cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-3296
title: Data for "Quantum fluctuations in one-dimensional supersolids"

description: &lt;p&gt;Mathematica file and dataset to reproduce the results in "Quantum fluctuations in one-dimensional supersolids".&lt;/p&gt;

The Mathematica file "Quantumfluctuations.nb" created with Mathematica 12.0.0.0 contains all relevant functions and descriptions to reproduce the data used for the related publication. The file dat.txt serves as an input for Quantumfluctuations.nb to quickly plot the data and obtain the figures of the related publication. However, the *.txt file can also be reproduced with the Mathematica file. The content of the *.txt files is explained in Quantumfluctuations.nb.
DOI: 10.18419/darus-3296/3
title: Quantumfluctuations.pdf
DOI: 10.18419/darus-3302/1
title: README.md
DOI: 10.18419/darus-3302/2
title: load_data.py
DOI: 10.18419/darus-3302/3
title: arm_dataset.hdf5
DOI: 10.18419/darus-3549/1
title: cases.tar.xz

description: Case files for the simulation examples with instructions to run them
DOI: 10.18419/darus-3549/2
title: results.tar.xz

description: Reference results for the simulation cases
DOI: 10.18419/darus-3549
title: Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations

description: &lt;p&gt;Input files and results for two simulation examples using the preCICE-FMI runner as described in "A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations". &lt;/p&gt;

&lt;p&gt;First, the simulation of a partitioned mass-spring oscillator system is considered. All model equations are based on ODEs. The coupled simulation can be executed with a FMU models, a Python solver or the combination of both. Second, we calculate a fluid flow around a moving cylinder. The flow equations are PDE-based and solved by OpenFOAM. A FMU model is coupled to OpenFOAM and used to implement a control algorithm to suppress the movement of the cylinder. &lt;/p&gt;


Please refer to the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=238918"&gt;README file&lt;/a&gt; for further instructions.
description: We acknowledge the support by the Stuttgart Center for Simulation Science (SimTech).
DOI: 10.18419/darus-3549/3
title: README.md

description: Instructions on how to use this data set
DOI: 10.18419/darus-3557/1
title: Droplet_Collision_Setups_and_Outcomes_Data_PotykaSchulte2023_ImmiscibleVOF.tab

description: Setups and Outcomes of Droplet Collision Simulations
DOI: 10.18419/darus-3557
title: Setups for and Outcomes of Immiscible Liquid Droplet Collision Simulations

description: Tabulated data of the setups and outcomes of the immiscible liquid and single liquid droplet collisions for the publication Johanna Potyka, Kathrin Schulte: A volume of fluid method for three dimensional direct numerical simulations of immiscible droplet collisions,
International Journal of Multiphase Flow, Volume 170, 2024, 104654, &lt;a href="https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654"&gt;https://doi.org/10.1016/j.ijmultiphaseflow.2023.104654&lt;/a&gt;.
DOI: 10.18419/darus-3557/2
title: FurtherAssessmentOfTheEnhancedVOFMethod_SupplementaryMaterial.pdf

description: Supplementary information for the validation of the simulation method for immiscible liquids' interaction
DOI: 10.18419/darus-3577/1
title: CS.tab
DOI: 10.18419/darus-3577/2
title: NC1.tab
DOI: 10.18419/darus-3577
title: Replication Data for: Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures

