s90_crop.tiff: Norcia earthquake amplitude map (mm) * T044_Compotosto_nan_mm_s90_crop.tiff: Compotosto earthquake amplitude map (mm) * T044_Amatrice_nan_mm_s90_crop.tiff: Amatrice earthquake amplitude map (mm) * T044_look_s90.tif: Incidence angle map (degree) * T044_head_s90.tif: Heading angle map (degree) Ascending track 117 products (90m spatial resolution) * T117_inter_LOSVelocity_nan_mmyr_s90_flat.tiff/T117_LOS_sigVelocity_nan_mmyr_s90.tiff: LOS velocities and uncertainty map (mm/yr) * T117_sin_nan_mm_s90.tiff: Sinusoidal amplitude map (mm) * T117_cos_nan_mm_s90.tiff: Cosine amplitude map (mm) * T117_Amplitude_nan_mm_s90.tiff: Amplitude map of the seasonal displacements (mm) * T117_Norcia_nan_mm_s90_crop.tiff: Norcia earthquake amplitude map (mm) * T117_Compotosto_nan_mm_s90_crop.tiff: Compotosto earthquake amplitude map (mm) * T117_Amatrice_nan_mm_s90_crop.tiff: Amatrice earthquake amplitude map (mm) * T117_look_s90.tif: Incidence angle map (degree) * T117_head_s90.tif: Heading angle map (degree)
DOI: 10.6084/m9.figshare.24137619.v2
title: Transformer-based deep learning integrates multi-omic data with cancer pathways

description: Intermediate files required in config files.Details see https://github.com/CMRI-ProCan/DeePathNet
DOI: 10.5519/qd.ez2x9lfg
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (44 records)
DOI: 10.6084/m9.figshare.24139257
title: DataSheetInstagram.xlsxMatriz de Datos Investigación Instagram Candidatas Comunidad Madrid 2023

description: This document outlines the material and methods employed in a research study aimed at identifying instances of hate speech within Instagram comments during the electoral campaign that occurred from May 12th to May 26th, 2023. The research is divided into two distinct phases. Initially, a comprehensive sample of comments generated across 175 posts made by the female candidates during this timeframe was collected, resulting in a total of 13,831 responses (refer to Table 1). This data collection process was executed utilizing the premium version of ExportComments.com.