cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1158029.10fu
title: SH1158029.10FU

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/sh1158036.10fu
title: SH1158036.10FU

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/sh1158038.10fu
title: SH1158038.10FU

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/sh1158043.10fu
title: SH1158043.10FU

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/sh1158044.10fu
title: SH1158044.10FU

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/sh1158046.10fu
title: SH1158046.10FU

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/sh1158048.10fu
title: SH1158048.10FU

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/sh1158049.10fu
title: SH1158049.10FU

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/sh1158050.10fu
title: SH1158050.10FU

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/sh1158051.10fu
title: SH1158051.10FU

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: 10.48804/od07sr
title: Replication Data for: Robust vision-based estimation of time-varying structural parameters using Kalman filtering

description: Data contained in the article: 'Robust vision-based estimation of time-varying structural parameters using Kalman filtering'. 
The datasets include:
- position data for a slider-crank system moving in two different dynamic settings, low speed (10 rad/s) and high speed (60 rad/s). These measurements are obtained by vision data captured with a stereo camera setup.
- estimation results obtained by applying Kalman filtering to the experimental data.
- simulated data used in virtual estimation experiments on rigid Multibody systems, and the related Kalman filtered results.
Data is contained in .7z archives which contain the .csv files with the data used in the figures of the paper.
DOI: 10.48804/phmf9d
title: Automotive Experimental Reference Data Set: LMSD Concept Car, Lommel (BE), 2023

description: This repository contains an experimental reference data set recorded with the &lt;em&gt;LMSD Concept Car&lt;/em&gt; research validation vehicle platform. The sensor set employed for this campaign consists of two types of sensors:
&lt;ul&gt;
&lt;li&gt; Automotive-grade on-board sensors (see &lt;code&gt;Table_On-boardSensors.png&lt;/code&gt;)&lt;/li&gt;
&lt;li&gt;High fidelity reference sensors:&lt;/li&gt;
&lt;ul&gt;
&lt;li&gt;Two wheel force transducers on the front axle: Kistler RoaDyn S635&lt;/li&gt;
&lt;li&gt;Optical velocity sensor: Kistler Correvit S-350&lt;/li&gt;&lt;/ul&gt;&lt;/ul&gt;
All tests have been performed on asphalt or concrete surfaces in dry conditions running tyre dimensions &lt;code&gt;235/55R19&lt;/code&gt; front and &lt;code&gt;235/60R18&lt;/code&gt; rear.
DOI: 10.15468/dl.n2nyuj
title: Occurrence Download

description: A dataset containing 1300 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is one of (Switzerland, Austria, Italy, Germany)",
 "OccurrenceStatus is Present",
 "TaxonKey is Erebia eriphyle (Freyer, 1836)",
 "Year 2000-2025"
 ]
}

 The dataset includes 1300 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001717-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qestsw
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Acrocomia emensis (Toledo) Lorenzi"
 ]
}

 The dataset includes 32 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001716-250324175209820/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48804/x817db
title: Replication Data for: Utilizing gyroscopes for force identification in structural dynamics using Kalman filters

description: Raw data for the paper of "Utilizing gyroscopes for force identification in structural dynamics using Kalman filters". The dataset contains the sensor readings for the experimental validation described in section 5 FE models used. The data can be directly accessed via MATLAB or GNU Octave (open access).
DOI: 10.48804/mddku0
title: MRR observations taken at Princess Elisabeth Station, Dronning Maud Land, East Antarctica

description: MRR (Metek Micro Rain Radar 2) recordings taken at the Belgian Princess Elisabeth Station, Dronning Maud Land, Antarctica.
Last updated on 2024-03-22 with data up until 2023-09-12.
description: IMProToo
description: An earlier version of this dataset was previously published at https://ees.kuleuven.be/hydrant/aerocloud/database/ (no longer updated)
DOI: 10.48804/ly1hk5
title: The gut microbiome shapes latitudinal differences in host immunity and pathogen tolerance, and buffers against immunosuppression under future warming

description: Latitudinal patterns in fitness-related traits within species may inform how populations could evolve under global warming, yet are poorly understood. We investigated the novel idea that the gut microbiome drives latitudinal differences in immune function and pathogen tolerance by contrasting high- and low-latitude populations of Ischnura elegans damselflies. A reciprocal gut microbiome transplant was performed between high- and low-latitude larvae at two thermal regimes, whereafter larvae were exposed to the pathogen Escherichia coli. Pathogen exposure increased mortality, especially under warming. Our results confirmed latitude-associated thermal adaptation and a faster pace-of-life of the low-latitude larvae, and revealed this to be associated with a lower immune function and pathogen tolerance (higher E. coli body burden). Moreover, our results provide the first experimental evidence that the gut microbiome causally contributed to latitudinal differences in the host’s immune function and pathogen tolerance. As latitudinal patterns in the microbiome are widespread, this may be an important yet ignored proximate driver of latitudinal patterns in immune function and pathogen tolerance. As expected, warming reduced the immune function especially in high-latitude larvae. Notably, the integration of a gut microbiome transplant experiment with a space-for-time substitution suggested that the high-latitude host may avoid a strong immunosuppression under warming, when only its gut microbiome but not the host would converge to the current low-latitude host-microbiome combination. Taking into account how the gut microbiome shapes latitudinal patterns in fitness-related traits and integrating it into space-for-time substitutions will deepen our understanding of the evolution of host populations under warming.
DOI: 10.48804/ebwswb
title: Replication Data for: Gaseous Inhibition of the Transsulfuration Pathway by Cystathionine β-Synthase

