cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.c4te2z
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Coleoptera collection of National Museum of Nature and Science",
 "Country is Croatia"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000130-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3qgf32
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Natural History Museum of Utah, Garrett Herbarium",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000131-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14549824
title: T1Drink: Education gaps and safety issues concerning alcohol consumption in young adults with type 1 diabetes mellitus – A JENIOUS-driven international Initiative report

description: Dataset from ISPAD-CwD project "T1Drink: Education gaps and safety issues concerning alcohol consumption in young adults with type 1 diabetes mellitus"
DOI: 10.5281/zenodo.14549825
title: T1Drink: Education gaps and safety issues concerning alcohol consumption in young adults with type 1 diabetes mellitus – A JENIOUS-driven international Initiative report

description: Dataset from ISPAD-CwD project "T1Drink: Education gaps and safety issues concerning alcohol consumption in young adults with type 1 diabetes mellitus"
DOI: 10.5281/zenodo.14922402
title: T1Drink: Education gaps and safety issues concerning alcohol consumption in young adults with type 1 diabetes mellitus – A JENIOUS-driven international Initiative report

description: Dataset from ISPAD-CwD project "T1Drink: Education gaps and safety issues concerning alcohol consumption in young adults with type 1 diabetes mellitus"
DOI: 10.15468/dl.vsybj7
title: Occurrence Download

description: A dataset containing 3721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Material sample, Material citation, Fossil, Specimen, Living Specimen, Occurrence evidence, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyanolanius madagascarinus (Linnaeus, 1766)"
 ]
}

 The dataset includes 3721 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000132-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qt2dq9
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Bryophyte collection of the United Herbaria of the University and ETH Zurich (Z+ZT)",
 "Country is Croatia"
 ]
}

 The dataset includes 26 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000135-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ej464g
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Tennessee Herbarium",
 "Country is Croatia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000134-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eamtxa
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is The Myriapoda & Onychophora collection (MY) of the Muséum national d'Histoire naturelle (MNHN - Paris)",
 "Country is Croatia"
 ]
}

 The dataset includes 31 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000128-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14608566
title: High-resolution UAV Orthomosaic and DSM Dataset - Aklavik, NWT, CA 10 cm GSD [2022, 2024]

description: This dataset comprises a high-resolution (10 cm) Orthomosaic and Digital Surface Model (DSM) generated from aerial imagery captured by a DJI Mini 2 drone during two acquisition campaigns in September 2022 (20220919 - 20220921) and March 2024 (20240322 - 20240324). The data covers an area of 2.37 km² and focuses on the town/village itself, providing detailed elevation and visual information about the built environment and surrounding terrain.

The 2024 dataset was aligned to the 2022 dataset using the Iterative Closest Point (ICP) registration algorithm, achieving a median vertical offset of 8.24 cm. This alignment ensures consistency and facilitates change detection analysis between the two acquisition periods. The processing parameters used in Agisoft Metashape are detailed in the attached reports.

This dataset was acquired as part of the UndercoverEisAgenten project, funded by the German Federal Ministry of Education and Research in collaboration with students from Moose Kerr School in Aklavik, NWT, Canada.
DOI: 10.15468/dl.2n5tsw
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thalictrum minus L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 29 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000129-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14608565
title: High-resolution UAV Orthomosaic and DSM Dataset - Aklavik, NWT, CA 10 cm GSD [2022, 2024]

description: This dataset comprises a high-resolution (10 cm) Orthomosaic and Digital Surface Model (DSM) generated from aerial imagery captured by a DJI Mini 2 drone during two acquisition campaigns in September 2022 (20220919 - 20220921) and March 2024 (20240322 - 20240324). The data covers an area of 2.37 km² and focuses on the town/village itself, providing detailed elevation and visual information about the built environment and surrounding terrain.

The 2024 dataset was aligned to the 2022 dataset using the Iterative Closest Point (ICP) registration algorithm, achieving a median vertical offset of 8.24 cm. This alignment ensures consistency and facilitates change detection analysis between the two acquisition periods. The processing parameters used in Agisoft Metashape are detailed in the attached reports.

