cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.11624748
title: Data underlying research paper: Exploring Governance Modes in Open Data Initiatives: Insights from France and Ireland

description: The folder contains the interview questions of the research paper “Exploring Governance Modes in Open Data Initiatives: Insights from France and Ireland” and consists of the interview questions.  



Note about the interview and the interview questions: 




The semi-structured interviews were conducted with (three) experts selected through purposive sampling combined with snowballing approach to gain knowledge from key people who actively worked in the coordination bodies in France and Ireland. In the case of France, the first interviewee was reached following the reading of a blogpost on the governance of open data during the Covid-19 crisis. The first interviewee allowed the identification of a second expert who could complement his knowledge on the governance of the open data in France. In the case of Ireland, the expert was identified through the reading of an academic article that explained in great details the unfolding of the events that led to the Covid-19 open data strategy in Ireland. All the interviewees were approached through email exchange. Interviews took place in August 2022 online through the Microsoft Teams and Webinaire de l’État platforms, each lasting approximately forty-five minutes. 

Acknowledgment:


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author’s view and in no way reflect the European Commission’s opinions. The European Commission is not responsible for any use that may be made of the information it contains.
DOI: 10.15468/dl.2wezmc
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Austria",
 "OccurrenceStatus is Present",
 "TaxonKey is Testudines"
 ]
}

 The dataset includes 939 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011141-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p52h28
title: Occurrence Download

description: A dataset containing 119790 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (DEU.1.40_1, DEU.1.40.1_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 119790 records from 176 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011132-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/81cd0036fa164f95
title: Custom collection of MWR brightness temperature, MWR multiple pointing, MWR single pointing, and microwave radiometer data from Jülich on 4 Feb 2025
DOI: 10.5281/zenodo.14800323
title: Global Portable Security Cabin Market 2025 To 2033

description: Portable Security Cabin Market Size, Trends and Insights By Type, (Standard, Modular, Prefabricated, Portable Container, Others), By Application (Construction Site, Education Institutes, Healthcare, Military & Defense, Residential, Commercial, Others), By End-use Industry (Government, Oil & Gas, Mining, Construction, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Portable Security Cabin Market was valued at USD 2.3 Billion in 2024 and is expected to reach USD 4.6 Billion by 2033, at a CAGR of 8.4% during the forecast period 2024 – 2033.

Portable security cabins are versatile, temporary structures used to provide security personnel with a sheltered, functional space. They are commonly deployed at construction sites, events, parking lots, and other areas requiring temporary security presence.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51925
DOI: 10.5281/zenodo.14800324
title: Global Portable Security Cabin Market 2025 To 2033

description: Portable Security Cabin Market Size, Trends and Insights By Type, (Standard, Modular, Prefabricated, Portable Container, Others), By Application (Construction Site, Education Institutes, Healthcare, Military & Defense, Residential, Commercial, Others), By End-use Industry (Government, Oil & Gas, Mining, Construction, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2024–2033.

Reports Description

Global Portable Security Cabin Market was valued at USD 2.3 Billion in 2024 and is expected to reach USD 4.6 Billion by 2033, at a CAGR of 8.4% during the forecast period 2024 – 2033.

Portable security cabins are versatile, temporary structures used to provide security personnel with a sheltered, functional space. They are commonly deployed at construction sites, events, parking lots, and other areas requiring temporary security presence.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=51925
DOI: 10.15468/dl.zmuny8
title: Occurrence Download

description: A dataset containing 1932 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Turnix sylvaticus dussumier (Temminck, 1828), Turnix tanki Blyth, 1843, Turnix suscitator plumbipes (Hodgson, 1837))"
 ]
}

 The dataset includes 1932 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011143-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44bhkd
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus marsupium"
 ]
}

 The dataset includes 814 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064670-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/rh46ev
title: Lepidium colombianum (Lepidieae; Brassicaceae), a new species from South America

description: This dataset contains the digitized treatments in Plazi based on the original journal article Al-Shehbaz, Ihsan A. (2025): Lepidium colombianum (Lepidieae; Brassicaceae), a new species from South America. Phytotaxa 689 (2): 291-296, DOI: 10.11646/phytotaxa.689.2.13, URL: https://doi.org/10.11646/phytotaxa.689.2.13AbstractLepidium colombianum, a new species form Colombia (Cundinamarca Department), is most closely related to L. bipinnatifidum, from which it is readily distinguished by the caducous sepals, glabrous leaves, entire uppermost leaves, and fruiting pedicels puberulent all around.
DOI: 10.15468/shnztj
title: A new species of Thyreus from northern Cameroon (Hymenoptera: Apidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Engel, Michael S. (2014): A new species of Thyreus from northern Cameroon (Hymenoptera: Apidae). Journal of Melittology 2014 (42): 1-8, DOI: 10.17161/jom.v0i42.4815, URL: https://doi.org/10.17161/jom.v0i42.4815Abstract. A new species of the cleptoparasitic bee genus Thyreus Panzer (Apinae: Melectini) is described and figured from two females captured near Garoua in northern Cameroon. Thyreus garouensis Engel, new species, is distinguished from other African Thyreus with pallid pastel blue pubescence. The species is most similar to T. scotaspis (Vachal), but can be distinguished on the basis of its pattern of coloration/pubescence and form of the mesoscutellum.
DOI: 10.15468/z2bbwv
title: A new species of Diaphorocleidus (Monogenea: Ancyrocephalinae) from the gills of Argonectes robertsi (Characiformes) and new records of dactylogyrids parasitic on fishes from the Xingu River, Amazon Basin, Brazil

