cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11401063
title: Survey Data for Multicriteria Satisfaction Analysis of Cargo Bike Last-Mile Delivery in European Cities

description: SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality. SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages –  including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future.The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility. As part of writing a chapter for the SSH CENTRE book on ‘Strengthening European mobility policy - Governance recommendations from innovative interdisciplinary collaborations’, we elicit the opinions of citizens in urban logistics policymaking through a series of surveys in different European cities. The files attached to this Zenodo webpage are therefore the dataset contains raw survey data from a study utilizing Multicriteria Satisfaction Analysis (MUSA) to evaluate public perceptions of cargo bike last-mile delivery in London, Paris, Rome, Dublin, and Warsaw. The data encompasses over 2,000 responses, detailing participants' satisfaction levels with various aspects of cargo bike delivery services, including CO2 emissions, noise, traffic, safety, and shipping costs. This dataset supports comprehensive analyses of urban logistics policies aimed at sustainable mobility solutions in these specific cities.
DOI: 10.5281/zenodo.11401064
title: Survey Data for Multicriteria Satisfaction Analysis of Cargo Bike Last-Mile Delivery in European Cities

description: SSH CENTRE (Social Sciences and Humanities for Climate, Energy aNd Transport Research Excellence) is a Horizon Europe project, engaging directly with stakeholders across research, policy, and business (including citizens) to strengthen social innovation, SSH-STEM collaboration, transdisciplinary policy advice, inclusive engagement, and SSH communities across Europe, accelerating the EU’s transition to carbon neutrality. SSH CENTRE is based in a range of activities related to Open Science, inclusivity and diversity – especially with regards Southern and Eastern Europe and different career stages –  including: development of novel SSH-STEM collaborations to facilitate the delivery of the EU Green Deal; SSH knowledge brokerage to support regions in transition; and the effective design of strategies for citizen engagement in EU R&I activities. Outputs include action-led agendas and building stakeholder synergies through regular Policy Insight events.This is captured in a high-profile virtual SSH CENTRE generating and sharing best practice for SSH policy advice, overcoming fragmentation to accelerate the EU’s journey to a sustainable future.The documents uploaded here are part of WP2 whereby novel, interdisciplinary teams were provided funding to undertake activities to develop a policy recommendation related to EU Green Deal policy. Each of these policy recommendations, and the activities that inform them, will be written-up as a chapter in an edited book collection. Three books will make up this edited collection - one on climate, one on energy and one on mobility. As part of writing a chapter for the SSH CENTRE book on ‘Strengthening European mobility policy - Governance recommendations from innovative interdisciplinary collaborations’, we elicit the opinions of citizens in urban logistics policymaking through a series of surveys in different European cities. The files attached to this Zenodo webpage are therefore the dataset contains raw survey data from a study utilizing Multicriteria Satisfaction Analysis (MUSA) to evaluate public perceptions of cargo bike last-mile delivery in London, Paris, Rome, Dublin, and Warsaw. The data encompasses over 2,000 responses, detailing participants' satisfaction levels with various aspects of cargo bike delivery services, including CO2 emissions, noise, traffic, safety, and shipping costs. This dataset supports comprehensive analyses of urban logistics policies aimed at sustainable mobility solutions in these specific cities.
DOI: 10.15468/dl.vxlgxf
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Chile",
 "Country is Argentina"
 ]
 },
 "TaxonKey is Prosopis tamarugo Phil."
 ]
}

 The dataset includes 36 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008293-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78ddeg
title: Occurrence Download

description: A dataset containing 167348 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Burseraceae"
 ]
}

 The dataset includes 167348 records from 729 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072162-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ggp6ya
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "TaxonKey is Ocotea argyrophylla Ducke",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 33 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000564-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rpanu0
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Aspilia warmingii Baker",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008293-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h7er9p
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argania spinosa (L.) Skeels"
 ]
}

 The dataset includes 335 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0354779-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j3es2p
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platycheirus angustatus (Zetterstedt, 1843)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0212015-220831081235567/datasets/export for details.
DOI: 10.57724/jci_20151217_dinglac_mbev
title:  DINGLAC: Mass balance, extent and velocity – Hurd & Johnsons glaciers 2015-2016
DOI: 10.15468/dl.tfrc0a
title: Occurrence Download

description: A dataset containing 1797 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Parapiptadenia rigida (Benth.) Brenan"
 ]
}

 The dataset includes 1797 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008293-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxdlky
title: Occurrence Download

description: A dataset containing 1505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spondias purpurea L.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 1505 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000564-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11401109
title: Prismatic Wave Imaging Reveals Details of Highly Steep Structures: Processed 1994 BP benchmark model

description: This zip file contains our processed 1994 BP model, some of the synthetic seismic data, and the Matlab drawing code.