This dataset was acquired as part of the UndercoverEisAgenten project, funded by the German Federal Ministry of Education and Research in collaboration with students from Moose Kerr School in Aklavik, NWT, Canada.
DOI: 10.15468/dl.nruzkc
title: Occurrence Download

description: A dataset containing 298 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is 1991,2010",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen",
 "TaxonKey is Artocarpus altilis (Parkinson) Fosberg"
 ]
}

 The dataset includes 298 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000136-250225085111116/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14917254
title: FREQ-NESS Reveals the Dynamic Reconfiguration of Frequency-Resolved Brain Networks During Auditory Stimulation - Mattia Rosso and Leonardo Bonetti - Dataset
DOI: 10.5281/zenodo.14917255
title: FREQ-NESS Reveals the Dynamic Reconfiguration of Frequency-Resolved Brain Networks During Auditory Stimulation - Mattia Rosso and Leonardo Bonetti - Dataset
DOI: 10.5281/zenodo.14921988
title: lfg

description: This dataset contains audio recordings of snap sounds produced by three Brazilian Alpheus snapping shrimp species (A. angulosus, A. carlae, and A. estuariensis). The recordings were obtained in a controlled laboratory setting. These recordings were used to assess interspecific differences in snap sound characteristics and to evaluate correlations between sound parameters and shrimp morphometric measurements.
DOI: 10.5281/zenodo.14921989
title: lfg

description: This dataset contains audio recordings of snap sounds produced by three Brazilian Alpheus snapping shrimp species (A. angulosus, A. carlae, and A. estuariensis). The recordings were obtained in a controlled laboratory setting. These recordings were used to assess interspecific differences in snap sound characteristics and to evaluate correlations between sound parameters and shrimp morphometric measurements.
DOI: 10.5281/zenodo.14922445
title: lfg
DOI: 10.5281/zenodo.10370391
title: Update of the Xylella spp. host plant database

description: Following a request from the European Commission, in 2018 EFSA released a renovated database of host plant species of Xylella spp. (including both species X. fastidiosa and X. taiwanensis) together with a scientific report (EFSA, 2018). EFSA was tasked to maintain and update this database periodically. The mandate now covers the period 2021-2026 and EFSA is requested to release an update of the database twice per year.
In December 2023 EFSA released the ninth update of the Xylella spp. host plant database (VERSION 9) with information retrieved from literature search up to June 2023 and recent Europhyt outbreak notifications (EFSA, 2023). The protocol applied for the extensive literature review, data collection and reporting, as well as results and lists of host plants are described in detail in the related scientific report (EFSA, 2023).
The overall number of Xylella spp. host plants determined with at least two different detection methods or positive with one method (between: sequencing, pure culture isolation) reaches now 439 plant species, 200 genera and 69 families (category A – see section 2.4.2 of EFSA (2023)). Such numbers rise to 696 plant species, 307 genera and 88 families if considered regardless of the detection method applied (category E, see section 2.4.2 of EFSA (2023)).
The Excel files here attached represent the VERSION 9 of the Xylella spp. host plants database. For a detailed description of the information included in the database, please consult the related scientific report (EFSA, 2023).
The Excel file "Xylella spp. host plants database – VERSION 9" contains several sheets: the LEGENDA (with extensive description of each table), the full detailed raw data of the Xylella spp. host plant database (sheet "observation") and several examples of data extraction.
Additional Excel files contain the lists of host plant species of X. fastidiosa (subsp. unknown (i.e. not reported), fastidiosa, multiplex, pauca, morus, sandyi, tashke, fastidiosa/sandyi) and X. taiwanensis infected naturally, artificially and in not specified conditions, and according to different categories (A, B, C, D, E – see section 2.4.2 of EFSA (2023)). The Excel file "new_host_plant_species_v9" contain the list of new host plant species added to the database in this new update. 
 
Question number: EFSA-Q-2022-00815
Output number: EN-8478
Contacts: plants@efsa.europa.eu
 
Bibliography:
EFSA (European Food Safety Authority), 2018. Scientific report on the update of the Xylella spp. host plant database. EFSA Journal 2018;16(9):5408, 87 pp. https://doi.org/10.2903/j.efsa.2018.5408 
EFSA (European Food Safety Authority), Gibin, D., Gutierrez Linares, A., Fasanelli, E., Pasinato, L., & Delbianco, A. (2023). Update of the Xylella spp. host plant database – systematic literature search up to 30 June 2023. EFSA Journal, 21(12), e8477. https://doi.org/10.2903/j.efsa.2023.8477
description: EU; xlsx; plants@efsa.europa.eu
DOI: 10.5281/zenodo.12704108
title: Update of the Xylella spp. host plant database

description: Following a request from the European Commission, in 2018 EFSA released a renovated database of host plant species of Xylella spp. (including both species X. fastidiosa and X. taiwanensis) together with a scientific report (EFSA, 2018). EFSA was tasked to maintain and update this database periodically. The mandate now covers the period 2021-2026 and EFSA is requested to release an update of the database twice per year.

 In July 2024 EFSA released the tenth update of the Xylella spp. host plant database (VERSION 10) with information retrieved from literature search up to December 2023 and recent Europhyt outbreak notifications (EFSA, 2024). The protocol applied for the extensive literature review, data collection and reporting, as well as results and lists of host plants are described in detail in the related scientific report (EFSA, 2024).

