cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18419/darus-4426
title: Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR

description: Supplemental Material for the paper titled: " Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR" accepted for presentation at the ASSETS'24 conference.
The structure of the folder is as following:
&lt;pre&gt;
&lt;code&gt;
.
└── avatars
 |── base avatars # base avatars generated with ReadyPlayerMe
 |── inclusive avatars # base avatars combined with disability signifiers
 |── scripts # scripts to generate avatars and instructions
 
└── data
 |── figure data # figure data for the correlation matrix and the CI Plots for additional accessibility
└── questionnaires
 |── recruitment questions # questions asked in the recruitment phase
 |── study questions # questions asked during the diary study period
 |── concluding questions # questions after the diary study period
 |── interview questions # interview protocol
└── README.md # this file
&lt;/code&gt;
DOI: 10.15468/dl.x2k6sa
title: Occurrence Download

description: A dataset containing 302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gossypium herbaceum L."
 ]
}

 The dataset includes 302 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028489-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkxugq
title: Occurrence Download

description: A dataset containing 470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Androsace tapete Maxim."
 ]
}

 The dataset includes 470 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028490-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-2995
title: Source Code for Uncertainty-Aware Multidimensional Scaling

description: &lt;p&gt;This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language.&lt;br&gt;
UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space, e.g. 1D, 2D or 3D for visualization.&lt;/p&gt;

This dataset only contains the core components for performing UAMDS without any accompanying visualization techniques.
DOI: 10.15468/dl.2ayedk
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Deschampsia elongata (Hook.) Munro"
 ]
}

 The dataset includes 64 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028493-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmf89w
title: Occurrence Download

description: A dataset containing 3390 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ipomoea nil (L.) Roth"
 ]
}

 The dataset includes 3390 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028492-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q58svr
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Saussurea wellbyi Hemsl."
 ]
}

 The dataset includes 71 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028494-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wr7yuy
title: Occurrence Download

description: A dataset containing 66195 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Argasidae, Ixodidae)"
 ]
}

 The dataset includes 66195 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007207-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4352
title: CSI Dataset espargos-0001: Four antenna arrays in indoor lab room
title: WiFi radio channel measurements generated by ESPARGOS

description: &lt;p&gt;Dataset containing WiFi channel state information (CSI) alongside ground truth data (position tags, timestamps) measured with ESPARGOS antenna arrays. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json).&lt;/p&gt;

Four antenna arrays are pointed at a small measurement area in a lab room. Only line-of-sight channels.
DOI: 10.15468/dl.ppstxr
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Carex hohxilensis (R.F.Huang) S.R.Zhang"
 ]
}

 The dataset includes 76 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028495-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4255
title: Code and Data for: Better by default: Strong pre-tuned MLPs and boosted trees on tabular data

description: This dataset contains code and data for our paper "Better by default: Strong pre-tuned MLPs and boosted trees on tabular data". The main code is provided in pytabkit_code.zip and contains further documentation in README.md and the docs folder. The main code is also provided on &lt;a href=https://github.com/dholzmueller/pytabkit&gt;GitHub&lt;/a&gt;. Here, we additionally provide the data that is generated by the code as well as the plots. See the documentation in docs/source/bench/download_results.md in the main code for instructions on how/when to download which data. The code for the Grinsztajn et al. (2022) benchmark is provided in grinsztajn_benchmarking_code.zip and on &lt;a href=https://github.com/LeoGrin/tabular-benchmark/tree/better_by_default&gt;GitHub&lt;/a&gt;.
DOI: 10.15468/dl.vxyswt
title: Occurrence Download

description: A dataset containing 288 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Carex montis-everestii Kük."
 ]
}

 The dataset includes 288 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028496-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y4hzw
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Leiotulus secacul (Mill.) Pimenov & Ostr."
 ]
}

