cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27871752
title: <b>CBF_2023_2024_1512</b>: Efectos en los patrones de intercambio de agua entre océano y estuario producidos por zonas de máxima salinidad, oleaje y surgencias en regiones semiáridas

description: Repositorio de datos obtenidos a traves de los fondos otorgados por el CONAHCyT para el proyecto CBF-2023-2024-1512 titulado Efectos en los patrones de intercambio de agua entre océano y estuario producidos por zonas de máxima salinidad, oleaje y surgencias en regiones semiáridas. Estos datos tienen licencia CC BY que obliga a dar crédito al autor por cualquier uso que se le de a los datos.Se comparten los datos crudos como se obtienen de los instrumentos utilizados sin un procesamiento previo. El autor no es responsable de las interpretaciones que se les den a los datos compartidos.Cualquier duda comunicarse por correo electronico: braulio.juarez@uabc.edu.mx
DOI: 10.15468/dl.u3kee2
title: Occurrence Download

description: A dataset containing 2951 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Desmodus rotundus (E.Geoffroy, 1810)"
 ]
}

 The dataset includes 2951 records from 185 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011921-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wcqs3f
title: Occurrence Download

description: A dataset containing 21173 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer macrophyllum Pursh)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 21173 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011922-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pcu7yf
title: Occurrence Download

description: A dataset containing 947 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-65.35554 -25.1272,-64.56223 -25.1272,-64.56223 -24.49552,-65.35554 -24.49552,-65.35554 -25.1272))",
 "TaxonKey is Chlorostilbon lucidus (Shaw, 1812)"
 ]
}

 The dataset includes 947 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011924-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.njrgkh
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ammotrechella Roewer, 1934"
 ]
}

 The dataset includes 78 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011926-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fh2ydr
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus culminicola Andresen & Beaman"
 ]
}

 The dataset includes 428 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011925-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.usarj7
title: Occurrence Download

description: A dataset containing 2165 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Acer nigrum F.Michx.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 2165 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011927-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2h7d2
title: Occurrence Download

description: A dataset containing 470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is USGS ASC - Copper River Delta - Birds - 1997-2005",
 "Year is 1997"
 ]
}

 The dataset includes 470 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011928-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyxs97
title: Occurrence Download

description: A dataset containing 159854 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Solidago gigantea Aiton, Solidago gigantea subsp. leiophylla Fernald, Solidago pitcheri Nutt., Solidago serotina f. huntingdonensis Beaudry, Solidago sera J.F.Gmel., Solidago serotina f. serotina, Solidago glabra Desf., Solidago dumetorum Lunell, Solidago serotinoides Á.Löve & D.Löve, Solidago fragrans A.Gray, Solidago serotina var. serotina, Solidago serotina subsp. serotina, Solidago serotina var. minor Hook., Solidago somesii Rydb., Solidago serotina Aiton, Solidago serotina Kuntze, Solidago canadensis subsp. glabra, Solidago gigantea var. leiophylla Fernald, Aster latissimifolius var. serotinus Kuntze, Solidago cleliae DC., Solidago gigantea subsp. serotina (Kuntze) Mc Neill, Solidago gigantea subsp. gigantea, Solidago deflexa Moench, Solidago gigantea var. shinnersii Beaudry, Doria pitcheri (Nutt.) Lunell, Solidago gigantea var. pitcheri (Nutt.) Shinners, Solidago serotina var. gigantea (Aiton) A.Gray, Solidago serotina var. dumertorum (Aiton) A.Gray, Doria dumetorum (Lunell) Lunell, Doria dumerorum (Lunell) Lunell, Solidago gigantea subsp. serotina (Kuntze) McNeill, Solidago gigantea var. serotina (Kuntze) Cronquist, Solidago shinnersii (Beaudry) Beaudry)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 159854 records from 720 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011890-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u8yu7a
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((104.44012 37.79650,124.64918 37.79650,124.64918 45.89078,104.44012 45.89078,104.44012 37.79650))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lolium temulentum L."
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007840-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xxn5hz
title: Occurrence Download

description: A dataset containing 29364 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1995-2025"
 ]
}

