cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-3554
title: Measured hydrometeorologic data
title: Data used to calculate energy balance at atmosphere - subsurface interface

description: &lt;p&gt;Solving the energy balance at the atmosphere-subsurface interface drives heat input (in the summer) into the subsurface. We use this subsequently to calculate heat transport and water flow into the subsurface and then to calculate temperature s around drinking-water supply pipes.&lt;br&gt;
This data is from the weather station of the University of Stuttgart.&lt;/p&gt;

&lt;p&gt;We are providing the measured Boundary Conditions, needed to compute the interface boundary conditions:
&lt;ul&gt;
 &lt;li&gt;long wave radiation incoming&lt;/li&gt;
 &lt;li&gt;short wave radiation incoming&lt;/li&gt;
 &lt;li&gt;air temperature in 2 m above ground&lt;/li&gt;
 &lt;li&gt;wind velocity in 2 m above ground&lt;/li&gt;
 &lt;li&gt;relative humidity in 2 m above ground&lt;/li&gt;
 &lt;li&gt;precipitation intensity&lt;/li&gt;
&lt;/ul&gt;
Data is given tabulated, a &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=238770"&gt;readme-file&lt;/a&gt; explains the column names.
DOI: 10.18419/darus-3554/2
title: readme.txt
DOI: 10.18419/darus-3555/1
title: pilot_site_data.tab
DOI: 10.18419/darus-3555
title: Measurements of soil temperatures and moisture content

description: &lt;p&gt;These measurements are taken in the subsurface at the pilot site next to the weather station of the University of Stuttgart and used to calibrate and validate our pde-based model.&lt;/p&gt;

The subsurface has been instrumented with 64 temperature sensors, 8 soil moisture sensors. There are four locations, having different soil and soil cover layers. Soil moisture is measured at 60 cm and 100 cm depth, Temperature at 30, 60, 75, 100 cm. At drinking water pipe location, there are two sensors. Column description is to be found in a &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=238774"&gt;readme.txt&lt;/a&gt; file
DOI: 10.18419/darus-3555/2
title: readme_pilot_site_data.txt
DOI: 10.18419/darus-3597/1
title: graphvqa_parameters.7z

description: Pretrained model parameters
DOI: 10.18419/darus-3597
title: Model Parameters and Evaluation Data for our Visual Analysis System for Scene-Graph-Based Visual Question Answering

description: Pretrained model parameters and pregenerated evaluation data for our visual analysis system for scene-graph-based visual question answering (&lt;a href="https://doi.org/10.18419/darus-3589"&gt;https://doi.org/10.18419/darus-3589&lt;/a&gt;).
description: You may find the source code of our visual analytic system here or the most recent version of the system on GitHub: https://github.com/Noeliel/GraphVQA-Explorer
<br>
There are also instructions available where to place the individual files to be used by the system.
DOI: 10.18419/darus-3597/2
title: evaluation_data.7z

description: Pregenerated evaluation data
DOI: 10.18419/darus-3652
title: Dataset: Two Heat Pumps Simulation - Raw, 1000 Data Points

description: This data set serves as training data for modelling the temperature field emanating from two groundwater heat pumps (one fixed, one randomly placed). It is simulated with Pflotran and saved in h5 format. It contains 1000 data points, each consisting of one simulation run until a near steady state is reached. Each datapoint measures 1250 m x 2560 m with 250 x 512 cells. The varying parameters of the data set are pressure and permeability. Both are constant within a data point, but vary across the data set. Other parameters that define the data set, such as porosity, are chosen to be as close as possible to reality. &lt;br&gt;
Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122. &lt;br&gt;
Generated with scripts from &lt;a href="https://github.com/JuliaPelzer/Dataset-generation-with-Pflotran"&gt;Dataset generation with Pflotran&lt;/a&gt; (commit 94daf52) with arguments given in inputs/args.yaml.
DOI: 10.18419/darus-3664/1
title: 13C_Catalyst_NMR_Data.zip
DOI: 10.18419/darus-3664
title: Data for "Betainic and ionic tungsten (VI) imido alkylidene N-heterocyclic olefin complexes"