Each part has its own folder and README file, check these files for more information
DOI: 10.5281/zenodo.11401110
title: Prismatic Wave Imaging Reveals Details of Highly Steep Structures: Processed 1994 BP benchmark model

description: This zip file contains our processed 1994 BP model, some of the synthetic seismic data, and the Matlab drawing code.

Each part has its own folder and README file, check these files for more information
DOI: 10.15468/dl.4p5ex4
title: Occurrence Download

description: A dataset listing the 171 species recorded in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Haiti",
 "Country is Dominican Republic"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 171 records were derived from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067028-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ypm58s
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dorcopsulus vanheurni (Thomas, 1922)"
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009980-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l0y9v9
title: Occurrence Download

description: A dataset containing 545117 species occurrences available in GBIF matching the query:
{
 "or" : [
 "DatasetKey is Southern Ocean Continuous Zooplankton Recorder (SO-CPR) Survey",
 "DatasetKey is Squid collection from 1995/96 V4 BROKE",
 "DatasetKey is Squid specimens from the 1991/92 V6 AAMBER2 voyage",
 "DatasetKey is Survey of benthic and other marine invertebrates of Prydz Bay, 1990/91 Voyage 6",
 "DatasetKey is Type Localities for organisms and fossils first described from Antarctica",
 "DatasetKey is Weddell Seal census, Vestfold Hills, Antarctica",
 "DatasetKey is Weddell Seal Sightings, Vestfold Hills, Antarctica",
 "DatasetKey is Whale catches in the Southern Ocean",
 "DatasetKey is Whale log - observations from ANARE voyages",
 "DatasetKey is Whale Observations from the British, Australian and New Zealand Antarctic Research Expedition (BANZARE) voyages 1929-30 and 1930-31",
 "DatasetKey is BCCM/MUCL - (Agro)Industrial Fungi and Yeasts Collection",
 "DatasetKey is Botanical Museum, Copenhagen. Database of type specimens",
 "DatasetKey is Antarctic Plant Database",
 "DatasetKey is BIOLOGICAL SCIENCES DATA",
 "DatasetKey is British Antarctic Survey Argos satellite tracking data",
 "DatasetKey is SOMBASE",
 "DatasetKey is SOMBASE BIOCONSTRUCTORS",
 "DatasetKey is SOMBASE PYCNOGONIDS",
 "DatasetKey is SOUTHERN OCEAN ISOPODA",
 "DatasetKey is CAS Invertebrate Zoology (IZ)"
 ]
}

 The dataset includes 545117 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008692-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7oad4y
title: Occurrence Download

description: A dataset containing 1380 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((86.71573 12.68629,143.28427 12.68629,143.28427 35.31371,86.71573 35.31371,86.71573 12.68629))",
 "HasCoordinate is true",
 "TaxonKey is Schefflera octophylla (Lour.) Harms",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1380 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000564-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mv7c7j
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 {
 "or" : [
 "Month is March",
 "Month is April"
 ]
 },
 {
 "or" : [
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "PublishingOrg is 667644b9-7b93-4892-80c7-c4271735c515"
 ]
 },
 "TaxonKey is Amazona rhodocorytha (Salvadori, 1890)",
 "Year 1000-2020"
 ]
}

 The dataset's 1 records were derived from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073929-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jbvhju
title: Occurrence Download

description: A dataset containing 3144 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 3144 records from 148 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008692-180412121330197/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zamubp
title: Occurrence Download

description: A dataset containing 2774 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera tigris (Linnaeus, 1758)"
 ]
}

 The dataset includes 2774 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019366-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nkhfwq
title: Occurrence Download

description: A dataset containing 168623 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tanacetum vulgare L.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 168623 records from 555 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009544-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0189503.10fu
title: SH0189503.10FU

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/sh0189504.10fu
title: SH0189504.10FU

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/sh0189505.10fu
title: SH0189505.10FU

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/sh0189506.10fu
title: SH0189506.10FU

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/sh0189507.10fu
title: SH0189507.10FU

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/sh0189508.10fu
title: SH0189508.10FU

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/sh0189509.10fu
title: SH0189509.10FU

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.