 The dataset includes 29364 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007839-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28739171
title: Whole Exome Sequencing Data of Renal Tubulocystic Oncocytoma in the Left Kidney from a 59-Year-Old Female Patient

description: Design: After the DNA samples pass quality assessment, they undergo random fragmentation using ainvolve end repalr, A-talling, ligation of sequencing adapters, fragment size selection, PCR amplificatiorcompletion of the sequencing lilbrary preparation process. This results in the generation of the final DNSubmitted by: The Second Hospital of Dalian Medical UniversitySample: A 59-year-old female samples from left kidney.
DOI: 10.18419/darus-1231/7
title: 00004650.JPG
DOI: 10.18419/darus-1231/8
title: 00004653.JPG
DOI: 10.18419/darus-1231/9
title: 00004656.JPG
DOI: 10.18419/darus-1231/10
title: 00004654.JPG
DOI: 10.18419/darus-1231/11
title: 00004663.JPG
DOI: 10.18419/darus-1231/12
title: 00004662.JPG
DOI: 10.18419/darus-1231/13
title: 00004660.JPG
DOI: 10.18419/darus-1231
title: 2D pictures of KR20/2-20

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: gyro rotor
DOI: 10.18419/darus-1231/14
title: 00004659.JPG
DOI: 10.18419/darus-1805/1
title: sqlite-images.sql
DOI: 10.18419/darus-1805/2
title: sqlite-schema.sql
DOI: 10.18419/darus-1805/3
title: generate-sqlite-db.sh
DOI: 10.18419/darus-1805/4
title: muse-small.db
DOI: 10.18419/darus-1805/5
title: sqlite-data.sql
DOI: 10.18419/darus-1805/6
title: generate-sqlite-db-small.sh
DOI: 10.18419/darus-1805/7
title: backup-users.sql
DOI: 10.18419/darus-1805/8
title: backup-images.sql
DOI: 10.18419/darus-1805/9
title: backup-data.sql
DOI: 10.18419/darus-1805/10
title: backup-schema.sql
DOI: 10.18419/darus-1805/11
title: DB Schema Overview.pdf

description: Übersicht der Tabellen der MUSE Datenbank. Die Übersicht ist bei einzelnen Tabellen nicht aktuell.
DOI: 10.18419/darus-1805/12
title: backup-screenshots.sql

description: Copyright protected film screenshots.
DOI: 10.18419/darus-1805/13
title: README.pdf

description: Kurzbeschreibung der Daten und Anleitung zum Importieren der Daten.
DOI: 10.18419/darus-1805
title: MUSE Datenset