The overall number of Xylella spp. host plants determined with at least two different detection methods or positive with one method (between: sequencing, pure culture isolation) reaches now 451 plant species, 204 genera and 70 families (category A – see section 2.4.2 of EFSA (2024)). Such numbers rise to 712 plant species, 312 genera and 89 families if considered regardless of the detection method applied (category E, see section 2.4.2 of EFSA (2024)).

The Excel files here attached represent the VERSION 10 of the Xylella spp. host plants database. For a detailed description of the information included in the database, please consult the related scientific report (EFSA, 2024).

The Excel file “Xylella spp. host plants database – VERSION 10” contains several sheets: the LEGENDA (with extensive description of each table), the full detailed raw data of the Xylella spp. host plant database (sheet “observation”) and several examples of data extraction.

Additional Excel files contain the lists of host plant species of X. fastidiosa (subsp. unknown (i.e. not reported), fastidiosa, multiplex, pauca, morus, sandyi, tashke, fastidiosa/sandyi) and X. taiwanensis infected naturally, artificially and in not specified conditions, and according to different categories (A, B, C, D, E – see section 2.4.2 of EFSA (2024)). The Excel file “new_host_plant_species_v10” contain the list of new host plant species added to the database in this new update. 

Question number: EFSA-Q-2023-00889

Output number: EN-8899

Contacts: plants@efsa.europa.eu

Bibliography:

EFSA (European Food Safety Authority), 2018. Scientific report on the update of the Xylella spp. host plant database. EFSA Journal 2018;16(9):5408, 87 pp. https://doi.org/10.2903/j.efsa.2018.5408

EFSA (European Food Safety Authority), Cavalieri, V., Fasanelli, E., Gibin, D., Gutierrez Linares, A., La Notte, P., Pasinato, L., & Delbianco, A. (2024). Update of the Xylella spp. host plant database – Systematic literature search up to 31 December 2023. EFSA Journal, 22(7), e8898. https://doi.org/10.2903/j.efsa.2024.8898
description: EU; xlsx; plants@efsa.europa.eu
DOI: 10.5281/zenodo.1339344
title: Update Of The Xylella Spp. Host Plant Database

description: Following a request from the European Commission, EFSA periodically updates the database on the host plants of <em>Xylella </em>spp. While previous editions of the database (2015 and 2016) dealt with the species <em>X. fastidiosa </em>only, the new updated database and the related scientific report (EFSA, 2018) addresses the whole genus <em>Xylella</em>, including therefore both species <em>X. fastidiosa </em>and <em>X. taiwanensis</em>.

The information on host plants of <em>Xylella</em> spp. was retrieved from scientific literature up to November 2017 and from Europhyt notifications up to May 2018. The applied protocol for the extensive literature review, data collection and reporting are described in detail in the scientific report.

The current database includes 563 plant species reported infected by <em>Xylella </em>spp., of which for 312 plant species the infection was determined with at least two different detection methods. These species cover 264 genera in 82 botanical families (152 genera in 61 botanical families when considering only records with at least two different detection methods). Information on tolerant and resistant response of plant varieties to <em>Xylell</em>a spp. is also included.

This updated database of <em>Xylella</em> spp. host plants provides a key tool for risk management, risk assessment and scientific research on this polyphagous bacterial plant pathogen.

The Excel File contains several sheets: the LEGENDA (with extensive description of each table), the full detailed raw data of the <em>Xylella</em> spp. host plant database (sheet “observation”), the list of host plant species, genera and families (sheets “host_species_evaluated”, “host_genus_evaluated” and “host_family_evaluated”), and examples of data extraction (tables 7 to 14, figure 6, Appendices A to D) that are included in the scientific report.
description: alpha@efsa.europa.eu
DOI: 10.5281/zenodo.14872055
title: Update of the Xylella spp. host plant database

description: Following a request from the European Commission, in 2018 EFSA released a renovated database of host plant species of Xylella spp. (including both species X. fastidiosa and X. taiwanensis) together with a scientific report (EFSA, 2018). EFSA was tasked to maintain and update this database periodically. The mandate now covers the period 2021-2026 and EFSA is requested to release an update of the database twice per year.

In February 2025 EFSA released the eleventh update of the Xylella spp. host plant database (VERSION 11) with information retrieved from literature search up to June 2024 and recent Europhyt outbreak notifications (EFSA, 2025). The protocol applied for the extensive literature review, data collection and reporting, as well as results and lists of host plants are described in detail in the related scientific report (EFSA, 2025).

