cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-1213
title: 2D pictures of SO60/1-20

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-1213/6
title: 00004004.JPG
DOI: 10.18419/darus-3364/1
title: Newtonsoft.Json.dll
DOI: 10.18419/darus-3364/2
title: RDF_oM.dll
DOI: 10.18419/darus-3364/3
title: VDS.Common.dll
DOI: 10.18419/darus-3364/4
title: RDF_Engine.dll
DOI: 10.18419/darus-3364/5
title: dotNetRDF.dll
DOI: 10.18419/darus-3364
title: BHoM to bhOWL converter

description: The dataset is the release version v2.0.0 of the BHoM to bhOWL converter, which helps convert BHoM data to a knowledge graph in any software BHoM supports. 

BHoM (The Buildings and Habitats object Model) is collaborative framework that runs within several AEC design software, which helps to represent data in a object oriented database model. 

OWL (Web Ontology Language) provides a standardized and expressive language for representing knowledge and relationships within a domain. It allows for the creation of ontologies, which are formal descriptions of the concepts and relationships within a domain. Additionally, OWL can support reasoning and inference over ontologies, allowing for automated reasoning about the relationships between different concepts and data elements. This can be particularly useful in identifying inconsistencies or gaps in data, or in suggesting additional data sources or mappings that may be needed to support integration efforts.

Our BHoM to bhOWL converter is developed as an extension to BHoM framework, and runs within any software that BHoM supports (eg. Grasshopper 3D, Excel, etc.)
 
The dataset contains also example Grasshopper 3D files that exemplify the process of converting BHoM data to bhOWL.
DOI: 10.18419/darus-3364/6
title: SourceCode_BHoM_to_bhOWL_Converter.zip
DOI: 10.15468/dl.a5ez89
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon xeranthemum Mart."
 ]
}

 The dataset includes 103 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006785-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-3365/1
title: data.xlsx

description: Contains all processed measurement data for publication
DOI: 10.18419/darus-3365/2
title: EMA.tab

description: data in csv format representing EMA tab in .xslx file
DOI: 10.18419/darus-3365/3
title: bending.tab

description: data in csv format representing bending tab in .xslx file
DOI: 10.18419/darus-3365/4
title: ratios normal-parallel.tab

description: data in csv format representing ratios normal-parallel tab in .xslx file
DOI: 10.18419/darus-3365/5
title: bending-mean.tab

description: data in csv format representing bending-mean tab in .xslx file
DOI: 10.18419/darus-3365/6
title: EMA-mean.tab

description: data in csv format representing EMA-mean tab in .xslx file
DOI: 10.18419/darus-3377/1
title: LWSA_mm.txt

description: Lake Water Storage Anomaly in mm
The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header.
DOI: 10.18419/darus-3377/2
title: TWSA_mm.txt

description: Total Drainable Water Storage Anomaly in mm
The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header.
DOI: 10.18419/darus-3377/3
title: WWSA_mm.txt

description: Wetland Water Storage Anomaly in mm
The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header.
DOI: 10.18419/darus-3377/4
title: DWSA_mm.txt

description: Drainable Water Storage Anomaly in mm
The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header.
DOI: 10.18419/darus-3377/5
title: Discharge_mm_per_month.txt

description: River Discharge in mm/month. The data is structured in column format with the first column being year, second column month and then third column the Congo basin and from fourth column on Congo sub-basins as indicated in the header.
DOI: 10.18419/darus-3377
title: Data for: Current availability and distribution of Congo basin's freshwater resources

description: The Congo Basin is of global significance for biodiversity and the water and carbon cycles. However, its freshwater availability remains highly unknown. Here, we leverage two decades of satellite and in situ observations to develop a new method that characterizes the relationship between Drainable Water Storage Anomaly (DWSA) and river discharge across the entire basin. We obtain DWSA by subtracting spaceborne estimates of the Lake Water Storage Anomaly (LWSA) and the Wetland Water Storage Anomaly (WWSA) from the Total Water Storage Anomaly (TWSA) of GRACE. We then rely on the relationship between DWSA and discharge at the outlet of a basin, which can be described as a linear, time-independent system. Such a linear relationship allows the estimation of the active water storage in the basin, or the corresponding storage point at which storage-induced discharge approaches zero. This level, in turn, operationally defines the Total Drainable Water Storage (TDWS) of a basin.
DOI: 10.18419/darus-3377/6
title: mTWSA.txt