description: This dataset contains the digitized treatments in Plazi based on the original journal article Moreira, Juliana, Scholz, Tomáš, Luque, José Luis (2016): A new species of Diaphorocleidus (Monogenea: Ancyrocephalinae) from the gills of Argonectes robertsi (Characiformes) and new records of dactylogyrids parasitic on fishes from the Xingu River, Amazon Basin, Brazil. Zoologia (e 20160022) 33 (4): 1-6, DOI: 10.1590/S1984-4689zool-20160022, URL: http://dx.doi.org/10.1590/s1984-4689zool-20160022
DOI: 10.15468/24t5d2
title: Aloe × engelbrechtii (Asphodelaceae subfam. Alooideae), a new South African nothospecies with A. arborescens and A. hardyi as parents

description: This dataset contains the digitized treatments in Plazi based on the original journal article Smith, Gideon F., Figueiredo, Estrela (2020): Aloe × engelbrechtii (Asphodelaceae subfam. Alooideae), a new South African nothospecies with A. arborescens and A. hardyi as parents. Phytotaxa 464 (3): 252-256, DOI: 10.11646/phytotaxa.464.3.8
DOI: 10.15468/ebm7v7
title: Leaf micromorphology and anatomy in the tribe Aristideae (Poaceae) in Iran and its systematic implications

description: This dataset contains the digitized treatments in Plazi based on the original journal article Maasoumi, Zahra, Pakravan, Maneezheh, Hamzee, Behnam, Zarei, Roghaieh (2023): Leaf micromorphology and anatomy in the tribe Aristideae (Poaceae) in Iran and its systematic implications. Phytotaxa 578 (1): 75-92, DOI: 10.11646/phytotaxa.578.1.4, URL: http://dx.doi.org/10.11646/phytotaxa.578.1.4AbstractThe present study investigated the leaf anatomy of 12 species belonging to the genera Aristida and Stipagrostis of the Aristideae tribe in Iran. Scanning electron microscopy (SEM) and light microscopy (LM) were used to observe the epidermal characteristics and transverse sections of the leaves to assess taxonomic applications of these traits. The main distinguishing traits of the species included: the presence of prickles, macrohairs and microhairs, papillae and type of wax, adaxial ribs, number of bulliform cells, number of sclerenchymatous layers and shape of silica bodies. When constructing the phenogram of Aristideae using WARD’s method and based on the 7 qualitative and 18 quantitative anatomical traits showed four taxonomic-anatomic clades with a cophenetic correlation coefficient of 1.75. Kranz anatomy in S. raddiana differed from the one seen in S. paradisea. The presence of papillae and lack of macrohairs on the leaf epidermis in S. karelinii distinguished it from S. pennata. By present findings the placement of A. coerulescens as a variety of A. adscensionis has not been ascertained. An identification key is providedbased on anatomical traits.The anatomical features of the leaves were proved to be useful for species delimitation and as a supplementary tool for identifying taxa and macromorphological traits.
DOI: 10.15156/bio/sh0177729.10fu
title: SH0177729.10FU

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: 10.15468/dl.kkwtus
title: Occurrence Download

description: A dataset containing 6427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ephemerum serratum"
 ]
}

 The dataset includes 6427 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001606-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0177730.10fu
title: SH0177730.10FU

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/sh0177731.10fu
title: SH0177731.10FU

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/sh0177732.10fu
title: SH0177732.10FU

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/sh0177733.10fu
title: SH0177733.10FU

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/sh0177734.10fu
title: SH0177734.10FU

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/sh0177735.10fu
title: SH0177735.10FU

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/sh0177736.10fu
title: SH0177736.10FU

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: 10.5281/zenodo.18200139
title: Stardust Supplementary Data

description: This pdf contains information about the case studies and the findings of the CosmWasm static analyzer Stardust.
DOI: 10.15156/bio/sh0177737.10fu
title: SH0177737.10FU

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: 10.5281/zenodo.18200138
title: Stardust Supplementary Data

description: This pdf contains information about the case studies and the findings of the CosmWasm static analyzer Stardust.
DOI: 10.15156/bio/sh0177738.10fu
title: SH0177738.10FU

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.