description: This dataset provides 1H and 13C NMR raw data for the isolable catalysts W2, W5, W6 and W7 described in the publication "Betainic and ionic tungsten (VI) imido alkylidene N-heterocyclic olefin complexes".
DOI: 10.18419/darus-3664/2
title: 1H_Catalyst_NMR_Data.zip
DOI: 10.18419/darus-3669/1
title: data.tgz

description: In this dataset, all structures (*.xyz) and input-files (*.chm) are listed. The dataset includes a README file with more detailed instructions on how to understand the data.
DOI: 10.18419/darus-3669/2
title: README.md
DOI: 10.18419/darus-2995/1
title: uamds-core-0.0.2-jar-with-dependencies.jar

description: All-in-one Java library .jar file. Contains compiled classes, their .java sources, and dependency libraries.
DOI: 10.15468/dl.p5nqwc
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 21",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003360-241107131044228/datasets/export for details.
DOI: 10.18419/darus-2995/2
title: uamds-src.tar.gz

description: Tarball archive containing the Java project with build and readme files.
DOI: 10.18419/darus-3012/1
title: install.sh

description: installation script
DOI: 10.18419/darus-3012
title: Source Code for: Flow in Porous Media with Fractures of Varying Aperture

description: Python source code to replicate the results in [S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication, &lt;a href="
https://doi.org/10.48550/arXiv.2207.09301"&gt;
https://doi.org/10.48550/arXiv.2207.09301&lt;/a&gt;].&lt;br&gt;
The contained Python package "mmdgpy" is an implementation of interior penalty discontinuous Galerkin (dG) schemes in 2D and 3D for flow in porous media governed by Darcy's law. It provides a full-dimensional dG scheme for bulk problems and various mixed-dimensional dG schemes for problems in fractured porous media. Fractures are represented by one-codimensional interfaces. A spatially varying fracture aperture is possible. More details can be found in the &lt;a href="https://github.com/maximilianhoerl/mmdgpy/blob/paper/README.md"&gt;README.md&lt;/a&gt;.
description: <b>Repository</b>: https://github.com/maximilianhoerl/mmdgpy/tree/paper<br>

<b>Installation</b>: The installation script <i>install.sh</i> installs the "mmdgpy" Python package and its dependencies in a Python virtual environment. Download the package <i>mmdgpy.tar.gz</i> and run the installation script via <code>source install.sh</code>.<br>
Alternatively, you can follow the instructions in the README.md.
DOI: 10.18419/darus-3012/2
title: mmdgpy.tar.gz

description: source code
DOI: 10.18419/darus-3104
title: Supplemental Material for Uncertainty-Aware Multidimensional Scaling

description: This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling". 
Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear dimensionality reduction technique for sets of random vectors.

This dataset consists of a PDF document that contains a detailed mathematical derivation for the normal distribution UAMDS algorithm, and additional visualizations.
DOI: 10.18419/darus-3104/1
title: uamds-supplemental-material.pdf

description: Supplemental material containing the mathematical derivation of the stress term and gradient of UAMDS for normal distributions. Also contains additional figures.
DOI: 10.18419/darus-3104/2
title: additional-figures.tar.gz

description: Archive containing the image files of the additional figures.
DOI: 10.18419/darus-3144/1
title: VisDataPolicies_2.1.xlsx
DOI: 10.18419/darus-3144
title: "Research Data Curation in Visualization : Position Paper" (Data)

description: Here, we make available the supplemental material regarding data collection from the publicaiton "Research Data Curation in Visualization : Position Paper". The dataset represents an aggregated collection of the data policies of selected publication venues in the areas of visualization, computer graphics, software, HCI, and Virtual Reality with inclusions from multimedia, collaboration, and network visualization, for the years 2021-2022. Based on a derived index, long-term preservation and data sharing are evaluated for each venue. The index ranges from &lt;i&gt;No policy&lt;/i&gt; to &lt;i&gt;Required sharing and preservation&lt;/i&gt;. Additionally the verbatim statements (or the lack thereof) used to reach the concluded score are also provided.