description: This dataset contains all the validation data that presented within the paper "Cornuspline path planning algorithm for the fabrication of coreless wound fiber-polymer composite structures". This paper presents a spline path planning algorithm based on clothoids. This algorithm considers both the process requirements and the dynamic characteristics of the manufacturing unit. Furthermore, the algorithm is validated on a test contour and compared with established commercial methods. The test contour is not based on a specific structural element as it is usually manufactured but combines individual hallenging manufacturing situations in a systematic approach. The result is a contour that contains both sharp and slight changes in the tangent angle. A simulated Beckhoff TwinCAT controller (v3.1 Build 4024.11) is used as a reference system. This is a commercial industrial controller that is equipped with a CNC kernel and can be flexibly used for motion control of robots or machine tools. To compare the Cornuspline (CS), two programs were created to control the NC. In the first variant (NC1), the set points for the path are emulated from established methods. In the second variant (NC2), the set points are exactly on the arc along the curve. In both NC variants, the set points were connected via a B-spline function. The dataset contains three files with the position data for CS, NC1 and NC2.
DOI: 10.18419/darus-3577/3
title: NC2.tab
DOI: 10.15468/dl.tvu3yj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haematopus ostralegus Linnaeus, 1758",
 "Year is 23",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003382-241107131044228/datasets/export for details.
DOI: 10.18419/darus-3588/1
title: direct_tension_pmma_2.tab
DOI: 10.18419/darus-3588/2
title: direct_tension_pmma_1.tab
DOI: 10.18419/darus-3588/3
title: direct_tension_pmma_3.tab
DOI: 10.18419/darus-3108/1
title: Scenario1.tar.gz
DOI: 10.18419/darus-3108/2
title: Scenario3.tar.gz
DOI: 10.18419/darus-3108/3
title: Scenario2.tar.gz
DOI: 10.18419/darus-3240/1
title: changelog.txt
DOI: 10.18419/darus-3240/2
title: readme.txt
DOI: 10.18419/darus-3240
title: MPIIFaceGaze
title: It’s Written All Over Your Face: Full-Face Appearance-Based Gaze Estimation

description: We present the MPIIFaceGaze dataset which is based on the MPIIGaze dataset, with the additional human facial landmark annotation and the face regions available. We added additional facial landmark and pupil center annotations for 37,667 face images. Facial landmarks annotations were conducted in a semi-automatic manner as running facial landmark detection method first and then checking by two human annotators. The pupil centers were annotated by two human annotators from scratch. For sake of privacy, we only released the face region and blocked the background in images. See &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=198950"&gt;readme.txt&lt;/a&gt; for more details about the data.
description: The data is only to be used for non-commercial scientific purposes.
DOI: 10.18419/darus-3240/3
title: Data.zip
DOI: 10.18419/darus-3248/1
title: pHGuitarSystemMatrices.mat

description: .mat-file of the port-Hamiltonian system matrices in velocity formulation according to the paper "Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar"
DOI: 10.18419/darus-3248/2
title: parCordPlot_sensAnalysis_pHGuitarMOR.html

description: visualisation of all numerical sensitivity analysis experiments as an interactive parallel coordinates plot. Note that for visualisation purposes the error &gt;1 is set to 1. html-file can be opened with every browser.
DOI: 10.18419/darus-3248
title: Replication Data for: Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar

description: This dataset includes the system matrices in velocity formulation and a parallel coordinates plot of the sensitivity analysis from the paper titled "Port-Hamiltonian Fluid-Structure Interaction Modeling and Structure-Preserving Model Order Reduction of a Classical Guitar". The system matrices can be used to perform further system reformulations according to the paper or model reductions for the basis generation variants mentioned in the paper.&lt;br/&gt;
The parallel coordinates plot is an interactive way to visualize the multitude of numerical experiments. For this purpose, the desired combination possibilities can simply be marked. The color of the path is a measure of the relative error due to the model reduction. The plot is in .html file format and can be opened with any browser. For visualisation purposes all error values &gt;1 were set to 1.
description: MATLAB, R2020b
DOI: 10.18419/darus-3248/3
title: PortHamiltonianFluidStructureGuitar_nonInteractivePreview.png

description: non-interactive preview of the visualisation
DOI: 10.18419/darus-2297/1
title: NMR Daten.zip
DOI: 10.18419/darus-2297/2
title: GC-MS Daten.zip
DOI: 10.18419/darus-2297
title: Replication data of Buchmeiser group for: "Tungsten Sulfido Alkylidene and Cationic Tungsten Sulfido Alkylidene N-Heterocyclic Carbene Complexes"

description: &lt;p&gt;The synthesis of neutral tungsten sulfido alkylidene complexes as well as cationic tungsten alkylidene NHC complexes is outlined. The first tungsten sulfido alkylidene complexes for olefin metathesis reactions were synthesized. Alkylidyne complexes were used as precursors and were reacted with hydrogen sulfide to protonate the alkylidyne ligand.&lt;/p&gt;

