cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-2056
title: 3D Integrated Data of BM01-09

description: Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset.&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: accelerometer
DOI: 10.18419/darus-2056/1
title: BM01_10Integrated.ply
DOI: 10.18419/darus-2057
title: 3D Integrated Data of BM06-10

description: Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset.&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: accelerometer
DOI: 10.18419/darus-2057/1
title: BM06_10Integrated.ply
DOI: 10.18419/darus-1801
title: Protein sequences of arylsulfatases, phosphonate monoester hydrolases, and reconstructed ancestors

description: Protein sequences were derived from a maximum-likelihood phylogenetic tree for arylsulfatases and phosphonate monoester hydrolases, including a selection of reconstructed ancestral sequences.
description: This dataset comprises 95 protein sequences annotated as homologues of arylsulfatases (AS) and 85 protein sequences annotated as homologues of phosphonate monoester hydrolases (PMH). In addition to these 180 protein sequences, 58 ancestral protein sequences were reconstructed from a maximum-likelihood phylogenetic tree ("node_").
DOI: 10.18419/darus-1801/1
title: AS_PMH_ancestors.fasta

description: FASTA file for 238 protein sequences
DOI: 10.18419/darus-1814
title: Data for "Controlled Synthesis of “Reverse Pluronic”-Type Block Copolyethers with High Molar Masses for the Preparation of Hydrogels with Improved Mechanical Properties"

description: &lt;p&gt;The data is structured according to tables (and specific table entries) and schemes in the research article and contains the following data types: NMR raw data, GPC raw data, rheology raw data (the latter two in the form of exported .txt-files).&lt;/p&gt;

The NMR data can be used to calculate average block lengths of the polyethers. GPC data allow for relative determination of molar masses and molar mass distributions. Rheology data reveal information about, e.g., gel points or storage/loss moduli.
DOI: 10.18419/darus-1814/1
title: Data_for_Hydrogelpaper_Markus_Bruckner_Naumann_Macromol_Chem_Phys_2020_1900437.rar
DOI: 10.15468/dl.9edb8j
title: Occurrence Download

description: A dataset containing 49 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 Cytisus battandieri Maire"
 ]
}

 The dataset includes 49 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003324-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1824
title: High-speed synchrotron X-ray video of the laser beam cutting process in a 2 mm thick sheet of aluminium

description: The generation of low surface roughness of the cut edge during laser beam cutting is a challenge. The striation pattern, which determines the surface roughness, can be distinguished into regular and interrupted striations, the latter resulting in an increased surface roughness. In order to analyse their formation, the space- and time-resolved cutting front geometry and melt film thickness were captured during laser beam fusion cutting of 2 mm thick samples of aluminium with a framerate of 1000 Hz by means of high-speed synchrotron X-ray imaging. 
Red, yellow and white colored areas show the shape of the cutting front and cutting kerf; P = 1 kW, v = 1.75 m/min.
description: This research was supported by Precitec GmbH & Co. KG and Trumpf GmbH & Co. KG. The presented investigations were carried out in cooperation with DESY in Hamburg and with RWTH Aachen University within the framework of the Collaborative Research Centre SFB1120-236616214 “Bauteilpräzision durch Beherrschung von Schmelze und Erstarrung in Produktionsprozessen” and funded by the Deutsche Forschungsgemeinschaft e.V. (DFG, German Research Foundation). We acknowledge DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision of experimental facilities. Parts of this research were carried out at PETRA III and we would like to thank F. Beckmann and J. Moosmann for assistance in using P07 EH4. Beamtime was allocated for proposal I-20191140.The sponsorship and support is gratefully acknowledged.
DOI: 10.18419/darus-1824/1
title: Figure_3,6.avi

description: X-ray video of a laser beam cutting process in a 2 mm thick sheet of aluminium AlMg3. Red, yellow and white colored areas show the shape of the cutting front and cutting kerf; P = 1 kW, v = 1.75 m/min.
DOI: 10.18419/darus-1827/1
title: Data_for_Carbon_Materials_Paper_Vogler_Bruckner_Naumann_ACS_Applied_Nano_Materials_2021.rar
DOI: 10.18419/darus-1839
title: 3D CT-Data for KH05-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&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: gyro horizon
DOI: 10.18419/darus-1839/1
title: KH05-09.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-1840
title: 3D CT-Data for KH19-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&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: gyro horizon
DOI: 10.18419/darus-1840/1
title: KH19-09.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-1842
title: 3D CT-Data for KK25-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&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: attitude gyro
DOI: 10.18419/darus-1842/1
title: KK25-09.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-1843
title: 3D CT-Data for MFK02-09

