cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0094344.10fu
title: SH0094344.10FU

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/bacdive102265.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102265.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0094345.10fu
title: SH0094345.10FU

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/bacdive102266.20230509.8.1
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive102266.20251217.10
title: Arthrobacter sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0094346.10fu
title: SH0094346.10FU

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.sra2vv
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Meriones libycus Lichtenstein, 1823)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((52.95 6.716667, -20.38333 6.716667, -20.38333 49.03333, 52.95 49.03333, 52.95 6.716667))"
 ]
}

 The dataset includes 865 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012927-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25403/upresearchdata.28574498
title: Investigation of the sudden unexpected deaths (SUDs) during COVID-19 pandemic focusing on SARS-CoV-2-positive patients

description: The study included all the deceased participant’s demographics, case history, and SARS-CoV-2 testing results that were entered into an Excel sheet and analyzed using STATA and EpiInfo. Deceased participants were given a unique study identification code. The variables were grouped and presented as frequencies and percentages, with (OR) values comparing the Delta wave period and the Omicron wave period as descriptive statistics. The Odds ratio (OR) of testing positive for SARS-CoV-2 during the two waves associated with sudden and unexpected death as the outcome was calculated using EpiInfo (version 7.2.0.1) Software using Fisher’s exact test. The odds ratios of each variable and the p-value for statistical significance were determined.
DOI: 10.25403/upresearchdata.28574498.v1
title: Investigation of the sudden unexpected deaths (SUDs) during COVID-19 pandemic focusing on SARS-CoV-2-positive patients

description: The study included all the deceased participant’s demographics, case history, and SARS-CoV-2 testing results that were entered into an Excel sheet and analyzed using STATA and EpiInfo. Deceased participants were given a unique study identification code. The variables were grouped and presented as frequencies and percentages, with (OR) values comparing the Delta wave period and the Omicron wave period as descriptive statistics. The Odds ratio (OR) of testing positive for SARS-CoV-2 during the two waves associated with sudden and unexpected death as the outcome was calculated using EpiInfo (version 7.2.0.1) Software using Fisher’s exact test. The odds ratios of each variable and the p-value for statistical significance were determined.
DOI: 10.60797/irj.2025.153.107.2
title: Основные таксационные показатели искусственных сосновых насаждений, созданных на дражных отвалах в Березовском лесничестве

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.15468/dl.ac2sjy
title: Occurrence Download

description: A dataset containing 2293 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drosophila melanogaster Meigen, 1830",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2293 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012928-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6d4nxm
title: Occurrence Download

description: A dataset containing 2353083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2022"
 ]
}

 The dataset includes 2353083 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012908-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60797/irj.2025.153.116.4
title: Технико-эксплуатационные характеристики судна m/v "Zaliv Amurskiy"

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.116.5
title: Время проведения ремонтных операций

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.60797/irj.2025.153.116.6
title: Данные по общим расходам судовладельца на ремонт

description: Международный научно-исследовательский журнал, Выпуск 3 (153) 2025
DOI: 10.5281/zenodo.15039736
title: Data used in manuscript 'Towards an integrated inventory of anthropogenic emissions for China' (submitted to Geoscientific Model Development journal)

description: The original data for MEIC is downloaded from http://meicmodel.org.cn/?page_id=1772&lang=en

The original data for CAMs is downloaded from https://eccad.sedoo.fr/
DOI: 10.5281/zenodo.15039737
title: Data used in manuscript 'Towards an integrated inventory of anthropogenic emissions for China' (submitted to Geoscientific Model Development journal)

description: The original data for MEIC is downloaded from http://meicmodel.org.cn/?page_id=1772&lang=en

The original data for CAMs is downloaded from https://eccad.sedoo.fr/
DOI: 10.15468/dl.8czbve
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Lepus sinensis Gray, 1832"
 ]
}