&lt;p&gt;Data from collaborating groups can be found in a separate data set.&lt;/p&gt;

&lt;p&gt;The data is structured according to figures and schemes in the research article and contains the following data types: NMR Spectra and integrals of GC-MS measurements. GC-MS data was evaluated with MassHunter software by agilent. NMR data was evaluated with MestreNova.
&lt;/p&gt;

&lt;p&gt;Crystal data (see related datasets) is deposited in the Cambridge Structural Database (CSD) of the Cambridge Crystallographic Data Centre (CCDC). &lt;/p&gt;
description: Data is structured in NMR measurements (Spectra of new compounds and NMR experiments (W02+BCF)). And GC-MS measurements of the metathesis reactions. (Further information can be found in the readme file)
DOI: 10.18419/darus-2297/3
title: Katalysatorbeschreibungen.txt
DOI: 10.15468/dl.u98nuw
title: Occurrence Download

description: A dataset containing 27509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is one of (Continent derived from coordinates, Country derived from coordinates, Occurrence status inferred from individual count)",
 "OccurrenceStatus is Present",
 "TaxonKey is Microtus arvalis (Pallas, 1779)"
 ]
}

 The dataset includes 27509 records from 572 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003379-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6092/unibo/amsacta/7864
title: Data related to the development of a nasal spray for the local delivery of the new strain Lactiplantibacillus plantarum BIA

description: This dataset contains data collected in the research activities concerning the development of a mucoadhesive nasal spray containing the new strain Lactiplantibacillus plantarum BIA. Lactiplantibacillus plantarum BIA was isolated from orange peels and taxonomically identified by sequencing the 16S rRNA gene. Its ability to inhibit various pathogens, such as Pseudomonas aeruginosa, Streptococcus pyogenes, Bacillus subtilis, Escherichia coli, and Staphylococcus aureus was demonstrated as well as its anti-inflammatory properties. The strain was then formulated as a freeze-dried matrix to be reconstituted in a hydroxypropyl methylcellulose solution. Reconstitution medium was selected among different polymer solutions based on properties like pH, viscosity and mucoadhesiveness. BIA viability in its dried and reconstituted form was assessed for up to 3 months and 1 week, respectively, and the final formulation was evaluated for its mucoadhesive properties, antimicrobial activity against the tested pathogens and anti-inflammatory potential.
DOI: 10.18419/darus-2494/1
title: 00009649.jpg
DOI: 10.15468/dl.xnyb9t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Troglodytes troglodytes (Linnaeus, 1758)",
 "Year is 39",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003384-241107131044228/datasets/export for details.
DOI: 10.18419/darus-2494/2
title: 00009648.jpg
DOI: 10.15468/dl.tnve98
title: Occurrence Download

description: A dataset containing 6354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dreissena polymorpha (Pallas, 1771)",
 "Country is United States of America",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 6354 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003383-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-2494
title: 2D pictures of GO06/01

description: &lt;p&gt;Dataset contains all pictures (.jpg) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?persistentId=doi:10.18419/darus-1996/3"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;back view&lt;/li&gt; &lt;/ul&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: large objects
DOI: 10.18419/darus-2494/3
title: 00009646.jpg
DOI: 10.18419/darus-2504/1
title: 00009599.jpg
DOI: 10.18419/darus-2504/2
title: 00009597.jpg
DOI: 10.18419/darus-2504
title: 2D pictures of GO07/04

description: &lt;p&gt;Dataset contains all pictures (.jpg) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?persistentId=doi:10.18419/darus-1996/3"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view&lt;/li&gt; &lt;li&gt;details&lt;/li&gt;&lt;/ul&gt; 
&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: large objects
DOI: 10.18419/darus-2504/3
title: 00009604.jpg
DOI: 10.18419/darus-2539/1
title: case1.tab
DOI: 10.18419/darus-2539/2
title: case2.tab
DOI: 10.18419/darus-2539
title: Data from: Comparison of Macro- and Microscopic Solutions of the Riemann Problem II. Two-Phase Shock Tube