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&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: magnetic compass, remote compass
DOI: 10.18419/darus-1843/1
title: MFK02-09.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-1844
title: 3D CT-Data for PL05/02-20

description: Research data (mostly *.hdf5 format) which was obtained by scanning the object via Computed Tomography and generating a 3D inside view of the object with non-invasive means.&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: inertial platforms
DOI: 10.18419/darus-1844/1
title: PL05_02-20.hdf5

description: 3D Voxelized volume
DOI: 10.18419/darus-2298
title: Scanning wind lidar dataset from the alpha ventus wind farm

description: In the nationally funded project ParkCast new methods for short-term power prediction for offshore wind farms will be developed, optimized and evaluated. The power forecasts focus on the time range up to 60 minutes with high temporal resolution. The aim is to significantly improve the temporal resolution and prediction quality of the park power in the above time range and thus contribute to grid stability and security of supply. &lt;br/&gt;
For this purpose, long-range lidar measurements were performed at the alpha ventus wind farm to measure the inflow and wake of the wind farm. The dataset contains wind measurement lidar data from March 2020 to March 2021 which was recorded on top of the nacelle of the AV04 turbine in the farm. The data is provided as hdf5 files with a time resolution of 1h per file. The hdf5 files are zipped month-wise. The lidar did not measure continuously due to e.g. maintenance work of the wind farm. Therefore the zipped files vary in size.
description: This dataset is part of the RAVE (Research at alpha ventus) dataset and is of confidential nature. In order to obtain the dataset a data user agreement has to be signed which is provided by the BSH (Bundesamt für Seeschiffart und Hydrographie). Once the agreement is signed access to the data set is provided with a URL link. Until then, the data files are not visible and only metadata is available. <br> <br>
Please send the user agreement to the following address: <br>
Bundesamt für Seeschifffahrt und Hydrographie (BSH) <br>
M23 RAVE <br>
Bernhard-Nocht-Straße 78 <br>
20359 Hamburg, Germany <br>
<br> In addition please also write a short message via the contact button of this data set, that you would like to have access to. Once the user agreement is at BSH you will then be granted access.
DOI: 10.18419/darus-2298/1
title: Lidar_on_AV04-min.JPG

description: Picture of lidar on AV04 turbine
DOI: 10.15468/dl.tb27hy
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 33",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003325-241107131044228/datasets/export for details.
DOI: 10.18419/darus-2325
title: Replication data of Kästner group for: "Tungsten Sulfido Alkylidene and Cationic Tungsten Sulfido Alkylidene N-Heterocyclic Carbene Complexes"

description: In this dataset, all simulation data are listed. That includes all geometry optimizations and single-point calculations including population analysis (Natural population analysis, Hirshfeld population analysis, CM5 population analysis). Additionally, the spreadsheet with the calculations of the partial charges of the fragments is listed.
description: The simulation dataset includes all geometry optimizations and population analyses. It is organized as follows: The file includes separate folders sorted by complex name.
DOI: 10.18419/darus-2325/1
title: calculations.tgz

description: The file includes all geometry optimizations and single-point energy calculations including all population analyses results and the calculation spreadsheet. It includes separate folders named after the complexes.
DOI: 10.18419/darus-2068
title: 3D Integrated Data of WK03-09

description: Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset.&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: rate gyro
DOI: 10.18419/darus-2068/1
title: WK03-09Integrated.ply
DOI: 10.18419/darus-2073
title: 3D Integrated Data of WZ06-09

description: Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset.&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: turn indicator
DOI: 10.18419/darus-2073/1
title: WZ06-09Integrated.ply
DOI: 10.18419/darus-2074
title: 3D Integrated Data of MÜ52-18

description: Dataset contains 3D Computer Tomography (CT) and Computer Vision (CV) integrated Data. The surface data was obtained by CV methods and the interior structure of the object via CT method. The aim was the integration of this data and can be found in this Dataset.&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: rate gyro
DOI: 10.18419/darus-2074/1
title: Mu52-18Integrated.ply
DOI: 10.5281/zenodo.14056615
title: JINOIY DAROMADLARNI LEGALIZATSIYA QILISH
DOI: 10.5281/zenodo.14056616
title: JINOIY DAROMADLARNI LEGALIZATSIYA QILISH
DOI: 10.18419/darus-2105
title: EnzymeML Metadata Block Configuration for Dataverse