description: mean monthly Total Water Storage Anomaly in m for half degree grid celthe over the Congo Basin. The data is structured in column format with the first column being latitude, second column longitude. From column 3 to column 14 mean monthly Total Water Storage Anomaly values in m are reported for Jan. Feb. Mar. Apr. May Jun. Jul. Aug. Sep. Oct. Nov. Dec., respectively
DOI: 10.18419/darus-3516/1
title: INCAR

description: INCAR file for VASP which was used for calculations
DOI: 10.18419/darus-3516/2
title: read_npz.py

description: script which demonstrates the fields in npz files
DOI: 10.18419/darus-3516/3
title: NPZ_in_distribution_splits.zip

description: training data with 10 cross-validation split, in npz format
DOI: 10.18419/darus-3516/4
title: NPZ_out_of_distribution.zip

description: testing data in NPZ format
DOI: 10.18419/darus-3516/5
title: CFG_in_distribution_splits.zip

description: training data with 10 cross-validation split, in cfg format
DOI: 10.18419/darus-3516
title: Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems

description: Data for the publication "Performance of two complementary machine-learned potentials in modelling chemically complex systems", npj. Comp. Mat.

&lt;p&gt;This data set contains
&lt;ul&gt;
&lt;li&gt;the datasets of structures in cfg and npz formats&lt;/li&gt;
&lt;li&gt;INCAR file which was used for VASP calculations&lt;/li&gt;
&lt;li&gt;python script for reading npz format&lt;/li&gt;
&lt;/ul&gt;

These are essentially the 2-, 3-, and 4-component configurations (converted from OUTCARs) used to train families of machine-learning potentials. 

Data contains both 0K and finite-T structures of Ta-V-Cr-W subsystems, approx. 6000 configurations in total. 

The "in-distribution" data has 10 splits onto training/testing parts (in 80%/20% proportion), for the cross-validation tests. 

The "out-of-distribution" data is not split, it is used only for testing the accuracy.
DOI: 10.18419/darus-3516/6
title: CFG_out_of_distribution.zip

description: testing data in cfg format
DOI: 10.18419/darus-3881/1
title: training_set.xlsx
DOI: 10.18419/darus-3881/2
title: test_data.xlsx
DOI: 10.18419/darus-3881/3
title: binary_classification.ipynb
DOI: 10.18419/darus-3881/4
title: regression.ipynb
DOI: 10.18419/darus-3881/5
title: multiclass_classification.ipynb
DOI: 10.18419/darus-3881
title: Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle: Datasets and ML codes

description: The datasets and codes provided here are associated with our article entitled "Data-driven analysis of structural instabilities in electroactive polymer bilayers based on a variational saddle-point principle". The main idea of the work is to develop surrogate models using the concepts of machine learning (ML) to predict the onset of wrinkling instabilities in dielectric elastomer (DE) bilayers as a function of its tunable geometric and material parameters. The required datasets for building the surrogate models are generated using a finite-element-based framework for structural stability analysis of DE specimens that is rooted in a saddle-point-based variational principle. For a detailed description of this finite-element framework, the sampling of data points for the training/test sets and some brief notes regarding our implementation of the ML-based surrogates, kindly refer to our article mentioned above.&lt;br/&gt;&lt;br/&gt;

Here, the datasets 'training_set.xlsx' and 'test_set.xlsx' contain the values of the critical buckling load (critical electric-charge density) and critical wrinkle count for the DE bilayer for the sampled data points, where each data point represents a unique set of four tunable input-feature values. The article above provides a description of these features, their physical units and their considered domain of values. The individual Jupyter notebooks import the training dataset and develop ML models for the different problems that are described in the article. The developed models are cross-validated and then tested on the test dataset. Extensive comments describing the ML workflow have been made in the notebooks for the user's reference. The conda environment containing all the necessary packages and dependencies for the execution of the Jupyter notebooks is provided in the file 'de_instabilities.yml'.
description: FEAP, 8.3
description: MATLAB, R2021b
description: Python, 3.9.12
DOI: 10.18419/darus-3881/6
title: de_instabilities.yml
DOI: 10.18419/darus-458/1
title: DPPIV.tab

