cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25574/csc2.obs.16267
title: Chandra X-ray Observatory ObsId 16267

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.20815
title: Chandra X-ray Observatory ObsId 20815

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.22635
title: Chandra X-ray Observatory ObsId 22635

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.2cm8f6
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Specimen, Living Specimen, Occurrence evidence)",
 "Continent is Africa",
 "Country is one of (Kenya, Ethiopia)",
 "Geometry POLYGON((35.17332 0.09358,42.71958 0.43437,43.30381 5.29538,41.3077 9.39876,35.10431 9.1623,35.63739 5.72704,35.17332 0.09358))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Panthera pardus (Linnaeus, 1758)",
 "Year 1950-2025"
 ]
}

 The dataset includes 108 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010465-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.24235
title: Chandra X-ray Observatory ObsId 24235

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.9s69v9
title: Occurrence Download

description: A dataset listing the 4414 species recorded in GBIF matching the query:
{
 "and" : [
 "GbifRegion is Latin America and the Caribbean",
 "Geometry POLYGON((-75.56392 6.24548,-75.35277 6.24811,-75.31997 6.43365,-75.50277 6.42929,-75.56392 6.24548))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset's 4414 records were derived from 140 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010436-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.22552
title: Chandra X-ray Observatory ObsId 22552

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.24240
title: Chandra X-ray Observatory ObsId 24240

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.20424
title: Chandra X-ray Observatory ObsId 20424

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.12958
title: Chandra X-ray Observatory ObsId 12958

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.24855
title: Chandra X-ray Observatory ObsId 24855

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.7qcw6s
title: Occurrence Download

description: A dataset containing 110 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alcelaphus buselaphus swaynei (P.L.Sclater, 1892)"
 ]
}

 The dataset includes 110 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010468-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.05782
title: Chandra X-ray Observatory ObsId 05782

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17503
title: Chandra X-ray Observatory ObsId 17503

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.18610
title: Chandra X-ray Observatory ObsId 18610

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.04874
title: Chandra X-ray Observatory ObsId 04874

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.24965
title: Chandra X-ray Observatory ObsId 24965

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.17888
title: Chandra X-ray Observatory ObsId 17888

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.08172
title: Chandra X-ray Observatory ObsId 08172

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.24512
title: Chandra X-ray Observatory ObsId 24512

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.92uy59
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Côte d’Ivoire",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Parkia biglobosa (Jacq.) R.Br. ex G.Don",
 "Year 2000-2025"
 ]
}

 The dataset includes 9 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010467-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.02823
title: Chandra X-ray Observatory ObsId 02823

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.20522
title: Chandra X-ray Observatory ObsId 20522

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.09414
title: Chandra X-ray Observatory ObsId 09414

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.e53wuv
title: Occurrence Download

description: A dataset containing 9669 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prunus americana Marshall"
 ]
}

 The dataset includes 9669 records from 468 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010469-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33b9j7
title: Occurrence Download

description: A dataset containing 211 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Annona neoinsignis H.Rainer"
 ]
}

 The dataset includes 211 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010470-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.21956
title: Chandra X-ray Observatory ObsId 21956

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.15468/dl.k97ejy
title: Occurrence Download

description: A dataset containing 22943 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prosopis juliflora (Sw.) DC."
 ]
}

 The dataset includes 22943 records from 412 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010466-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/csc2.obs.00525
title: Chandra X-ray Observatory ObsId 00525

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.03128
title: Chandra X-ray Observatory ObsId 03128

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.25574/csc2.obs.04750
title: Chandra X-ray Observatory ObsId 04750

description: CSC uses combined (i.e. overlapping) Chandra observations for detecting X-ray sources. This allows the catalog to include significantly fainter sources than CSC 1.1. The set of overlapping observations that have been combined in this way is known as a "stack".
DOI: 10.18419/darus-4089
title: Replication Code for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures

description: This dataset consists of software code associated with the publication titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes a Dockerimage that contains the precompiled code for immediate use. For transparency, the Dockerfile is also provided.&lt;/br&gt;
&lt;div class="box"&gt;
 &lt;div class="number"&gt;1&lt;/div&gt;
 &lt;strong&gt;Download the Dataset:&lt;/strong&gt;
 &lt;p&gt;Download the compressed Dockerimage &lt;code&gt;wrr_image.tar&lt;/code&gt; directly.&lt;/p&gt;
 &lt;p&gt;If you want to inspect the Dockerimage, you can have a look at the associated Dockerfile first. Inside the Dockerfile one will find an instance of git which is privately hosted and not guaranteed to be hosted forever. Source code can also be inspected inside the docker container.&lt;/p&gt;
&lt;/div&gt;