description: &lt;p&gt;This dataset contains a TSV-File for the configuration of a metadata block for data repositories basing on &lt;a href="https://dataverse.org/" target=”_blank”&gt;Dataverse&lt;/a&gt;. The block helps to describe datasets with the concepts of the metadata scheme &lt;a href="https://enzymeml.org/" target=”_blank”&gt;EnzymeML&lt;/a&gt;, which is a data model provided to facilitate the documentation and exchange of enzymological and biocatalytic research data. To add a metadata block to a Dataverse installation use the &lt;a href="http://guides.dataverse.org/en/latest/admin/metadatacustomization.html#loading-tsv-files-into-dataverse" target=”_blank”&gt;instructions in the Dataverse Admin Guide&lt;/a&gt;.
&lt;/p&gt;
&lt;p&gt;
 The EnzymeML.tsv file specifies the following elements:
&lt;/p&gt;
&lt;ul&gt;
 &lt;li&gt;
 &lt;b&gt;Vessel&lt;/b&gt;
 &lt;ul&gt;
 &lt;li&gt;Name&lt;/li&gt;
 &lt;li&gt;Size&lt;/li&gt;
 &lt;li&gt;Unit&lt;/li&gt;
 &lt;li&gt;Constant&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;b&gt;Reactant&lt;/b&gt;
 &lt;ul&gt;
 &lt;li&gt;Name&lt;/li&gt;
 &lt;li&gt;Vessel&lt;/li&gt;
 &lt;li&gt;Initial Concentration&lt;/li&gt;
 &lt;li&gt;Substance Units&lt;/li&gt;
 &lt;li&gt;Constant&lt;/li&gt;
 &lt;li&gt;InChI&lt;/li&gt;
 &lt;li&gt;SMILES&lt;/li&gt;
 &lt;li&gt;SBO Term&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;b&gt;Protein&lt;/b&gt;
 &lt;ul&gt;
 &lt;li&gt;Name&lt;/li&gt;
 &lt;li&gt;Vessel&lt;/li&gt;
 &lt;li&gt;Initial Concentration&lt;/li&gt;
 &lt;li&gt;Substance Units&lt;/li&gt;
 &lt;li&gt;Constant&lt;/li&gt;
 &lt;li&gt;Sequence&lt;/li&gt;
 &lt;li&gt;Organism&lt;/li&gt;
 &lt;li&gt;UniProtID&lt;/li&gt;
 &lt;li&gt;EC Number&lt;/li&gt;
 &lt;li&gt;SBO Term&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;b&gt;Reaction&lt;/b&gt;
 &lt;ul&gt;
 &lt;li&gt;Name&lt;/li&gt;
 &lt;li&gt;Temperature Value&lt;/li&gt;
 &lt;li&gt;Temperature Unit&lt;/li&gt;
 &lt;li&gt;pH Value&lt;/li&gt;
 &lt;li&gt;Educts&lt;/li&gt;
 &lt;li&gt;Products&lt;/li&gt;
 &lt;li&gt;Modifiers&lt;/li&gt;
 &lt;li&gt;Reaction Equation&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;b&gt;Kinetic Law&lt;/b&gt;
 &lt;ul&gt;
 &lt;li&gt;Name&lt;/li&gt;
 &lt;li&gt;Reaction Reference&lt;/li&gt;
 &lt;li&gt;Equation&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
 &lt;li&gt;
 &lt;b&gt;Kinetic Parameter&lt;/b&gt;
 &lt;ul&gt;
 &lt;li&gt;Name&lt;/li&gt;
 &lt;li&gt;Value&lt;/li&gt;
 &lt;li&gt;Unit&lt;/li&gt;
 &lt;li&gt;SBO Term&lt;/li&gt;
 &lt;/ul&gt;
 &lt;/li&gt;
&lt;/ul&gt;
DOI: 10.18419/darus-2105/1
title: EnzymeML.tsv
DOI: 10.15468/dl.a7dw6z
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 18",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003326-241107131044228/datasets/export for details.
DOI: 10.18419/darus-2124
title: NMTVis - Extended Neural Machine Translation Visualization System

description: NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afterward, users can find mistranslated sentences, explore and correct these sentences and retrain the model to generate a better translation for the whole document. Our approach targets the correction of domain-specific documents. &lt;i&gt;This extended version of our visual analytics system provides additional visualization and interaction techniques as well as scripts for computer-based evaluation of our approach.&lt;/i&gt;
You can find important information about our system &lt;a href="https://github.com/MunzT/NMTVis/blob/nmtvis_v2.0/README.md"&gt;here&lt;/a&gt; and an introduction to our system &lt;a href="https://github.com/MunzT/NMTVis/blob/nmtvis_v2.0/INTRO.md"&gt;here&lt;/a&gt;.
description: You may find the most recent version of the source code on GitHub: https://github.com/MunzT/NMTVis
<br>
Trained models for translation from German to English and vice versa can be found here: https://doi.org/10.18419/darus-1850
DOI: 10.18419/darus-2124/1
title: nmtvis_v2.0.zip

description: Source code of our visual analytics system