cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0178337.10fu
title: SH0178337.10FU

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/sh0178338.10fu
title: SH0178338.10FU

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/sh0178339.10fu
title: SH0178339.10FU

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/sh0178340.10fu
title: SH0178340.10FU

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/sh0178341.10fu
title: SH0178341.10FU

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/sh0178342.10fu
title: SH0178342.10FU

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/sh0178343.10fu
title: SH0178343.10FU

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/sh0178344.10fu
title: SH0178344.10FU

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.ba7vn5
title: Occurrence Download

description: A dataset containing 5208 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY 4.0, CC-BY-NC 4.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Ziziphus spina-christi (L.) Desf."
 ]
}

 The dataset includes 5208 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011440-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18712/nsd-nsd3260-v1
title: NORWEU, V1.0: Political documents on Norwegian EU policies, 1987-2022

description: The NORWEU database is a collection of documents suitable for exploring questions related to Norwegian politicians' positions towards and representations of Norway's relationship with the EU. The database contains central political documents on Norway's relations with the European Communities (EC)/the European Union (EU) in the period 1987-2022. The database includes party political documents (manifestos), government documents on European affairs (white papers, strategies, government platforms and addresses to Parliament on European affairs), and parliamentary documents (parliamentary debates on relevant white papers and the addresses to Parliament on European affairs, and minutes from the European Consultative Committee). 

The database is freely available for download and can be found below under "Related documents and other materials".
DOI: 10.5281/zenodo.14799755
title: Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks
DOI: 10.5281/zenodo.14799756
title: Classification of the stages of Alzheimer's disease based on three-dimensional lightweight neural networks
DOI: 10.15468/dl.mg33u3
title: Occurrence Download

description: A dataset containing 24367 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.6163 41.66268,2.81729 41.66268,2.81729 41.77439,2.6163 41.77439,2.6163 41.66268))",
 "HasGeospatialIssue is false",
 "Year 2019-2024"
 ]
}

 The dataset includes 24367 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011441-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3nagj
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Paulownia tomentosa (Thunb.) Steud."
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011443-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5hm52x5m
title: MassIVE MSV000097035 - Mitochondrial damage drives T-cell immunometabolic paralysis after major surgery
title: Cytotoxic T cell (CTL) dysfunction is a key feature of immune paralysis following major surgery, significantly increasing the risk of severe nosocomial infections and contributing to elevated mortality in critically ill patients. The pathomechanisms of CTL dysfunction remain unclear. We report that reactive oxygen species (ROS) release by Myeloid-Derived Suppressor Cells, which transiently and unexpectedly emerge after major surgery, drives perioperative CTL immunoparalysis. This ROS release causes a critical accumulation of ROS within CTL, overwhelming their antioxidative defenses and severely compromising mitochondrial membrane potential. Consequently, oxidative phosphorylation is impaired, and CTL effector functions are inhibited. Additionally, stress-induced mitochondrial hyperfusion occurs, which disrupts fission-dependent mitochondrial translocation to the immunological synapse, exacerbating the bioenergetic failure. These processes result in substantial mitochondrial dysfunction, which could be partially reversed by treatment with the mitochondria-targeting antioxidant MitoTempo. Stabilizing mitochondrial function could serve as a promising clinical strategy for preventing and treating perioperative immune dysfunction.
DOI: 10.15468/dl.8ycppa
title: Occurrence Download

description: A dataset containing 1662 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Syringa oblata Lindl."
 ]
}