description: DPPIV (human dipeptidyl peptidase IV) spreadsheet of Supplements01-1.xlsx as csv
DOI: 10.18419/darus-458/2
title: HEP.tab

description: HEP (human epoxide hydrolase) spreadsheet of Supplements01-1.xlsx as csv
DOI: 10.18419/darus-458/3
title: HPL.tab

description: HPL (human pancreatic lipase) spreadsheet of Supplements01-1.xlsx as csv
DOI: 10.18419/darus-458/4
title: PSML.tab

description: PSML (Pseudomonas sp. MIS38 lipase) spreadsheet of Supplements01-1.xlsx as csv
DOI: 10.18419/darus-458/5
title: RCE.tab

description: RCE (Rhodococcus sp. MB1 cocaine esterase) spreadsheet of Supplements01-1.xlsx as csv
DOI: 10.18419/darus-458/6
title: APAP.tab

description: APAP (acylaminoacyl peptidase from Aeropyrum pernix K1) spreadsheet of Supplements01-1.xlsx as csv
DOI: 10.18419/darus-458/7
title: Supplements01-1.xlsx

description: This file contains the data of the Dali analysis with the additional N- and C-terminal module of the indicated proteins. Column A-H show the result from the Dali analysis. All found structures were additionally analyzed by PyMOL to determine whether they belong to the α/β-hydrolase family and the result is indicated by y/n in column I.
DOI: 10.18419/darus-864/1
title: global_tensile_strength.tab

description: Global tensile strength values for each board. Units: [MPa]
DOI: 10.18419/darus-864/2
title: local_tensile_strengths.tab

description: Localized tensile strength data for the cells of each board. Missing (censored) values are denoted with "NaN". Units: [MPa]
DOI: 10.18419/darus-864/3
title: censored_analysis_data_all.tab

description: Tensile strength values for each cell of every board along with indicator variable to signalize censorship. The global MOE (MOEG) is listed as regression variable. Data for all boards. MOE3: average of the three maximum MOE values of the board (not used for this specific analysis). Units: [MPa].
DOI: 10.18419/darus-864/4
title: censored_analysis_data_sub.tab

description: Tensile strength values for each cell of every board along with indicator variable to signalize censorship. Subset LS10+LS10 boards. The global MOE (MOEG) is listed as regression variable. Data for all boards. MOE3: average of the three maximum MOE values of the board (not used for this specific analysis). Units: [MPa].
DOI: 10.18419/darus-864/5
title: board_simulation.tar.gz

description: Scripts used for the simulation of tensile strength and modulus of elasticity profiles along boards.
DOI: 10.18419/darus-864/6
title: survival_analysis.tar.gz

description: Scripts used for the survival analysis of the localized tensile strength along boards.
DOI: 10.18419/darus-864
title: Replication Data for: Survival analysis of tensile strength variation and simulated length-size effect along oak boards

description: &lt;p&gt;Dataset used to develop and calibrate the model for localized tensile strength along oak boards.&lt;br&gt;
A survival (or censored) analysis is performed on the cell-wise tensile strength of boards, which delivers coefficients for two different candidate distributions: (i) Beta and (ii) 3-parameter Weibull distributions. For both distributions, a parametric and a regression analyses are made.&lt;/p&gt;

&lt;p&gt;The calibrated model is used to simulate tensile strength and modulus of elasticity (MOE) profiles along boards of different sizes. These virtual boards are then used to simulate the size effect of the studied boards.&lt;/p&gt;

The localized tensile strength was obtained by first testing the board in tension until failure. The remnant pieces were then tested in tension again. This allowed to obtain between 1 and 4 tensile strength values per board. Since for the testing in tension a certain length has to be clamped, there are sectors of the board that cannot be tested, as they are within the clamped region. These regions are considered as censored data.
DOI: 10.18419/darus-864/7
title: survival_analysis_julia.tar.gz

description: This repository contains the source code and data used for the survival analysis and size effect simulation of oak boards with the Julia programming language. Instructions on how to use the code can be found in the Readme.md file inside the container.
DOI: 10.18419/darus-1029/1
title: 01_DSC00150.tif
DOI: 10.18419/darus-1029/2
title: 03_DSC00160.tif
DOI: 10.18419/darus-1029/3
title: 02_DSC00153.tif
DOI: 10.18419/darus-1029/4
title: 07_DSC00182.tif
DOI: 10.18419/darus-1029/5
title: 06_DSC00176.tif
DOI: 10.18419/darus-1029/6
title: 05_DSC00173.tif
DOI: 10.18419/darus-1029
title: 2D pictures of KK17/1-09