description: Datensatz des MUSE Projekts:&lt;br&gt;
MUSE hat zum Ziel, Konventionen, die sich im Film entwickelt haben, um mittels Filmkostümen beispielsweise Stereotypen, Charaktereigenschaften, etc. zu kommunizieren, zu identifizieren und diese als eine Mustersprache für Kostüme darzustellen um das Verständnis filmisch vestimentärer Kommunikation zu schärfen.&lt;br&gt;
Siehe: &lt;a href="https://www.iaas.uni-stuttgart.de/forschung/projekte/muse/"&gt;MUSE Projekt Webseite&lt;/a&gt;
description: Es wurden 60 Filme aus 3 Genres - je 20 Filme aus jedem Genre - ausgewählt. Die 3 Genres (Western, High-School Komödie und Märchen) wurden wegen ihrem typischerweise relativ festen Figureninventar ausgewählt.<br>
<br>
Die Filme innerhalb der Genres wurden mit dem Ziel ausgewählt einen Filmkorpus zu komponieren, der von einem möglichst breitem Publikum gesehen wurde und dadurch auch potenziell Einfluss auf die Mediensozialisation hat. Dazu wurden Filmrankings und Boxoffice-Zahlen aus verschiedenen Quellen ausgewertet. Für die Genrezuteilung der Filme wurden mehrere Quellen korreliert, um Unschärfen im Genrebegriff zu begegnen.
description: Um eine bessere Vergleichbarkeit der Daten zu gewährleisten wurde den Data Collectors jeweils die selbe Fassung des Films digital zur Verfügung gestellt. Zusätzlich gab es eine Anleitung, wie der VLC Media Player für die Auswertung eingestellt werden soll. Um die Datenqualität zu gewährleisten wurde im 4-Augen-Prinzip vorgegangen: Jeder Film wurde erst erfasst und dann komplett noch ein mal korrigiert.
description: Das Datenset besteht aus mehreren SQL Dateien, die erst in eine SQL Datenbank wie MariaDB, MySQL oder eine SQLite Datenbank importiert werden müssen bevor sie verwendet werden können. Zusätzlich enthält das Datenset auch eine fertige SQLite Datenbank (/sqlite/muse-small.db) die mit Tools wie dem DB Browser for SQLite (https://sqlitebrowser.org) geöffnet werden kann. Mit dem DB Browser for SQLite lassen sich die einzelnen Datenbanktabellen auch einfach als CSV oder JSON exportieren. Das Format wurde gewählt um die Verbindungen zwischen den Datenbanktabellen zu erhalten. Bei einem Export, z.B. nach CSV, würden diese wichtigen Informationen verloren gehen.
Die einzelnen Dateien des Datensatzes sind im README.pdf (bzw. auch im REDME.md) auf Deutsch und Englisch genauer beschrieben. Dort ist auch eine kurze Anleitung zum Importieren der Daten in eine vorhandene Datenbank zu finden. Zusätzlich gibt es mit der Datei „DB Schema Overview.pdf“ eine Übersicht über alle Datenbanktabellen.
Anmerkung: Der Datensatz enthält zwei Filme ohne inhaltlich relevante Daten („1.setr“ und „1.yx“), die zum Testen des MUSE-Repositoriums genutzt werden, und fünf Versionen der gleichen kurzen Sequenz aus dem Film „Bad teacher“ (als „Bad teacher Test 1-5“ betitelt), die zur experimentellen Abschätzung wie weit sich die erfassten Daten unterschiedlicher Erfasser*innen unterscheiden genutzt werden.
Zugriff auf die Screenshots kann aufgrund des Urheberrechts nur auf Anfrage zu Forschungszwecke gewährt werden.
DOI: 10.18419/darus-1805/14
title: README.md

description: Kurzbeschreibung der Daten und Anleitung zum Importieren der Daten.
DOI: 10.18419/darus-4166/1
title: 0-80b.tab
DOI: 10.18419/darus-4166/2
title: 0-30b.tab
DOI: 10.18419/darus-4166/3
title: 0-80a.tab
DOI: 10.18419/darus-4166/4
title: 0-50b.tab
DOI: 10.18419/darus-4166/5
title: 0-0c.tab
DOI: 10.18419/darus-4166/6
title: 0-30c.tab
DOI: 10.18419/darus-4166/7
title: 0-50c.tab
DOI: 10.18419/darus-4166/8
title: 0-50a.tab
DOI: 10.18419/darus-4166/10
title: 0-0a.tab
DOI: 10.18419/darus-4166/9
title: 0-30a.tab
DOI: 10.18419/darus-4166/11
title: 0-0b.tab
DOI: 10.18419/darus-4166
title: Replication Data for: Structural development of a novel punctually supported timber building system for multi-storey construction
title: Experimental Data: Tension Tests of the Edge Connection

description: This dataset contains the experimental data of the tension tests of a stepped 3-layer Cross-Laminated Timber (CLT) connection that is described in the related publication. The dataset contains load and displacement values. The stepped edge connection is tested for different horizontal connection angles: 0, 30, 50 and 80 degrees. Three specimen (a, b, c) are tested per connection angle.
DOI: 10.18419/darus-4166/12
title: 0-80c.tab
DOI: 10.18419/darus-4185/1
title: vectors.py
DOI: 10.18419/darus-4185/2
title: base.py
DOI: 10.18419/darus-4185/3
title: vectors_numpy.py
DOI: 10.18419/darus-4185/4
title: data.npz
DOI: 10.18419/darus-4185/5
title: base.py
DOI: 10.18419/darus-4185/6
title: implicit_midpoint.py
DOI: 10.15468/dl.d2sc9x
title: Occurrence Download

description: A dataset containing 2060767 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "PublishingOrg is one of (28eb1a3f-1c15-4a95-931a-4af90ecb574d, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f)",
 "TaxonKey is Insecta",
 "Year 2016-2023"
 ]
}