description: &lt;p&gt;This dataset refers to the results of a compressible sharp-interface code published in: &lt;a href="https://doi.org/10.1016/j.jcp.2020.110027"&gt;Hitz et al. 2021&lt;/a&gt; (Comparison of macro- and microscopic solutions of the Riemann problem II. Two-phase shock tube). Therein, three shock tube-like scenarios were considered in which the initial states were a liquid and a vapor of the Lennard-Jones truncated and shifted fluid. The initial states were not in equilibrium. Consequently, evaporation occurred during runtime. &lt;/p&gt;

&lt;p&gt;The numerical method modeled evaporation via the use of a two-phase Riemann solver with appropriate closure conditions for the heat and mass flux at the interface. The solution on the bulk phases was obtained via a discontinuous Galerkin method with finite volume sub-cell shock-capturing. As Equation of state, a Fortran implementation of the PeTS EOS was used (see: &lt;a href="https://doi.org/10.17632/f6gx6y5r34.1"&gt;Hitz & Munz 2021&lt;/a&gt; "Fortran Implementation of Perturbed Truncated and Shifted Model Fluid (PeTS) EOS"). &lt;/p&gt;

Each of the data files refers to the three cases discussed in the publication. All Data is given as non-dimensional quantities as discussed in &lt;a href="https://doi.org/10.1016/j.jcp.2020.110027"&gt;Hitz et al. 2021&lt;/a&gt; (Comparison of macro- and microscopic solutions of the Riemann problem II. Two-phase shock tube).
DOI: 10.18419/darus-2539/3
title: case3.tab
DOI: 10.5066/p13cawlm
title: Shoreline data for Ocean Beach, San Francisco, California, 2004 to 2021

description: Beach shoreline positions were derived from 221 approximately monthly beach topography surveys from 2004 through 2021 at Ocean Beach in San Francisco, California. Shoreline shapefiles for local Mean High Water (1.619m NAVD88) and local Mean Sea Level (0.975m NAVD88) were created from each survey.
DOI: 10.18419/darus-2820/1
title: Step_01.py

description: Code to preprocess the raw dataset (performance, subjective and Electrodermal activity data)
DOI: 10.18419/darus-2820/2
title: Step_02.ipynb

description: Code for Statistical analysis of preprocessed data (Jupyter Notebook file)
DOI: 10.18419/darus-2820
title: Virtual Reality Adaptation using Electrodermal Activity to Support User Experience

description: &lt;p&gt;We report an experiment (N=18) where participants where engaged in a dual task setting in a Social VR (Virtual Reality) scenario. We present a physiologically-adaptive system that optimizes the virtual environment based on physiological arousal, i.e., electrodermal activity. We investigated the usability of the adaptive system in a simulated social virtual reality scenario. Participants completed an n-back task (primary) and a visual detection (secondary) task. Here, we adapted the visual complexity of the secondary task in the form of the number of not-playable characters of the secondary task to accomplish the primary task. We show that an adaptive virtual reality can improve users’ comfort by adapting to physiological arousal the task complexity.&lt;/p&gt;

&lt;p&gt;Specifically we make available physiological (Electrodermal Activity - EDA, Electroencephalography - EEG; Electrocardiography - ECG) , behavioral and questionnaires data and lastly, the analysis code.&lt;/p&gt;
description: Users interested in reproducing the results can follow the methodology as reported in the paper and the analysis code as reported in the Python script (" Step_02.") in the Files section.
DOI: 10.18419/darus-2820/3
title: DataSet.7z

description: Dataset containing data for each participant. Specifically included are : 
1. Slope of the EDA tonic in -adaptation.csv ;

2. Raw Electrocardiogram (ECG) data in -ECG.csv;

3. Raw Electroencephalogram (EEG) data in -EEG.csv acquired from Value1 : Fz, P3, P, P4, PO7, Oz and PO8 electrodes.

4. Feedback presented during the N-Back task in -feedback.csv. 

5. Count and description of each Not-Playable Characters in the VR Environment, relevant to the visual detection task in -flow.csv.