&lt;div class="box"&gt;
 &lt;div class="number"&gt;2&lt;/div&gt;
 &lt;strong&gt;Load Docker Image:&lt;/strong&gt;
 &lt;p&gt;Load the Docker image from the provided tar.xz file.&lt;/p&gt;
 &lt;pre&gt;&lt;code&gt;docker load --input wrr_image.tar&lt;/code&gt;&lt;/pre&gt;
&lt;/div&gt;

&lt;div class="box"&gt;
 &lt;div class="number"&gt;3&lt;/div&gt;
 &lt;strong&gt;Run Docker Container:&lt;/strong&gt;
 &lt;p&gt;Run the Docker container with appropriate volume mounts.&lt;/p&gt;
 &lt;pre&gt;&lt;code&gt;docker run -v $(pwd)/share/:/home/wrr_user/code/simulations/run/customBoussinesq/share -it wrr_image&lt;/code&gt;&lt;/pre&gt;
 &lt;p&gt;It might be that the image is called slightly differently for instance wrr_image:latest , one needs to check the terminal output.&lt;/p&gt;
 &lt;p&gt;This command mounts the &lt;code&gt;share&lt;/code&gt; directory from your current host directory into the container's &lt;code&gt;/home/wrr_user/code/simulations/run/customBoussinesq/share&lt;/code&gt; directory. This allows you to move simulation results outside of the container by moving the results into the share folder.&lt;/p&gt;
&lt;/div&gt;

&lt;div class="box"&gt;
 &lt;div class="number"&gt;4&lt;/div&gt;
 &lt;strong&gt;Running Computations:&lt;/strong&gt;
 &lt;p&gt;The container is precompiled with necessary resources.&lt;/p&gt;
 &lt;ul&gt;
 &lt;li&gt;You can either submit bash scripts to the cluster scheduler or use the &lt;code&gt;Allrun&lt;/code&gt; scripts inside the cases. Move to the desired case and type &lt;code&gt;./Allrun 4&lt;/code&gt; to run with 4 cores.&lt;/li&gt;
 &lt;li&gt;Note that the computations are resource-intensive and may not work on a local machine, even with an appropriate number of cores set.&lt;/li&gt;
 &lt;/ul&gt;
&lt;/div&gt;
description: OpenFOAM, v22.12
DOI: 10.18419/darus-4089/2
title: wrr_image.tar
DOI: 10.18419/darus-4101/1
title: 3DSaliency.zip

description: 3D Saliency dataset and Three.js based web application
DOI: 10.15468/dl.8v8es2
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 38",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003375-241107131044228/datasets/export for details.
DOI: 10.18419/darus-4101
title: Saliency3D: A 3D Saliency Dataset Collected on Screen (Dataset and Experiment Application)
title: Saliency3D

description: While visual saliency has recently been studied in 3D, the experimental setup for collecting 3D saliency data can be expensive and cumbersome. To address this challenge, we propose a novel experimental design that utilizes an eye tracker on a screen to collect 3D saliency data. Our experimental design reduces the cost and complexity of 3D saliency dataset collection. We first collect gaze data on a screen, then we map them to 3D saliency data through perspective transformation. Using this method, we collect a 3D saliency dataset (49,276 fixations) comprising 10 participants looking at sixteen objects. Moreover, we examine the viewing preferences for objects and discuss our findings in this study. Our results indicate potential preferred viewing directions and a correlation between salient features and the variation in viewing directions.&lt;br&gt;
The files of this dataset are documented in &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=286364"&gt;README.md&lt;/a&gt;.
DOI: 10.18419/darus-4101/2
title: README.md

description: Readme
DOI: 10.18419/darus-4116/1
title: Scenario1.mp4
DOI: 10.18419/darus-4116
title: Simulation Results from the Descriptive Graph-based Model of two Example Driving Scenarios

description: Video of the interior and exterior information of a driving scenario, with the resulting graph-based description. The video shows a combination of exterior data of a driving scenario in combination with information about the drivers eyegaze. 