 The dataset includes 1662 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011442-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8942c93833
title: EBD concept and framework based on their relationship with POE and PDE – a systematic literature review about health and other environment approaches

description: data from papers identified for systematic literature review (SLR) entitled "EBD concept and framework based on their relationship with POE and PDE – a systematic literature review about health and other environment approaches".
includes
- selection phase data
- extraction phase data
DOI: 10.25850/nioz/7b.b.wg
title: Seasonal dynamics and diversity of Antarctic marine viruses reveal a novel viral landscape

description: Data related to "Seasonal dynamics and diversity of Antarctic marine viruses reveal a novel viral landscape"
DOI: 10.15468/dl.v4ffeu
title: Occurrence Download

description: A dataset containing 7816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Senecio angulatus L.fil., Senecio canalipes E.Mey., Senecio tredecimsquamosus Sch.Bip., Senecio macropodus DC., Cineraria laevis A.Spreng.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 7816 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011444-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13898879
title: Closed-Loop Long-Term Experimental Molecular Communication System

description: For the Arxiv Version of the Paper: Click hereShort Description of the Paper:

In this work, we designed a biocompatible, resource-efficient, and externally controllable experimental molecular communication (MC) system. It employs the green fluorescent protein variant "Dreiklang" (GFPD) as signaling molecule, which can be reversibly switched between two fluorescent states using light of specific wavelengths. Information transmission is facilitated by an optical transmitter and an optical eraser that can write and erase information, respectively, onto the state of GFPD, while the receiver reads the encoded state through fluorescence detection. The closed-loop configuration and extended experimental durations result in unique forms of inter-symbol interference (ISI) not observed in shorter or open-loop systems. We developed a dedicated communication scheme, incorporating blind transmission start detection, symbol-by-symbol synchronization, and an adaptive threshold detection supporting higher-order modulation. Moreover, we conducted the longest MC experiment to date, both with respect to the number of bit transmitted as well as the duration of the transmission, thereby setting a novel benchmark for long-term MC experiments.

Data and Code:

We have published our experimental data and the Python code for synchronization and detection here on Zenodo and in an accompanying GitHub repository under the CC BY and MIT licenses, respectively. The data is shared here in two forms: i) as a zip folder containing the raw data sorted by appearance in the paper (experiment_files.zip), i.e., sorted by the paper figure numbers, ii) as a SQLite database (mmtb.db). The SQLite database can be easily integrated into the code provided on GitHub. The GitHub repository also contains step-by-step instructions on how to install the code package. Researchers are welcome to develop their own synchronization and detection schemes using our dataset.

If you have any question or suggestions for improvements, feel free to contact us.



Louis Wolf



 Email: louis.wolf@fau.de



Maike Scherer



Email: maike.scherer@fau.de



Lukas Brand



Email: lukas.brand@fau.de




Further References:

This work was supported by DFG Project 290825040. For more information visit: Institute of Digital Communication, Institute of Bioprocess Engineering, Institute of Biochemistry, and Institute of Microbiology.

This work is also associated to the research training group 2950: Synthetic Molecular Communication Across Different Scales: From Theory to Experiments (SyMoCADS).
DOI: 10.5281/zenodo.13898880
title: Closed-Loop Long-Term Experimental Molecular Communication System

description: For the Arxiv Version of the Paper: Click hereShort Description of the Paper:

In this work, we designed a biocompatible, resource-efficient, and externally controllable experimental molecular communication (MC) system. It employs the green fluorescent protein variant "Dreiklang" (GFPD) as signaling molecule, which can be reversibly switched between two fluorescent states using light of specific wavelengths. Information transmission is facilitated by an optical transmitter and an optical eraser that can write and erase information, respectively, onto the state of GFPD, while the receiver reads the encoded state through fluorescence detection. The closed-loop configuration and extended experimental durations result in unique forms of inter-symbol interference (ISI) not observed in shorter or open-loop systems. We developed a dedicated communication scheme, incorporating blind transmission start detection, symbol-by-symbol synchronization, and an adaptive threshold detection supporting higher-order modulation. Moreover, we conducted the longest MC experiment to date, both with respect to the number of bit transmitted as well as the duration of the transmission, thereby setting a novel benchmark for long-term MC experiments.

