cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1698302.08fu
title: SH1698302.08FU

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/sh1698303.08fu
title: SH1698303.08FU

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/sh334128.07fu
title: SH334128.07FU

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/sh334129.07fu
title: SH334129.07FU

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/sh1698304.08fu
title: SH1698304.08FU

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/sh1698305.08fu
title: SH1698305.08FU

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/sh1698306.08fu
title: SH1698306.08FU

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/sh334130.07fu
title: SH334130.07FU

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/sh334131.07fu
title: SH334131.07FU

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/sh1698307.08fu
title: SH1698307.08FU

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: 10.48436/m9fka-rja38
title: Daily snow cover grid maps over Austria in the period 2000-2020

description: The dataset provides daily snow cover grid maps for the territory of Austria in the period 2000-2020. The dataset consists of two products based on observations from Terra (in the period 2000-2020) and Aqua (period 2002-2020) satellites, both using Moderate Resolution Imaging Spectroradiometer (MODIS) data. The spatial resolution of all maps is 500m. 
The snow cover maps for Austria are processed from MODIS, Version 006, MOD10A1 (Terra, Hall and Riggs, 2016) and MYD10A1 (Aqua, Hall and Riggs, 2016) products. These products provide daily global grid maps of a Normalized Difference Snow Index (NDSI), which represents a difference in reflectance observations in the visible and infrared MODIS bands (band 4 and band 6). Snow cover classification requires then attributing the NDSI values to snow or land classes. The dataset uses for the snow cover classification a method developed and introduced in Tong et al. (2020). In comparison, previous approaches used a spatially and temporally fixed NDSI (i.e. if the NDSI value for a pixel was larger than 0.4, then the pixel was classified as snow-covered). The study of Tong et al. (2020) found that for snow cover mapping in Austria, the accuracy can be (3-10% larger) if the NDSI threshold varies spatially and seasonally. The overall accuracy of snow cover mapping in Austria is larger than 97%. Table 1, which is attached as a file in Table1_NDSI_thresholds.csv, shows the final criteria used for snow cover mapping as found for Austria in Tong et al., 2020.
The snow cover maps provide for each 500x500m grid information, whether it is classified as snow-covered or not, or it is not possible to classify it due to cloud cover. The limitation of the optical sensing of snow cover is that the clouds block the observation at the ground. The availability of daily observations from two satellites allows using several cloud reduction techniques if needed. More information about the cloud reduction approaches and their effectiveness in Austria can be found in Parajka et al. (2008) or Krajci et al. (2014). 
The format of the grid maps is GeoTiff. The images are projected from WGS84 using the Lambert Conformal Conic projection (LCC_WGS_1984). Each image covers an area within the boundaries of (10 000, 275 000) meters and (770 000, 715 000) meters (bottom-left, top-right).
The possible grid values and their corresponding classes are summarized below in Table2_Grid_value_classification.csv.
File Naming Convention includes name of the satellite product (Terra or Aqua), date in the format year (YYYY) and acquisition day of year (DDD). For example: 

Terra_2017003_snowcovermap_Austria.tif refers to a grid map from Terra satellite from 3rd January 2017.
Aqua_2007365_snowcovermap_Austria.tif refers to a grid map from Aqua satellite from 31th December 2007.
DOI: 10.48436/29ptn-05m16
title: Numerical results for "Highly nonperturbative nature of the Mott metal-insulator transition: Two-particle vertex divergences in the coexistence region"

description: This data repository contains the original figures, numerical (raw) data, and plot scripts to reproduce the figures from the publication "Highly nonperturbative nature of the Mott metal-insulator transition: Two-particle vertex divergences in the coexistence region" at Physical Review B.
The LaTeX source files of the preprint available on arXiv can be found at the TU gitlab.
License
The CC-BY license applies to all the data. All distributed code is under the MIT license.
DOI: 10.48436/8826f-kz050
title: RT-Percept Emerald Square

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Emerald Square scenes. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/nzs7r-9vz40
title: Numerical results for "Highly nonperturbative nature of the Mott metal-insulator transition: Two-particle vertex divergences in the coexistence region"

description: This data repository contains the original figures, numerical (raw) data, and plot scripts to reproduce the figures from the publication "Highly nonperturbative nature of the Mott metal-insulator transition: Two-particle vertex divergences in the coexistence region" at Physical Review B.
The LaTeX source files of the preprint available on arXiv can be found at the TU gitlab.
License
The CC-BY license applies to all the data. All distributed code is under the MIT license.
DOI: 10.48436/qjded-2z765
title: RT-Percept Emerald Square

description: Pre-rendered dataset used in Training and Predicting Visual Error for Real-Time Applications for the Emerald Square scenes. Generated using the RT-Percept renderer and the RT-Percept scenes.
DOI: 10.48436/kxxnm-xss93
title: Inventory of hazardous substance concentrations in different environmental compartments in the Danube river basin
title: Output of Danube Hazard m³c, an Interreg project in the Danube Transnational Programm

description: Description of the dataset
The data set contains an SQL-dump of a PostgreSQL data base. This data base contains concentrations of hazardous substances and other water quality parameters in different environmental compartments:

river water (water and suspended sediments)
ground water
waste water (treated and untreated) and sewage sludge
storm water runoff from combined and separate sewer systems
atmospheric deposition
soil
Data from many different data sources were collected, cheked and combined and meta data were harmonized to allow for a combined data evaluation.
Technical specifications
The SQL-file was exported from a PostgreSQL 15.2 data base and compressed using 7zip into a zip-file (dhm3cinventoryV2.zip).
Text-encoding is UTF-8.
Supplementary files
A short documentation (documentation_inventory_db_V2.0.pdf) and a listof known issues with the data which could not be resolved before publication  (List_of_known_issues_V2.0.pdf)  are enclosed as PDF files.
Versions
Version 2.0.1
During creation of Version 1.0.0 and 2.0.0 there was an processing error in the coordinates of atmospheric deposition and soil sampling sites leading to identical values for latitude and longitude for some sites. This was fixed in version 2.0.1.
Version 2.0.0
This Version 2.0.0 of the database contains more data as for further data sets a publication agreement was reached and some data were reimported to resolve some errors created during data preparation for import. The database structure was extended and corrected at different points, leading to an improved data model.
DOI: 10.48436/exk0a-aeb02
title: Numerical results for "Protection of correlation-induced phase instabilities by exceptional susceptibilities"

description: This data repository contains the original figures, numerical (raw) data, and plot scripts to reproduce the figures from the publication "Protection of Correlation-Induced Phase Instabilities by Exceptional Susceptibilities" at Physical Review Research. LaTeX source files of the preprint available on arXiv can be found at the TU gitlab repository. Additional information can be found in the README.
License
The CC-BY license applies to all the data and pdf files. All distributed code is under the MIT license.
DOI: 10.48436/j1rkr-e5107
title: Numerical results for "Protection of correlation-induced phase instabilities by exceptional susceptibilities"

description: This data repository contains the original figures, numerical (raw) data, and plot scripts to reproduce the figures from the publication "Protection of Correlation-Induced Phase Instabilities by Exceptional Susceptibilities" at Physical Review Research. LaTeX source files of the preprint available on arXiv can be found at the TU gitlab repository. Additional information can be found in the README.
License
The CC-BY license applies to all the data and pdf files. All distributed code is under the MIT license.
DOI: 10.48436/81x75-h5m03
title: The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna

description: The data and code scripts used for the analysis in the paper entitled "The Impact of Traffic Lights on Modal Split and Route Choice: A use-case in Vienna", submitted to AGILE (Association of Geographic Information Laboratories in Europe) 2024 Conference.
It comprises three folders within the zip file:

Data: Contains the datasets for the analysis.
Code: Includes script files essential for conducting the analysis. The scripts are written in Python.
Results: Includes the outcomes showcased in the associated paper.
Visualizations : Includes a jupyter notebook for the generated plots in the the associated paper.
Programming Language: Python  
For reproducibility read the README.txt file included in the zip folder.
All data files are licensed under CC BY 4.0, all software is licensed under MIT License.
description: The transportation dynamics within a European city, Vienna, are examined using a multi-graph representation of the city's network. The focus is on time-optimized routing algorithms and the effects of altering the average waiting penalty at traffic lights. The impact of these modifications, whether an increase to 60, 90, or even 150 seconds or a decrease to 10 seconds, is observed in the selection of transportation modes and routes for identical origin and destination pairs. The investigation also extends to whether routes shift towards secondary street networks to avoid traffic lights as the waiting penalty increases. Experimental variations in average waiting time for cars aim to uncover detailed effects on transportation mode choices, route length and time changes, and variations in human energy expenditure. These findings could provide valuable insights into the transportation network and its possibilities and help in urban planning and policy development.  The results indicate a shift in transportation mode as the waiting penalty for cars at traffic lights increases, and in some instances, routes are redirected to roads of lower importance such as residential or service roads.
DOI: 10.48436/afgk0-5ns64
title: Phase diagram and superconductivity of Calcium Alanates under pressure

description: Context and methodology
This repository contains the data of the related paper on the high-pressure phase diagram and superconducting properties of Calcium Borohydrides (preprint). This dataset was created with the goal of facilitating the full reproducibility of the submitted article. The dataset was created by collecting and organizing manually the various calculations performed.
 In short, the dataset contains:

The input/output files for Quantum ESPRESSO employed in the publication
The raw crystal structure dataset from the USPEX crystal structure prediction calculations
The raw data for the electronic structure and, where present, the raw data for the calculation of vibrational and superconducting properties
The code used for post-processing of the data into the figures reported in the related article
Technical details
The data is in plain text format and require no special software to be read, with the exception of crystal structures which are in the .vasp and .cif formats. For these the VESTA software from jp-minarals is recommended.
Additional information
Inside the compressed folder, a README file explains the data structure.
License
The CC-BY license applies to all the data. All distributed code is under the GNU GPL license.
DOI: 10.48436/nr0v5-a9g32
title: Phase diagram and superconductivity of Calcium Alanates under pressure

description: Context and methodology
This repository contains the data of the related paper on the high-pressure phase diagram and superconducting properties of Calcium Borohydrides (preprint). This dataset was created with the goal of facilitating the full reproducibility of the submitted article. The dataset was created by collecting and organizing manually the various calculations performed.
 In short, the dataset contains:

The input/output files for Quantum ESPRESSO employed in the publication
The raw crystal structure dataset from the USPEX crystal structure prediction calculations
The raw data for the electronic structure and, where present, the raw data for the calculation of vibrational and superconducting properties
The code used for post-processing of the data into the figures reported in the related article
Technical details
The data is in plain text format and require no special software to be read, with the exception of crystal structures which are in the .vasp and .cif formats. For these the VESTA software from jp-minarals is recommended.
Additional information
Inside the compressed folder, a README file explains the data structure.
License
The CC-BY license applies to all the data. All distributed code is under the GNU GPL license.