 The dataset includes 2060767 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006819-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4185/7
title: rcSVD.py
DOI: 10.18419/darus-4185/8
title: wave_2D_model.py
DOI: 10.18419/darus-4185/9
title: dyn_sys.py
DOI: 10.18419/darus-4185/10
title: README.md
DOI: 10.18419/darus-4185/11
title: Analysis_rcSVD_experiments.py
DOI: 10.18419/darus-4185/12
title: plot_results.py
DOI: 10.18419/darus-4252/1
title: aplvoro_deb.zip

description: APL@Voro debian distribution
DOI: 10.18419/darus-4252/2
title: debian.zip

description: Debian Destribution
DOI: 10.18419/darus-4252/3
title: rpm.zip

description: RPM Distribution
DOI: 10.18419/darus-4252/4
title: src.zip

description: APL@Voro source files
DOI: 10.18419/darus-4252/5
title: README.md

description: README file with general information about APL@Voro
DOI: 10.18419/darus-4252/6
title: build_linux.sh

description: Build file for linux
DOI: 10.18419/darus-4252/7
title: aplvoro-3.3.3-1.x86_64.rpm

description: Pre-build rpm package
DOI: 10.18419/darus-4252/8
title: .gitignore

description: Gitignore File
DOI: 10.18419/darus-4252/9
title: aplvoro_3.3.3_x64.deb

description: Pre-build debian package
DOI: 10.18419/darus-4252/10
title: GPL_v3.txt

description: License text
DOI: 10.18419/darus-4252/11
title: .pc.zip

description: Patches
DOI: 10.18419/darus-4252
title: Research Data: "APL@voro—interactive visualization and analysis of cell membrane simulations"

description: Here, we summarise available data and source code regarding the publication "APL@voro—interactive visualization and analysis of cell membrane simulations". &lt;br&gt;
&lt;b&gt; Abstract &lt;/b&gt; &lt;br&gt;
Molecular dynamics (MD) simulations of cell membranes allow for a better understanding of complex processes such as changing membrane dynamics, lipid rafts and the incorporation/passing of macromolecules into/through membranes. To explore and understand cell membrane compositions, dynamics and processes, visual analytics can help to interpret MD simulation data. APL@Voro is a software for the interactive visualization and analysis of cell membrane simulations. Here, we present the new APL@Voro, which has been continuously developed since its initial release in 2013. We discuss newly implemented algorithms, methodologies and features, such as the interactive comparison of related simulations and methods to assign lipids to either the upper or lower leaflet.

The software is available open-source at: http://aplvoro.com/. &lt;br&gt;
Additional information regarding this dataset can be found in the &lt;a href="https://darus.uni-stuttgart.de/file.xhtml?fileId=299493"&gt;README.md&lt;/a&gt;.
DOI: 10.18419/darus-4252/12
title: Documentation – APL@Voro.pdf

description: Documentation and build instructions for APL@Voro
DOI: 10.18419/darus-4255/1
title: tasks.tar.gz

description: Downloaded datasets, with restricted access for copyright reasons.
DOI: 10.6084/m9.figshare.27645876
title: Multi-year average climatic regimes in the Alaskan Arctic, 2007-2012

description: We mainly focused on climatology during 2007–2012 because air temperature, precipitation, and snow data were avail- able for many more stations during that period. To ensure a robust inter-comparison among these stations, the climatology for each variable was calculated for all stations with at least 5 years of available records during 2007–2012. This dataset includes:Tair: surface air temperature (deg C)Snod: snow depth (m)Prec: precipitation (mm)Please cite our paper: Wang, K., Zhang, T. Revisiting climatic features in the Alaskan Arctic using newly collected data. <i>Theor Appl Climatol</i> <b>143</b>, 1251–1259 (2021). https://doi.org/10.1007/s00704-020-03495-8
DOI: 10.6084/m9.figshare.27645876.v1
title: Multi-year average climatic regimes in the Alaskan Arctic, 2007-2012