&lt;p&gt;&lt;b&gt;Abstract&lt;/b&gt;: Research data curation is the act of carefully preparing research data and artifacts for sharing and long-term preservation. Research data management is centrally implemented and formally defined in a data management plan to enable data curation. In tandem, data curation and management facilitate research repeatability. In contrast to other research fields, data curation and management in visualization are not yet part of the researcher’s compendium. In this position paper, we discuss the unique challenges visualization faces and propose how data curation can be practically realized. We share eight lessons learned in managing data in two large research consortia, outline the larger curation workflow, and define the typical roles. We complement our lessons with minimum criteria for selecting a suitable data repository and five challenging scenarios that occur in practice. We conclude with a vision of how the visualization research community can pave the way for new curation standards.&lt;/p&gt;
description: Data collection methodology and sources are also described inside the Excel (.xlsx) data file.
DOI: 10.18419/darus-3144/2
title: VisDataPolicies_2.1.tab

description: File coverted from "VisDataPolicies_2.1.xlsx".
DOI: 10.18419/darus-3150/1
title: spec.json

description: Machine-readable description file
DOI: 10.18419/darus-3150
title: CSI Dataset dichasus-cf1x-part1: Distributed Antenna Setup in Industrial Environment, Day 2, First Part
title: Radio channel measurements generated by DICHASUS

description: Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json).

Distributed antenna setup with line-of-sight (LoS) and non-line-of-sight (NLoS) channels, measured in the &lt;a href="https://www.arena2036.de/"&gt;Arena2036&lt;/a&gt; research factory campus environment.
DOI: 10.18419/darus-3150/2
title: dichasus-cf12.tfrecords

description: The robot takes a similar circular trajectory multiple times, sometimes alternating between two paths.
DOI: 10.18419/darus-3714/1
title: exaFOAM-B2.tar.gz

description: The current data-set includes the CFD mesh and a snapshot of the DDES flow solution (restart files), obtained after discarding 1 second of the transient part.
DOI: 10.18419/darus-3714
title: exaFOAM Industrial Benchmark B2 - Unsteady primal and adjoint solution around the TME CHR car

description: This work is part of the exaFOAM project that aims to enable the open-source CFD software OpenFOAM to exploit massively parallel HPC architectures and overcome performance scaling bottlenecks. This benchmark represents an industrial application of the unsteady optimization infrastructure of OpenFOAM, using the Toyota CHR car geometry. When used with unsteady flows, the adjoint equations are integrated backwards in time, requiring the instantaneous flow fields to be available at each time-step of the adjoint solver, which noticeably increases storage requirements in large-scale problems. To avoid extreme treatments, such as the full storage of the computed flow fields or their recomputations from scratch during the solution of the adjoint equations and to reduce the re-evaluation overhead incurred by the widely used check-pointing technique, lossy compression techniques were implemented into the adjointOptimisation library of OpenFOAM, during the exaFOAM project. The re-computation cost is reduced by efficiently compressing the entire compressed flow series and storing it in memory. The current data-set includes the CFD mesh and a snapshot of the DDES flow solution (restart files), obtained after discarding 1 second of the transient part. Detailed information and case setup can be found in the README.md file contained in the case setup file.
description: exaFOAM, v2206
description: The case setup in DaRUS is a snapshot (commit 19c20ed19436e844001b8fa24e39ea42f3fbf552) from the code repository of the OpenFOAM High Performance Computing Technical Committee https://develop.openfoam.com/committees/hpc/-/tree/develop/incompressible/adjointOptimisationFoam/TMECar
DOI: 10.18419/darus-3714/2
title: B2_case_setup.tgz

description: B2 case setup and readme file with instructions for execution.
DOI: 10.18419/darus-3744/1
title: pitzDaily3D_62M_restartFields.tar.gz

description: Fields of a developed flow for the case with 62 million cells.
DOI: 10.15468/dl.vfndjv
title: Occurrence Download

description: A dataset containing 370971 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Robinia pseudoacacia L."
 ]
}