On the right side a resulting graph-based model is depicted which combines the states that are relevant for vehicle safety applications.
DOI: 10.18419/darus-4116/2
title: Scenario2.mp4
DOI: 10.18419/darus-4121/1
title: loadBalancedChemisty-v2306.tar.gz

description: Compressed tar archive of the Git code repository.

Decompress with tar -xf loadBalancedChemisty-v2306.tar.gz
DOI: 10.18419/darus-4121/2
title: README.md
DOI: 10.18419/darus-1187/1
title: S1_Trun_0_3.mp4

description: Trajectory for run and tumble motion with average run length 0.3
DOI: 10.15468/dl.ztgyug
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bassaricyon neblina Helgen, Pinto, Kays, Helgen, Tsuchiya, Quinn, Wilson & Maldonado, 2013",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 193 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003374-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1187/2
title: S2_Trun_3_7.mp4

description: Trajectory for run and tumble motion with average run length 3.7
DOI: 10.18419/darus-1187
title: Bacterial Trajectory Videos

description: Videos showing simulation of bacteria in a channel. The trajectories are generated using custom code for the Espresso simulation software (http://espressomd.org/)
DOI: 10.18419/darus-1187/3
title: S3_Trun_21.mp4

description: Trajectory for run and tumble motion with average run length 21
DOI: 10.6084/m9.figshare.27633126
title: Metagenomics of the Iberian Margin: the deep subsurface at IODP Site U1385. Fasta sequence files for the metagenome-assembled genomes (MAGs).

description: Subsurface sediment collected from IODP Site U1385 of the Iberian Margin was examined via metagenomics.
DOI: 10.15468/dl.2g9j7e
title: Occurrence Download

description: A dataset containing 401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thamnocalamus spathiflorus (Trin.) Munro"
 ]
}

 The dataset includes 401 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003376-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1216/1
title: 00004015.JPG
DOI: 10.6084/m9.figshare.27633126.v1
title: Metagenomics of the Iberian Margin: the deep subsurface at IODP Site U1385. Fasta sequence files for the metagenome-assembled genomes (MAGs).

description: Subsurface sediment collected from IODP Site U1385 of the Iberian Margin was examined via metagenomics.
DOI: 10.18419/darus-1216/2
title: 00004017.JPG
DOI: 10.18419/darus-1216
title: 2D pictures of SO62-20

description: &lt;p&gt;Dataset contains all pictures (.jpg; .arw) 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: miscellaneous
DOI: 10.18419/darus-1216/3
title: 00004016.JPG
DOI: 10.18419/darus-1217/1
title: 00004020.JPG
DOI: 10.18419/darus-1217/2
title: 00004019.JPG
DOI: 10.5518/1298
title: Data for Design of experiments in the optimization of all-cellulose composites

description: In this work, statistical design of experiments (DoE) was applied to the optimization of all cellulose composites (ACCs) using cotton textile and interleaf films under applied heat and pressure. The effects of dissolution temperature, pressure and time on ACC mechanical properties were explored through a full factorial design (23) and later optimized using Response Surface Methodology (RSM). It was found that the experimental design was effective at revealing the underlying relationship between Young’s modulus and processing conditions, identifying optimum temperature and time settings of 101 °C and 96.8 minutes respectively, to yield a predicted Young’s modulus of 3.3 GPa. This was subsequently validated through the preparation of in-lab test samples which were found to exhibit a very similar Young’s modulus of 3.4 ± 0.2 GPa, confirming the adequacy of the predictive model. Additionally, the optimized samples had an average tensile strength and peel strength of 72 ± 2 MPa and 811 ± 160 N/m respectively, as well as a favorable density resulting from excellent consolidation within the material microstructure. This work highlights the potential of DoE for future ACC process understanding and optimization, helping to bring ACCs to the marketplace as feasible material alternatives.