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: directional gyro
DOI: 10.18419/darus-1029/7
title: 04_DSC00166.tif
DOI: 10.18419/darus-1130/1
title: sourceCode.zip

description: Java source code of the analysis system
DOI: 10.18419/darus-1130/2
title: exampleData.zip

description: Example dataset that was recorded with two different eye trackers; it can be loaded into the analysis system
DOI: 10.18419/darus-1130/3
title: materials.zip

description: Additional information about Go
DOI: 10.18419/darus-1130/4
title: application.png

description: Screenshot of the analysis system
DOI: 10.18419/darus-1130/5
title: release.zip

description: Executable files of the analysis system
DOI: 10.18419/darus-1130/6
title: README.md

description: Information about the analysis system
DOI: 10.15468/dl.rdm9au
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eriocaulon depauperatum Merr."
 ]
}

 The dataset includes 14 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006787-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1130/7
title: demo.zip

description: Video demonstrating the features of the system
DOI: 10.18419/darus-1367/1
title: 04_DSC07388.tif
DOI: 10.18419/darus-1367/2
title: 03_DSC07384.tif
DOI: 10.18419/darus-1367/3
title: 01_DSC07365.tif
DOI: 10.18419/darus-1367/4
title: 07_DSC07408.tif
DOI: 10.18419/darus-1367/5
title: 05_DSC07393.tif
DOI: 10.18419/darus-1367/6
title: 06_DSC07398.tif
DOI: 10.18419/darus-1367
title: 2D pictures of Bohnenberger Maschine

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: attitude gyro
DOI: 10.18419/darus-1367/7
title: 02_DSC07380.tif
DOI: 10.18419/darus-1679/1
title: W20.zip
DOI: 10.18419/darus-1679/2
title: Katzuweisung.txt
DOI: 10.18419/darus-1679/3
title: W7 W8 W15 W16.zip
DOI: 10.18419/darus-1679/4
title: NMR Experiments.zip
DOI: 10.18419/darus-1679/5
title: W19.zip
DOI: 10.18419/darus-1679/6
title: pure compounds.zip
DOI: 10.18419/darus-1679
title: Data for "Cationic Tungsten Alkylidyne N‐Heterocyclic Carbene Complexes: Synthesis and Reactivity in Alkyne Metathesis"

description: All primary data files and processed data of the journal article from &lt;a href="https://dx.doi.org/10.1002/ejic.202000503"&gt;Buchmeiser group&lt;/a&gt;. Productivities in alkyne metathesis reactions (Paper, Table 1) was examined via gas-chromatography / mass spectrometry analysis and can be found in the GC-MS data folder. Novel complexes were examined via NMR spectroscopy and the spectra can be found in NMR data -&gt; pure compounds. The NMR folder also contains NMR experiments mentioned in the paper and shown in the Supplementary Information. All crystal data mentioned in the paper can be found in the related datasets.
description: W1 - W20 are the complexes described in the paper. Details about the methods used are mentioned in the experimental section in the paper. NMR spectra were processed with MestreNova. GC-MS data was processed with Agilent MassHunter. Catalysts in GC-MS were grouped in this way, because the same stock solutions were used with these catalysts (e.g. PH212-216), which is why the blank sample is the same.
DOI: 10.18419/darus-1679/7
title: W5 + W6.zip
DOI: 10.18419/darus-2060/1
title: KK02_09_Scaled_Transformed_refine.ply
DOI: 10.18419/darus-2060/2
title: KK02_09_Integrated.ply
DOI: 10.18419/darus-2060/3
title: KK02_09_Scaled_Transformed.ply
DOI: 10.18419/darus-2060/4
title: ParameterRecord.docx
DOI: 10.15468/dl.v5zgde
title: Occurrence Download

description: A dataset containing 773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((117.78874 19.67032,122.23396 21.72196,123.46792 26.6578,120.15258 26.62807,119.06729 25.70631,118.1014 24.30174,117.78874 19.67032))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Artemisia capillaris Thunb."
 ]
}

 The dataset includes 773 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006789-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.