cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.gg4b33
title: Occurrence Download

description: A dataset containing 253 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acacia acatlensis Benth.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 253 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024940-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.873yja
title: Occurrence Download

description: A dataset containing 2502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Geometry POLYGON((-5.7486 50.08392,-5.7074 49.93835,-5.25146 49.85596,-5.07843 49.85596,-1.42273 50.49316,-0.06592 50.64423,0.2829 50.6662,0.99976 50.87082,1.47766 51.13861,1.53809 51.45996,1.2442 51.21826,1.07117 51.16058,0.81299 51.07544,0.21973 50.87219,-0.18265 50.89966,-0.59875 50.88867,-1.07666 50.91064,-1.53397 50.97519,-1.71661 50.79597,-2.09564 50.76233,-2.48566 50.78156,-2.89215 50.85297,-3.52112 50.74036,-3.76968 50.4245,-4.02649 50.56183,-4.67468 50.46295,-5.7486 50.08392))",
 "OccurrenceStatus is Present",
 "TaxonKey is Nemertea"
 ]
}

 The dataset includes 2502 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0202227-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe6v72
title: Occurrence Download

description: A dataset containing 35870814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Material sample",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 35870814 records from 1077 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006978-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn3xfz
title: Occurrence Download

description: A dataset containing 234462 species occurrences available in GBIF matching the query:
{
 "or" : [
 "EstablishmentMeans is INTRODUCED",
 "EstablishmentMeans is NATURALISED",
 "EstablishmentMeans is INVASIVE"
 ]
}

 The dataset includes 234462 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026716-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gcsj49
title: Occurrence Download

description: A dataset containing 33008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mimosa pigra L."
 ]
}

 The dataset includes 33008 records from 342 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0223629-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mclbqu
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Espeletia discoidea Cuatrec."
 ]
}

 The dataset includes 74 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026717-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hliine
title: Occurrence Download

description: A dataset containing 4958 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleutherodactylus johnstonei Barbour, 1914"
 ]
}

 The dataset includes 4958 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026719-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yer3zz
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lygodium microphyllum (Cav.) R.Br.",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2227 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0207366-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lzzatn
title: Occurrence Download

description: A dataset containing 247701 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex nigra (L.) Reichard",
 "HasGeospatialIssue is FALSE",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 247701 records from 328 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026719-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3092230/2558675
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092231/2558676
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092232/2558677
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092233/2558678
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092234/2558679
title: Data for EMSL Project 60201 from April 2024
DOI: 10.15468/dl.76dzt9
title: Occurrence Download

description: A dataset containing 13750 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Estudios bióticos: Plantas, anfibios, mamíferos, aves y edafofauna epígea (coleópteros y arácnidos), en el complejo de páramo Los Nevados"
 ]
}

 The dataset includes 13750 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006316-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25582/data.2024-04.3092235/2558680
title: Data for EMSL Project 60201 from April 2024
DOI: 10.25582/data.2024-04.3092236/2558681
title: Data for EMSL Project 60201 from April 2024
DOI: 10.18712/nsd-nsd3213-v1
title: Police Citizen Survey 2016

description: The Police Citizen Survey aims to assess public perceptions of the police in Norway. The survey evaluates public trust in the police, feelings of safety, concerns about crime, and various aspects of interactions between the police and citizens. The results serve as a knowledge base for the development and management of the police and also as a foundation for evaluating the police's performance.

The survey was conducted by Ipsos on behalf of the Norwegian Police Directorate. It was carried out via telephone from August 26 to October 6, 2016, by Ipsos' telephone division. The target group for the survey is the population of Norway aged 18 years and older. A total of 5 472 interviews were conducted in 2017. The sample was drawn from Ipsos' population database, provided by Bisnode Matchit.

The 2016 survey includes questions on the following topics:
•Trust in the police
•Perceptions of the police
•Perceived safety
•Concerns about being exposed to criminal incidents
•Impressions of the police's handling of incidents
•Contact with the police, including assessments of these interactions
•Perceptions of police presence and accessibility
•Proportion of individuals who have experienced crime in the past year
•Willingness to report criminal incidents
DOI: 10.5281/zenodo.15129752
title: Floating marine macro litter DOORS cruise 3, 01-20 June 2024

description: The  datasest contains floating marine macro litter (> 2.5 cm)  data obesrved during  R/V Mare Nigrum cruise #3, in  33 transects located in the Bulgarian, Turkish and Georgian  Black Sea waters, 1-20 June, 2024 in the framework H2020 DOORS Project. The file contains information for the densities of floating marine macro litter (expressed in number of items. km-2) along survey transects, locations of transects (middle of transect) and date of the observation. The FML densities were determined in compliance with MSFD protocol for visual observations based on fixed-width strip transect method.
DOI: 10.5281/zenodo.14050202
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries. See also the README.pdf.
DOI: 10.5281/zenodo.14050203
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries.

 

See also the README.pdf
DOI: 10.5281/zenodo.14512828
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries.

 

See also the README.pdf
DOI: 10.5281/zenodo.14512915
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries.

 

See also the README.pdf
DOI: 10.5281/zenodo.14859103
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries. See also the README.pdf.
DOI: 10.5281/zenodo.14864241
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries. See also the README.pdf.
DOI: 10.5281/zenodo.15148335
title: Systemic Failure of European Fisheries Management

description: Supporting data, R scripts, and resulting figures for Froese et al. (submitted): Systemic Failure of European Fisheries Management

 

Authors: Rainer Froese 1*, Noa Steiner 2, Eva Papaioannou 1, Liam MacNeil 1, Thorsten Reusch 1, Marco Scotti 1,3  

Affiliations:  

1 GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstraße 1-3, 24148 Kiel, Germany 

2 Institute of Agricultural Economics, University of Kiel, Olshausenstraße 40, 24118 Kiel, Germany

3 Institute of Biosciences and Bioresources, National Research Council of Italy, Via Madonna del Piano 10, 50019 Sesto Fiorentino (Firenze), Italy

*Corresponding author. Email: rfroese@geomar.de 
description: If downloaded for replication, insert each folder (data, script, figures) into a single directory. The scripts are "self-contained", so if within one directory, all figures are replicable with associated data without needing to alter local file paths.

 

For TableS3_PDFs, this contains relevant pdf files underpinning Table S3 in the manuscript: Presents examples of fisher associations, regional advisory councils, national advisors, members of the EU parliament, or governments asking directly or indirectly for higher total allowable catch than advised by the International Council for the Exploration of the Seas (ICES), proposed by the European Commission, or fixed by the EU Council of Ministers in charge of fisheries. See also the README.pdf.
DOI: 10.13145/bacdive120236.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive120236.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0111848.10fu
title: SH0111848.10FU

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/sh0111849.10fu
title: SH0111849.10FU

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: 10.13145/bacdive120237.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive120237.20251217.10
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0111850.10fu
title: SH0111850.10FU

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: 10.13145/bacdive120238.20241212.9.2
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.