cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/m95-13r-q8d
title: Triticum aestivum subsp. aestivum

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/nzj-7lh-56p
title: Petrorhagia prolifera (L.) P. W. Ball & Heywood

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/zrx-16a-zc0
title: Dianthus armeria L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/e39-g0t-sdn
title: Ocotea karsteniana Mez

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/er3-kxj-54x
title: Ocotea magnilimba Kosterm.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/ds0-zxg-msq
title: Silene behen L.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/pnb-5x0-w2f
title: Dianthus arenarius subsp. pseudoserotinus (Blocki) Tutin

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/fx8-6hp-l9m
title: Eremogone longifolia (M. Bieb.) Fenzl

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/vyk-hlt-ley
title: Triticum turgidum subsp. dicoccum (Schrank ex Schübl.) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/wwc-wc3-h17
title: Triticum turgidum subsp. dicoccum (Schrank ex Schübl.) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/0eb-0sk-wqx
title: Triticum turgidum subsp. polonicum (L.) Thell.

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/2h7-vqc-xaq
title: Ocotea jelskii Mez

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.3535/szv-y7h-2z2
title: Ocotea mandonii Mez

description: Digital Specimen for the physical specimen hosted at Botanic Garden and Botanical Museum Berlin.
DOI: 10.15468/dl.yygh68
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudotsuga menziesii",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 86 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011360-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/23365142.v3
title: The impact of electric / hybrid vehicles and bicycles on pedestrians who are blind or have low vision

description: The research study titled, “The impact of electric/hybrid vehicles and bicycles on pedestrians who are blind or have low vision” was commissioned by Vision Australia. This study was designed to gain a better understanding of the road safety experiences of people who are blind or have low vision. In particular, it aimed to specifically examine the challenges experienced by pedestrians who are vision impaired when navigating electric/hybrid vehicles as well as bicycles during their everyday travel. The ability to travel safely and independently has significant implications for overall health and well-being. This report documents the findings from the study and outlines a range of recommendations to enhance road safety for pedestrians who are blind or have low vision. It is likely that these same recommendations will also positively influence the safety of the broader pedestrian population.
DOI: 10.15468/dl.bqpw3c
title: Occurrence Download

description: A dataset containing 199 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asphodeline lutea",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 199 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007977-260208012135463/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26180/23305388.v1
title: Identification of countermeasures to address serious injury crashes, ECIS Report 4 (MUARC Report 346)

description:   
Through sponsorship and support from the Victorian Transport Accident Commission (TAC), the Monash University Accident Research Centre (MUARC) with leading local and international partners established the Enhanced Crash Investigation Study (ECIS).
The ECIS program was designed to provide insight into how serious injury crashes occur, and then, using this information, identify measures that would be effective in preventing occupants of vehicles being seriously injured in the event of a crash.
This <em>Report</em>, the fourth in the ECIS Report series, identifies measures that address factors associated with crash occurrence and serious injury. By identifying the full range of currently available countermeasures, as well as those expected to be available as vehicle technology evolves, opportunities to prevent serious injury crashes will be clear. Given this focus, it is anticipated that the findings of this report will be used to inform the development and implementation of road safety action plans aimed at eliminating serious injury crashes.
DOI: 10.5878/001666
title: The Student SOM Survey 2011
title: SOM-undersökningen till studenter 2011
title: Student-SOM 2011

description: This is the nineteenth study in the collection of Student-SOM surveys. The aim of these studies is to shed light on opinions and habits of the student generation of today. The questionnaire is mainly a replication of the questionnaire used in previous Student-SOM surveys. Data from two groups are included in this dataset: students and master’s students.

Purpose:

To find out how students feel about their education and the social environment at the University of Gothenburg
description: SOM-institutet har sedan 1993, tillsammans med Göteborgs universitets samhällsvetenskapliga fakultet, genomfört en studentundersökning. Det huvudsakliga syftet med undersökningen har varit att skapa tidsserier där det går att följa hur fakultetens studenter uppfattar sina studier och sin studiesociala miljö. Ett annat syfte är att identifiera studenterna som grupp, med fokus på exempelvis social bakgrund, ålder och bakomliggande orsaker till att de påbörjat sina studier. 
Genom dessa tidsserier kan man utläsa trender och trendbrott bland gruppen studenter. I 2011 års undersökning framgår bland annat att både antalet studenter med mer än 5 års arbetslivserfarenhet och antalet unga studenter har ökat. Studenterna är generellt mycket nöjda med sin utbildning och många tror sig ha god möjligheter i det kommande yrkeslivet. Data från två grupper ingår i detta dataset: student och masterstudent.

Syfte:

Ta reda på hur studenterna uppfattar sin utbildning och den studiesociala miljön vid Göteborgs universitet
DOI: 10.5878/znxf-4986
title: The Student SOM Survey 2011
title: SOM-undersökningen till studenter 2011
title: Student-SOM 2011

description: This is the nineteenth study in the collection of Student-SOM surveys. The aim of these studies is to shed light on opinions and habits of the student generation of today. The questionnaire is mainly a replication of the questionnaire used in previous Student-SOM surveys. Data from two groups are included in this dataset: students and master’s students.