 The dataset includes 370971 records from 3014 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003312-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x7qzya
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Laemonema goodebeanorum Meléndez C. & Markle, 1997",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 213 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078437-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5pgy9
title: Occurrence Download

description: A dataset containing 953 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Circaetus beaudouini J.Verreaux & Des Murs, 1862",
 "HasCoordinate is True",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2021",
 "Month is greater than or equal to January",
 "Month is less than or equal to December",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 953 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0338920-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4mfbat
title: Occurrence Download

description: A dataset containing 15457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-102.75879 22.53962,-96.02051 22.53962,-96.02051 28.9729,-102.75879 28.9729,-102.75879 22.53962))",
 "TaxonKey is Cactaceae",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 15457 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011723-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ea5q3k
title: Occurrence Download

description: A dataset containing 3638 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-78.42041 0.54931,-54.0028 0.54931,-54.0028 12.56636,-77.67434 12.56636,-78.42041 12.56636,-78.42041 0.54931))",
 "HasCoordinate is true",
 "TaxonKey is Ara ararauna (Linnaeus, 1758)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3638 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004112-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.md79yv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kumba calvifrons Iwamoto & Sazonov, 1994",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0078427-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mm4uer
title: Occurrence Download

description: A dataset containing 184 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dischistodus darwiniensis (Whitley, 1928)"
 ]
}

 The dataset includes 184 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0060297-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x5fmfe
title: Occurrence Download

description: A dataset containing 1261 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Vicia sativa subsp. amphicarpa (Dorthes) Asch.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1261 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018213-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6lgqm
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agave salmiana var. salmiana"
 ]
}

 The dataset includes 66 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005045-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.on6n2z
title: Occurrence Download

description: A dataset containing 5988 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhizophora apiculata Blume"
 ]
}

 The dataset includes 5988 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004116-191105090559680/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.urk6ku
title: Occurrence Download

description: A dataset containing 13979 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chromolaena odorata (L.) R.M.King & H.Rob.",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 13979 records from 283 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036080-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mbwqg4
title: Occurrence Download

description: A dataset containing 1379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Oophaga histrionica (Berthold, 1845)"
 ]
}

 The dataset includes 1379 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038150-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7u2ryr
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Croatia",
 "TaxonKey is Galeorhinus galeus (Linnaeus, 1758)"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051932-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hg6nwj
title: Occurrence Download

description: A dataset containing 525262 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 {
 "or" : [
 "Country is Norway",
 "Country is Poland",
 "Country is France",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Country is Belgium",
 "Country is Portugal",
 "Country is Ireland",
 "Country is Spain",
 "Country is Sweden",
 "Country is Denmark",
 "Country is Andorra"
 ]
 },
 {
 "or" : [
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate rounded"
 ]
 },
 "Year 1995-2016",
 "TaxonKey is Chloris chloris (Linnaeus, 1758)"
 ]
}

 The dataset includes 525262 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018207-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnobkd
title: Occurrence Download

description: A dataset containing 6942 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnophilus bridgesi P.L.Sclater, 1856"
 ]
}

 The dataset includes 6942 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005045-180730143533302/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2d8bvv
title: Occurrence Download

description: A dataset containing 18891292 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Unknown evidence",
 "BasisOfRecord is Material sample"
 ]
 },
 "Geometry POLYGON((-19.33594 19.47031,-19.6875 12.37605,-9.84375 2.27752,5.97656 2.27752,9.84375 -9.28257,8.78906 -20.80378,16.52344 -37.02572,26.71875 -37.58499,37.61719 -23.08621,43.94531 -13.75956,42.1875 -4.39725,52.38281 5.08393,54.14062 14.08713,44.64844 16.1235,33.39844 31.19738,16.875 37.01448,2.46094 39.76936,-10.19531 37.01448,-19.33594 19.47031))",
 "TaxonKey is Passeriformes",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 18891292 records from 186 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011722-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcpgpy
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Archaea",
 "DecimalLatitude is greater than 43.86234914317",
 "DecimalLatitude is less than 45.3765053424856",
 "DecimalLongitude is greater than -111.535936400431",
 "DecimalLongitude is less than -109.445594426693"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005045-180824113759888/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.