 The dataset includes 66 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012929-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4wvxn9
title: Occurrence Download

description: A dataset containing 72326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lyrurus tetrix (Linnaeus, 1758), Osmoderma eremita (Scopoli, 1763), Tetrao tetrix Linnaeus, 1758)",
 "Year is not null",
 "Year is one of (2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 44.95782311925129",
 "DecimalLatitude is less than or equal to 58.30331634439415",
 "DecimalLongitude is greater than or equal to -10.001896207643075",
 "DecimalLongitude is less than or equal to 30.31691447027875",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 72326 records from 196 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012917-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gp2zza
title: Occurrence Download

description: A dataset containing 238474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 238474 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012911-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ar5fbr
title: Occurrence Download

description: A dataset containing 238474 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is India",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 238474 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012922-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qcx938
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Meriones libycus Lichtenstein, 1823)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-20.383333333 6.716666666,52.95 6.716666666,52.95 49.033333333,-20.383333333 49.033333333,-20.383333333 6.716666666))"
 ]
}

 The dataset includes 865 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012932-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.muvsuv
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Polistes chinensis (Fabricius, 1793)"
 ]
}

 The dataset includes 177 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012931-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15040068
title: Towards a taxonomy of Business Models for Data Intermediaries

description: Background: Data-driven business models (DDBMs) highlight the increasing importance of data as a key resource, raising concerns about power imbalances and data ethics. The EU’s Data Governance Act introduces data intermediaries to foster trust and promote fair data ecosystems.

Aim: This study explores the business models of data intermediaries, which remain largely unexamined despite their role in facilitating access, exchange, and control of personal data.

Method: Using Nickerson’s taxonomy methodology and the Al-Debei business model ontological structure, a comprehensive taxonomy of data intermediary business models is developed. Hierarchical clustering is then applied to identify distinct archetypes.

Results: A taxonomy of business models for data intermediaries is developed. Eight types of data intermediary business models emerge, including interorganizational data-sharing platforms, data subject control providers, and software providers.

Conclusion: This study provides a structured understanding of data intermediary business models, contributing to literature on data intermediaries and DDBMs.

Dataset: This dataset contains:



A summary of the 107 cases analyzed in this research.

An explanation of how the researchers mapped the dimensions and characteristics from the taxonomy onto these cases.

Definitions of the dimensions and characteristics in the taxonomy.

A cross-table analysis showing how frequently the dimensions and characteristics appear in the eight identified archetypes.
DOI: 10.15468/dl.3uqqjn
title: Occurrence Download

description: A dataset containing 865 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Meriones libycus Lichtenstein, 1823)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-20.383333333 6.716666666,52.95 6.716666666,52.95 49.033333333,-20.383333333 49.033333333,-20.383333333 6.716666666))"
 ]
}

 The dataset includes 865 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012935-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.27bfz7
title: Occurrence Download

description: A dataset containing 7445 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lactarius indigo (Schwein.) Fr."
 ]
}

 The dataset includes 7445 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012934-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nseu27
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Gigantochloa Kurz ex Munro",
 "Year 1000-2025"
 ]
}

 The dataset includes 50 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012936-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f6jppb
title: Occurrence Download

description: A dataset containing 5113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dynastes tityus (Linnaeus, 1763)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5113 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012937-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb24tn
title: Occurrence Download

description: A dataset containing 42776 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is alien_plant_species_ro"
 ]
}

 The dataset includes 42776 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012938-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bt87z5
title: Occurrence Download

description: A dataset containing 11301 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "TaxonKey is Myrmoderus squamosus (Pelzeln, 1868)",
 "Year 1000-2024"
 ]
}

 The dataset includes 11301 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012940-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9zupfg
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong, Macao)",
 "TaxonKey is Melocanna Trin.",
 "Year 1000-2025"
 ]
}