Purpose:

To find out how students feel about their education and the social environment at the University of Gothenburg
description: SOM-institutet har sedan 1993, tillsammans med Göteborgs universitets samhällsvetenskapliga fakultet, genomfört en studentundersökning. Det huvudsakliga syftet med undersökningen har varit att skapa tidsserier där det går att följa hur fakultetens studenter uppfattar sina studier och sin studiesociala miljö. Ett annat syfte är att identifiera studenterna som grupp, med fokus på exempelvis social bakgrund, ålder och bakomliggande orsaker till att de påbörjat sina studier. 
Genom dessa tidsserier kan man utläsa trender och trendbrott bland gruppen studenter. I 2011 års undersökning framgår bland annat att både antalet studenter med mer än 5 års arbetslivserfarenhet och antalet unga studenter har ökat. Studenterna är generellt mycket nöjda med sin utbildning och många tror sig ha god möjligheter i det kommande yrkeslivet. Data från två grupper ingår i detta dataset: student och masterstudent.

Syfte:

Ta reda på hur studenterna uppfattar sin utbildning och den studiesociala miljön vid Göteborgs universitet
DOI: 10.26180/23305382.v1
title: Understanding contributing factors for serious injury crashes using crash chain analysis, ECIS Report 3 (MUARC Report 345)

description:   
Through sponsorship and support from the Victorian Transport Accident Commission (TAC), the Monash University Accident Research Centre (MUARC) with leading local and international partners established the Enhanced Crash Investigation Study (ECIS).
The ECIS program was designed to provide insight into how serious injury crashes occur, and then, using this information, identify measures that would be effective in preventing occupants of vehicles being seriously injured in the event of a crash.
This report, the third in the ECIS Report series, examines the point(s) in the crash sequence where the influence of each contributing factor is exerted. This report aims to provide a comprehensive understanding of the incidence of individual contributing factors in events leading up to, during, and after serious injury crashes. The findings reported here underpin the analysis of safety countermeasures, which is the subject of <em>ECIS Report 4.</em>
DOI: 10.26180/23305376.v1
title: Speed, crash risk and injury severity, ECIS Report 2 (MUARC Report 344)

description: Through sponsorship and support from the Victorian Transport Accident Commission (TAC), the Monash University Accident Research Centre (MUARC) with leading local and international partners established the Enhanced Crash Investigation Study (ECIS).
The ECIS program was designed to provide insight into how serious injury crashes occur and then using this information, identify measures that would be effective in preventing occupants of vehicles being seriously injured in the event of a crash.
This report is the second in the ECIS Report series. This report examines the role of vehicle speed in crash occurrence and injury severity. The analysis uses the data collected in the ECIS Case Arm and the ECIS Control Arm, as well as detailed crash reconstructions where selected pre-crash inputs, such as travel speed, are modified so that the theoretical impact of these measures on crash outcomes can be demonstrated.
This report seeks to: 

 Document the relationship between the speed limit and travel speed.
 Document the relationship between travel speed and hospitalisation-severity crash risk.
 Document the relationship between travel speed and vehicle speed at impact.
 Document the frequency of pre-crash steering and braking avoidance actions.
 Document the relationship between crash impact speed and injury severity.
 Assess the potential benefits of lower impact speeds on injury severity outcomes.
 Illustrate the potential benefits of reduced travel speed, speed limit compliance, and reduced impact speed on crash and injury severity outcomes using a case series approach.

Addressing these areas of focus will provide a comprehensive examination of the role of vehicle speed and its impact on road safety. It is expected that the insight gained from this analysis will serve as an invaluable input into decisions aimed at eliminating serious injury on the Victorian road transport system.
DOI: 10.26180/23305325.v2
title: Overview and analysis of serious injury crashes – crash types, injury outcomes and contributing factors, ECIS Report 1 (MUARC Report 343)

description: Through sponsorship and support from the Victorian Transport Accident Commission (TAC), the Monash University Accident Research Centre (MUARC) with leading local and international partners established the Enhanced Crash Investigation Study (ECIS).
The ECIS program was designed to provide insight into how crashes occur and then using this information, identify measures that would be effective in preventing occupants of vehicles being seriously injured in the event of a crash.
The findings of the ECIS program are presented over four reports. This report is the first in the series and provides an overview of the key features of ECIS and high-level findings. Focus areas for this report are: 

 Overview of the ECIS program and rationale.
 Description of the ECIS study design and data collection.
 Description of crashes and associated injury severity outcomes.
 Contributing factors for crash occurrence and injury outcomes.
 An assessment of the safety performance of Victoria’s road transport system as it applies to passenger vehicle crashes against an inherently safe road transport system.

The goal in undertaking this research was to identify opportunities to improve road safety in Victoria. It is anticipated that the findings will be of value in the development of future road safety strategies. With the findings presented in a manner consistent with the <em>Safe System approach</em>, the findings can serve as a baseline against which the impact of future actions can be measured.
DOI: 10.3929/ethz-c-000792157
title: Meteorite radioisotope ages reveal late dynamical chaos in the Solar System
DOI: 10.15468/dd.vhjyha
title: Uncertainty in blacklisting potential Pacific plant invaders using species distribution models

description: Records used in [paper](https://doi.org/10.1101/2024.12.11.627501) (dn)
DOI: 10.15156/bio/sh0172555.10fu
title: SH0172555.10FU

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/sh0172556.10fu
title: SH0172556.10FU

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/sh0172557.10fu
title: SH0172557.10FU

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/sh0172558.10fu
title: SH0172558.10FU

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/sh0172559.10fu
title: SH0172559.10FU

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/sh0172560.10fu
title: SH0172560.10FU

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/sh0172561.10fu
title: SH0172561.10FU

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/sh0172562.10fu
title: SH0172562.10FU

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/sh0172563.10fu
title: SH0172563.10FU

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.