The overall number of Xylella spp. host plants determined with at least two different detection methods or positive with one method (between: sequencing, pure culture isolation) reaches now 452 plant species, 204 genera and 70 families (category A – see section 2.4.2 of EFSA (2025)). Such numbers rise to 713 plant species, 312 genera and 89 families if considered regardless of the detection method applied (category E, see section 2.4.2 of EFSA (2025)).

The Excel files here attached represent the VERSION 11 of the Xylella spp. host plants database. For a detailed description of the information included in the database, please consult the related scientific report (EFSA, 2025).

The Excel file “Xylella spp. host plants database – VERSION 11” contains several sheets: the LEGENDA (with extensive description of each table), the full detailed raw data of the Xylella spp. host plant database (sheet “observation”) and several examples of data extraction.

Additional Excel files contain the lists of host plant species of X. fastidiosa (subsp. unknown (i.e. not reported), fastidiosa, multiplex, pauca, morus, sandyi, tashke, fastidiosa/sandyi) and X. taiwanensis infected naturally, artificially and in not specified conditions, and according to different categories (A, B, C, D, E – see section 2.4.2 of EFSA (2025)). The Excel file “new_host_plant_species_v11” contain the list of new host plant species added to the database in this new update.

Question number: EFSA-Q-2023-00891

Output number: EN-9242

Contacts: plants@efsa.europa.eu

Bibliography:

EFSA (European Food Safety Authority). (2018). Scientific report on the update of the Xylella spp. host plant database. EFSA Journal 2018, 16(9), 5408, 87 pp. https://doi.org/10.2903/j.efsa.2018.5408 

EFSA (European Food Safety Authority), Cavalieri, V., Fasanelli, E., Furnari, G., Gibin, D., Gutierrez Linares, A., La Notte, P., Pasinato, L., Stancanelli, G., & Delbianco, A. (2025). Update of the Xylella spp. host plant database – Systematic literature search up to 30 June 2024. EFSA Journal, 23(2), e9241. https://doi.org/10.2903/j.efsa.2025.9241
description: EU; xlsx; plants@efsa.europa.eu
DOI: 10.5281/zenodo.2536025
title: Update of the Xylella spp. host plant database

description: Following a request from the European Commission, EFSA periodically updates the database on the host plants of <em>Xylella </em><em>spp.</em> While previous editions of the database (2015 and 2016) dealt with the species <em>X. fastidiosa </em>only, the new updated database and the related scientific report (EFSA (European Food Safety Authority), 2018. Scientific report on the update of the <em>Xylella</em> spp. host plant database. EFSA Journal 2018;16(9):5408, 87 pp. https://doi.org/10.2903/j.efsa.2018.5408) addresses the whole genus <em>Xylella</em>, including therefore both species <em>X. fastidiosa </em>and <em>X. taiwanensis</em>.

The information on host plants of <em>Xylella</em> spp. was retrieved from scientific literature up to November 2017 and from Europhyt notifications up to May 2018. The applied protocol for the extensive literature review, data collection and reporting are described in detail in the scientific report.

The current database includes 561 plant species reported infected by <em>Xylella </em>spp., of which for 312 plant species the infection was determined with at least two different detection methods. These species cover 264 genera in 82 botanical families (152 genera in 61 botanical families when considering only records with at least two different detection methods). Information on tolerant and resistant response of plant varieties to <em>Xylell</em>a spp. is also included.

This updated database of <em>Xylella</em> spp. host plants wishes to provide a key tool for risk management, risk assessment and scientific research on this polyphagous bacterial plant pathogen.

The Excel File contains several sheets: the LEGENDA (with extensive description of each table), the full detailed raw data of the <em>Xylella</em> spp. host plant database (sheet “observation”), the list of host plant species, genera and families (sheet “host_species_evaluated”, “host_genus_evaluated” and “host_family_evaluated”), and examples of data extraction (tables 7 to 14, figure 6, Appendices A to D) that are included in the scientific report.

This Version 2, published on 9 January 2019, contains some corrected data compared to the previous version of the Excel file. Geographical coordinates of some records have been adjusted and one additional record belonging to RefID1787 has been added. Moreover, two plant species (<em>Coffea liberica</em> var. <em>dewevrei</em> and <em>Coffea arabica</em> x <em>C. liberica</em> var. <em>dewevrei</em>) were erroneously registered twice in the controlled terminology (and consequently double counted in the previous Excel file).  

<em>Bibliography:</em>

EFSA (European Food Safety Authority), 2018. Scientific report on the update of the <em>Xylella</em> spp. host plant database. EFSA Journal 2018;16(9):5408, 87 pp. https://doi.org/10.2903/j.efsa.2018.5408
description: alpha@efsa.europa.eu