6. Start and End of each condition, including Baseline definition in -state.csv

7. Count of Not-Playable Characters present in the VR scene across the duration of the experiment in -visitorCount.csv .
DOI: 10.18419/darus-1834/1
title: test_procedure.pdf

description: Visualization of the compression test procedure, showing the displacement-time-graph and the time-load-graph.
DOI: 10.18419/darus-1834/2
title: 2_3_compression_test_data.tab

description: Measurement data recorded during the compression test supplemented by stress and strain.
DOI: 10.18419/darus-1834/3
title: reconstructed_20200505_01.tar.gz

description: Reconstructed micro-XRCT data set before the uniaxial compression test in 16 bit *.tif file format. 1944x1944x1425 voxels with the uniform voxel size of 30.0 µm.
DOI: 10.15468/dl.dhh6f9
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bassaricyon alleni Thomas, 1880",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 66 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003385-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1834/4
title: reconstructed_20201016_01.tar.gz

description: Reconstructed micro-XRCT data set after the uniaxial compression test in 16 bit *.tif file format. 1944x1944x1425 voxels with the uniform voxel size of 30.0 µm.
DOI: 10.18419/darus-2018/1
title: 03_DSC08767.tif
DOI: 10.18419/darus-2018/2
title: 01_DSC08763.tif
DOI: 10.18419/darus-2018/3
title: 02_DSC08765.tif
DOI: 10.18419/darus-2018
title: 2D pictures of MÜ67-18

description: &lt;p&gt;Dataset contains all pictures (.tif) that were taken during the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=49056&version=DRAFT"&gt;2D digitisation strategy&lt;/a&gt; for this object.&lt;/p&gt; &lt;p&gt;Order of data: object was digitised according to a digitisation schema visible within the Dataset&lt;/p&gt;&lt;ul&gt;&lt;li&gt;characteristic view,&lt;/li&gt; &lt;li&gt;front view,&lt;/li&gt; &lt;li&gt;left view,&lt;/li&gt; &lt;li&gt;back view,&lt;/li&gt; &lt;li&gt;right view,&lt;/li&gt;&lt;li&gt;bottom view,&lt;/li&gt; &lt;li&gt;upward view, &lt;/li&gt;&lt;li&gt;details (details 1, details 2, ..., details n)&lt;/li&gt;&lt;/ul&gt;&lt;p&gt; This schema is indicated within the pictures by inventory label and then labels according to view.&lt;/p&gt;&lt;p&gt; Further information one can find in the document: Setting and workflow for basic development of 2D.&lt;/p&gt;&lt;p&gt;This dataset is part of the digital gyroscope collection. For more information about 
the collection and its creation, please see the documentation dataset:
&lt;i&gt;Niklaus, Maria, 2021, "Information about the Gyrolog data repository", 
&lt;a href="https://doi.org/10.18419/darus-821"&gt;doi: 10.18419/darus-821&lt;/a&gt;, DaRUS.&lt;/i&gt;&lt;/p&gt;&lt;p&gt;&lt;b&gt;To refer to the whole collection: Wagner, Jörg F.; Ceranski, Beate; Fritsch, Dieter; Mammadov, Gasim; Niklaus, Maria; Schweizer, Timo; Simon, Sven; Zhan, Kun, 2021, "Digital Gyroscope Collection Created by the Project 'Gyrolog'", &lt;a href="https://doi.org/10.18419/darus-gyrolog"&gt;doi: 10.18419/darus-gyrolog&lt;/a&gt;, DaRUS.&lt;/b&gt;&lt;/p&gt;
description: sensor
DOI: 10.18419/darus-2018/4
title: 04_DSC08768.tif
DOI: 10.18419/darus-2055/1
title: PET_09_tcoffee.aln

description: Multiple sequence alignment in Clustal format.
DOI: 10.18419/darus-2055/2
title: PET_09_tcoffee.hmm

description: Profile hidden Markov model in HMMER3 format