description: A set of files for replication of the quantum chemical calculations and molecular dynamics simulations in a study on gas signalling by a heme protein. For the quantum chemical calculations, B3LYP/def2-TZVP//def2-SVP optimised geometries are included. For the molecular dynamics simulations, starting geometries in GROMACS-format are provided as well as the protonation states of all titratable amino acids and the complete forcefield parameters, including those for the pyridoxal 5'-phosphate cofactor, NO gas, and heme-bound cysteine.
DOI: 10.48804/junnww
title: A Comparison of the Immediate Effects of Verbal and Virtual Reality Feedback on Gait in Children with Cerebral Palsy

description: The dataset contains kinematic and kinetic parameters as well as discrete gait variables of children with cerebral palsy walking on a treadmill in three conditions: Baseline walking condition, a condition in which verbal feedback on hip extension was given during walking and a condition in which vertual reality feedback on hip extension was given during walking.
description: Vicon Nexus
DOI: 10.48804/yz51ff
title: Replication Data for: MAP Philip the Good

description: This dataset contains all the primary research data from the MOLAB research project "Multi-disciplinary Analysis of the Portrait of Philip the Good", assembled during the in-situ analyses executed 14-22 February 2024 at the Musée des Beaux-Arts in Dijon, by the research teams from SCITEC (Perugia, IT), INO (Florence, IT) and Nicolaus Copernicus University (Torun, PL)
DOI: 10.48804/goq7g7
title: Replication Data for: Modelling mechanical faults in induction motors using magnetic equivalent circuits and lumped-element shaft-bearing dynamics

description: A magnetic equivalent circuit induction motor model is combined with a lumped-element rotor dynamics model. Their combination is analysed for (i) rotor position, (ii) rotor acceleration, (iii) unbalanced magnetic pull, (iv) bearing acceleration, and (v) stator currents in the presence of the following mechanical faults: (i) no-fault case, (ii) a stator outer race misalignment, (iii) a rotor mass unbalance, (iv) a bearing outer race spall fault, (v) a bearing inner race spall fault, (vi) a bearing ball spall fault. The dataset is stored as the complete state and input time-series of both models. Additionally, the dq-transformed stator currents are provided.
DOI: 10.48804/m4lned
title: Replication Data for: Examining the Impact of Daily Urban Activity on Spatial Segregation: Disparities in the Proportion of Foreign-born Residents across Residential Areas and Visited Locations

description: This repository contains the R code and aggregated data needed to replicate the analysis in our paper: Examining the Impact of Daily Urban Activity on Spatial Segregation: Disparities in the Proportion of Foreign-born Residents across Residential Areas and Visited Locations. File provides details of the R packages used. All code is organized in computational notebooks, arranged sequentially. Data required to execute these notebooks is stored in the `data/` folder. For further details, please refer to the enclosed 'README' file and the original publication.
DOI: 10.48804/m6wktn
title: In situ soil moisture measurement data for sensor calibration and pooled measurement error modeling

description: This measurement dataset contains mean in situ measurement data from dielectric soil moisture sensors (TEROS 10) and manual soil moisture samples.
It is used to calibrate TEROS 10 sensors at 15 cm depth with soil moisture samples to represent the top 30 cm soil layer.
It is also used to quantify pooled systematic and random errors of the mean sensor measurements, using the soil moisture samples as reference measurement.
DOI: 10.48804/akp2eo
title: Replication Data for: Thermal evolution of life history and heat tolerance during range expansions toward warmer and cooler regions

description: Phenotype data of the experiment described in Carbonell & Stoks. 2020. Ecology. The purpose was to test for evolution of phenotypes of the damselfly Ischnura elegans during range expansion from France into two regions in Spain (northern Spain and Southern Spain). The datasets contain values of measured variables at the end of a rearing experiment from the egg stage of larvae from the three regions reared at 4 temperatures. Measured variables are the following: heat tolerance (CTmax), development time, food intake, growth rate, growth efficiency, and survival.
DOI: 10.48804/fzin1k
title: Replication Data for: "Enhancing model identification with SINDy via nullcline reconstruction"

description: Archived version of replication data used for the manuscript "Enhancing model identification with SINDy via nullcline reconstruction". Instructions on the data can be found in the ReadMe file here and the Gitlab respository.
DOI: 10.48804/wp4h4s
title: Code for "Enhancing model identification with SINDy via nullcline reconstruction"

description: Archived version of code used for the manuscript "Enhancing model identification with SINDy via nullcline reconstruction". The code has been developed around the PySINDy package (version 1.7) of SINDy for Python (version 3.8.12). Instructions on how to use the scripts can be found in the ReadMe file here and the Gitlab respository.
DOI: 10.48804/fmjevt
title: Source code of Flexurba R package

description: This repository contains the source code of the &lt;code&gt;Flexurba&lt;/code&gt; R package, which contains a reconstruction of the Degree of Urbanisation (DEGURBA) algorithm to classify cities, towns and rural areas in a globally consistent manner. Instructions on how to install the package can be found in the &lt;code&gt;README&lt;/code&gt; file. Documentation of all functions and examples on how to use the package are included on the &lt;a href="https://flexurba-spatial-networks-lab-research-projects--e74426d1c66ecc.pages.gitlab.kuleuven.be/"&gt;accompanying website&lt;/a&gt;.
DOI: 10.48804/mbt32w
title: A nationwide dataset of de-identified activity spaces derived from geotagged social media data

description: This repository introduces a _de-identified_ and _spatially aggregated_ user activity dataset in the United States, which contains approximately 2 million users and 1.2 billion data points collected from 2012 to 2019. 

This data is stored in a series of [Parquet](https://github.com/apache/parquet-format) files, totaling 13GB, in the `data/parquet/` directory. A smaller subset with only points within the Denver timezone can be found in `data/sample/`.