 The dataset includes 23 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012939-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/2716b49f-b44c-400a-a873-eea276b081f6.v1
title: Noise Annoyance Ratings for Airborne Wind Energy Systems: Data from a Controlled Listening Experiment

description: This dataset was collected during a listening experiment involving 75 participants at the Psychoacoustic Listening Laboratory (PALILA) of Delft University of Technology. The study assessed noise annoyance caused by airborne wind energy systems (AWESs). Participants evaluated their annoyance levels using the ICBEN scales in response to nine recordings derived from in-field measurements of two fixed-wing and one soft-wing ground-gen AWES.In addition to annoyance ratings, participants provided information on their hearing ability, hearing-related incidents (e.g., ear diseases, accidents, or exposure to loud work environments), noise sensitivity, familiarity with AWE, and demographic characteristics. The questionnaire employed a combination of closed and open questions to ensure a comprehensive dataset.Data collection occurred between June and September 2023 as part of Helena Schmidt's PhD research within the Wind Energy Section of Delft University of Technology. This dataset is publicly available as supplementary material for publications and the PhD thesis and is intended to support further research by the scientific community.The project was funded by a grant from the Dutch Research Council (NWO) [grant number 17628] and the "Listen to the Future" project [project number 20247] under the Veni 2022 program (Domain Applied and Engineering Sciences).
DOI: 10.4121/2716b49f-b44c-400a-a873-eea276b081f6
title: Noise Annoyance Ratings for Airborne Wind Energy Systems: Data from a Controlled Listening Experiment

description: This dataset was collected during a listening experiment involving 75 participants at the Psychoacoustic Listening Laboratory (PALILA) of Delft University of Technology. The study assessed noise annoyance caused by airborne wind energy systems (AWESs). Participants evaluated their annoyance levels using the ICBEN scales in response to nine recordings derived from in-field measurements of two fixed-wing and one soft-wing ground-gen AWES.In addition to annoyance ratings, participants provided information on their hearing ability, hearing-related incidents (e.g., ear diseases, accidents, or exposure to loud work environments), noise sensitivity, familiarity with AWE, and demographic characteristics. The questionnaire employed a combination of closed and open questions to ensure a comprehensive dataset.Data collection occurred between June and September 2023 as part of Helena Schmidt's PhD research within the Wind Energy Section of Delft University of Technology. This dataset is publicly available as supplementary material for publications and the PhD thesis and is intended to support further research by the scientific community.The project was funded by a grant from the Dutch Research Council (NWO) [grant number 17628] and the "Listen to the Future" project [project number 20247] under the Veni 2022 program (Domain Applied and Engineering Sciences).
DOI: 10.5281/zenodo.15039909
title: Sample BLE Dataset, Upper San Antonio (Duplicate Effective, Re-run in HEC-RAS 6.6)

description: This is an example BLE dataset used with the RAS-Commander library.  It consists of the 12100301 FEMA Model downloaded from FEMA's Estimated Base Flood Elevation (BFE) Viewer for the following area: 

Study Area Name: Upper San Antonio

Study Area Identifier: 12100301

The existing HEC-RAS 5.0.7 model was used as-is, and results for Plan 13 were generated in HEC-RAS 6.6 to create duplicate results in the newer HDF format for demonstration purposes only. 

This dataset is provided as sample data for the demonstration of the RAS-Commander libary ONLY and is not itself a regulatory product or formal study.
DOI: 10.5281/zenodo.15039910
title: Sample BLE Dataset, Upper San Antonio (Duplicate Effective, Re-run in HEC-RAS 6.6)

description: This is an example BLE dataset used with the RAS-Commander library.  It consists of the 12100301 FEMA Model downloaded from FEMA's Estimated Base Flood Elevation (BFE) Viewer for the following area: 

Study Area Name: Upper San Antonio

Study Area Identifier: 12100301

The existing HEC-RAS 5.0.7 model was used as-is, and results for Plan 13 were generated in HEC-RAS 6.6 to create duplicate results in the newer HDF format for demonstration purposes only. 

This dataset is provided as sample data for the demonstration of the RAS-Commander libary ONLY and is not itself a regulatory product or formal study.
DOI: 10.15468/dl.944wu9
title: Occurrence Download

description: A dataset containing 369 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "TaxonKey is Pyriglena atra (Swainson, 1825)",
 "Year 1000-2024"
 ]
}

 The dataset includes 369 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012942-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.