Data and Code:

We have published our experimental data and the Python code for synchronization and detection here on Zenodo and in an accompanying GitHub repository under the CC BY and MIT licenses, respectively. The data is shared here in two forms: i) as a zip folder containing the raw data sorted by appearance in the paper (experiment_files.zip), i.e., sorted by the paper figure numbers, ii) as a SQLite database (mmtb.db). The SQLite database can be easily integrated into the code provided on GitHub. The GitHub repository also contains step-by-step instructions on how to install the code package. Researchers are welcome to develop their own synchronization and detection schemes using our dataset.

If you have any question or suggestions for improvements, feel free to contact us.



Louis Wolf



 Email: louis.wolf@fau.de



Maike Scherer



Email: maike.scherer@fau.de



Lukas Brand



Email: lukas.brand@fau.de




Further References:

This work was supported by DFG Project 290825040. For more information visit: Institute of Digital Communication, Institute of Bioprocess Engineering, Institute of Biochemistry, and Institute of Microbiology.

This work is also associated to the research training group 2950: Synthetic Molecular Communication Across Different Scales: From Theory to Experiments (SyMoCADS).
DOI: 10.17632/f54hybmjd6
title: Erralla Dog Humerus (3D)

description: Erralla Dog Humerus 3D reconstruction with MeshLab program.
DOI: 10.25318/3410023301-eng
title: Information system(s) used for management for municipally owned wastewater assets, by urban and rural, and population size, Infrastructure Canada, inactive

description: Information system(s) used for management of municipally owned wastewater assets for all provinces and territories, by urban and rural and population size. Values are presented for 2016.
DOI: 10.15468/dl.3eyef4
title: Occurrence Download

description: A dataset containing 120902 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Abies alba Mill."
 ]
}

 The dataset includes 120902 records from 602 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011418-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3410023301-fra
title: Utilisation d’au moins un système d’information pour la gestion des actifs relatifs aux eaux usées de propriété municipale, selon la zone (urbaine ou rurale) et la taille de population, Infrastructure Canada, inactif

description: Utilisation d’au moins un système d’information pour la gestion municipale des actifs relatifs aux eaux usées pour toutes les provinces et territoires, selon la zone (urbaine ou rurale) et la taille de population. Les données sont présentées pour 2016.
DOI: 10.17632/2dcrypj98g
title: CMIP6 Bias Diagnosis

description: Data set for McKitrick, Vogelsang and Christy Time Series Analysis of the CMIP6 Tropospheric Warming Bias
DOI: 10.6084/m9.figshare.28263290
title: Supplementary Material (code and data sets from Nokia under CC BY NC ND 4.0 license) for the following paper: L. Madeyski and S. Stradowski, “Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application,” Journal of Systems and Software, p. 112360, 2025. DOI: 10.1016/j.jss.2025.112360 URL: https://doi.org/10.1016/j.jss.2025.112360

description: This package (see also https://madeyski.e-informatyka.pl/download/MadeyskiStradowski24Supplement.pdf) includes research artefacts (developed code and datasets from Nokia under CC BY NC ND 4.0 license) required to reproduce the results presented in the paper:Lech Madeyski and Szymon Stradowski, “Predicting test failures induced by software defects: A lightweight alternative to software defect prediction and its industrial application,” Journal of Systems and Software, p. 112360, 2025. DOI: 10.1016/j.jss.2025.112360 URL: https://doi.org/10.1016/j.jss.2025.112360 Highlights from the paper:We propose a Lightweight Alternative to Software Defect Prediction (LA2SDP)The idea behind LA2SDP is to predict test failures induced by software defectsWe use eXplainable AI to give feedback to stakeholders \& initiate improvement actionsWe validate our proposed approach in a real-world Nokia 5G test processOur results show that LA2SDP is feasible in vivo using data available in Nokia 5G<br>
DOI: 10.5281/zenodo.14801726
title: Software Product Families from a Phylogenetics Perspective for Video Game Content Generation

description: Dataset and source code used for the evaluation of four Video Game Content Generation approaches: FICG, LCG, PCG+L, PCG+R.