description: We mainly focused on climatology during 2007–2012 because air temperature, precipitation, and snow data were avail- able for many more stations during that period. To ensure a robust inter-comparison among these stations, the climatology for each variable was calculated for all stations with at least 5 years of available records during 2007–2012. This dataset includes:Tair: surface air temperature (deg C)Snod: snow depth (m)Prec: precipitation (mm)Please cite our paper: Wang, K., Zhang, T. Revisiting climatic features in the Alaskan Arctic using newly collected data. <i>Theor Appl Climatol</i> <b>143</b>, 1251–1259 (2021). https://doi.org/10.1007/s00704-020-03495-8
DOI: 10.18419/darus-4255/2
title: main_no_results.tar.gz

description: Benchmark results data for meta-train and meta-test benchmarks. Contains result summaries (enough for plotting) but not the detailed results.
DOI: 10.18419/darus-4255/3
title: results_small.tar.gz

description: Results folder (within the data folder) without extra results (predictions on the datasets, optimal hyperparameters).
DOI: 10.18419/darus-4255/4
title: CatBoost-HPO_steps.tar.gz
DOI: 10.18419/darus-4255/5
title: LGBM-HPO_steps.tar.gz
DOI: 10.18419/darus-4255/6
title: MLP-RTDL-HPO_steps.tar.gz
DOI: 10.18419/darus-4255/7
title: main_results.tar.gz

description: Detailed results, including predictions on datasets and best parameters, for all main methods. This excludes the data for individual hyperparameter optimization (HPO) steps, which is provided separately.
DOI: 10.18419/darus-4255/8
title: RealMLP-HPO_steps.tar.gz
DOI: 10.18419/darus-4255/9
title: XGB-HPO_steps.tar.gz
DOI: 10.18419/darus-4255/10
title: grinsztajn_results.csv.gz

description: Results on the Grinsztajn et al. (2022) benchmark.
DOI: 10.18419/darus-4255/11
title: grinsztajn_benchmarking_code.zip

description: Code for running the Grinsztajn. et al (2022) benchmark with our models.
DOI: 10.18419/darus-4255/12
title: pytabkit_code.zip

description: Contains the code for running the meta-train and meta-test benchmarks, as well as an implementation of the models evaluated on these benchmarks. Also contains instructions in README.md as well as the documentation.
DOI: 10.18419/darus-863/1
title: knot_values_cwar.xlsx

description: Excel containing the localized clear wood area ratios (CWAR). The relation with the knot area ratio (KAR) is: CWAR = 1 - KAR
DOI: 10.18419/darus-863/2
title: moe_corrected_u12.xlsx

description: Excel file containing global and localized MOE measurements of all studied boards. Values corrected for MC=12%.
DOI: 10.18419/darus-863/3
title: densities_corrected_u12.xlsx

description: Excel file containing global and localized density measurements. Values corrected for MC=12%
DOI: 10.18419/darus-863/4
title: moe_local_corrected_u12.tab

description: Measured localized modulus of elasticity (cells 100 mm in length) of the oak boards, corrected to a 12% moisture content.
DOI: 10.18419/darus-863/5
title: moe_global_corrected_u12.tab

description: Measured global modulus of elasticity of the oak boards, corrected to a 12% moisture content.
DOI: 10.18419/darus-863/6
title: densities_local_u12.tab

description: Measured localized density of the oak boards, corrected to a 12% moisture content. Missing values are denoted with "0".
DOI: 10.18419/darus-863/7
title: densities_global_u12.tab

description: Measured global density of the oak boards, corrected to a 12% moisture content.
DOI: 10.18419/darus-863/8
title: board_grading.xlsx

description: Grade assignment of each board according to DIN 4074-5 (2008)
DOI: 10.18419/darus-863/9
title: board_grading.tab

description: Grade assignment of each board according to DIN 4074-5 (2008)