 The dataset includes 139 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028497-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.27925878
title: Supplementary Information

description: A series of extra experiment and simulation supporting this manuscript.
DOI: 10.60893/figshare.apl.27925878.v1
title: Supplementary Information

description: A series of extra experiment and simulation supporting this manuscript.
DOI: 10.18419/darus-4188
title: UNITE Toolbox

description: &lt;h1 id="unite-toolbox"&gt;UNITE Toolbox&lt;/h1&gt;
&lt;h3 id="unified-diagnostic-evaluation-of-scientific-models-based-on-information-theory"&gt;Unified diagnostic evaluation of scientific models based on information theory&lt;/h3&gt;
&lt;p&gt;The &lt;strong&gt;UNITE Toolbox&lt;/strong&gt; is a Python library for incorporating &lt;em&gt;Information Theory&lt;/em&gt;
into data analysis and modeling workflows.
The toolbox collects different methods of estimating information-theoretic quantities
in one easy-to-use Python package.
Currently, UNITE includes functions to calculate entropy &lt;em&gt;H(X)&lt;/em&gt;,
Kullback-Leibler divergence &lt;MATH&gt;D_{KL}(p||q)&lt;/MATH&gt;, and mutual information &lt;em&gt;I(X; Y)&lt;/em&gt;,
using three methods:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Kernel density-based estimation (KDE)&lt;/li&gt;
&lt;li&gt;Binning using histograms&lt;/li&gt;
&lt;li&gt;&lt;em&gt;k&lt;/em&gt;-nearest neighbor-based estimation (&lt;em&gt;k&lt;/em&gt;-NN)&lt;/li&gt;
&lt;/ul&gt;
&lt;h2 id="darus"&gt;DaRUS&lt;/h2&gt;
&lt;p&gt;This is the &lt;em&gt;DaRUS&lt;/em&gt; archive for the UNITE toolbox. This archive is currently in version &lt;em&gt;0.1.9&lt;/em&gt; which is the latest version as of 13.05.2024. This archive will be updated semi-regularly. Check the &lt;a href="https://github.com/manuel-alvarez-chaves/unite_toolbox"&gt;Github repository&lt;/a&gt; for the latest version.&lt;/p&gt;
&lt;h2 id="installation"&gt;Installation&lt;/h2&gt;
&lt;p&gt;Although the code is still highly experimental and in very active development,
a release version is available on PyPI and can be installed using &lt;code&gt;pip&lt;/code&gt;.&lt;/p&gt;
&lt;pre&gt;&lt;code&gt;pip &lt;span class="hljs-keyword"&gt;install&lt;/span&gt; unite_toolbox
&lt;/code&gt;&lt;/pre&gt;&lt;p&gt;Check the &lt;code&gt;pyproject.toml&lt;/code&gt; for requirements.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Note&lt;/strong&gt;: &lt;code&gt;pip&lt;/code&gt; will install the latest version which might not exactly match this archive.&lt;/p&gt;
&lt;h2 id="how-to"&gt;How-to&lt;/h2&gt;
&lt;p&gt;In the &lt;a href="https://unite-toolbox.readthedocs.io/"&gt;documentation&lt;/a&gt; please find
&lt;a href="https://unite-toolbox.readthedocs.io/en/latest/tutorials.html"&gt;tutorials&lt;/a&gt; on
the general usage of the toolbox and some applications.&lt;/p&gt;
DOI: 10.15468/dl.7kk7jf
title: Occurrence Download

description: A dataset containing 166 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Kengyilia thoroldiana (Oliv.) J.L.Yang, C.Yen & B.R.Baum"
 ]
}

 The dataset includes 166 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028499-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2f4ap
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acomys minous Bate, 1906"
 ]
}

 The dataset includes 80 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028501-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.99fkqv
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Elymus aristiglumis (Keng & S.L.Chen) S.L.Chen"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028500-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.27913392
title: Supplemental Materials

description: Supplemental Materials
DOI: 10.15468/dl.rq5vau
title: Occurrence Download

description: A dataset containing 581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Poa attenuata Trin."
 ]
}

 The dataset includes 581 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028502-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60893/figshare.apl.27930993
title: Supplementary Materials

description: Computational methods; Possible sites for single atom supported on substrates; The Eb of Th atom supported on different sites and a single M atom supported on substrates; Diffusing energy barriers and FPMD of U atom on the GDY; The PDOS and CDD of Th@sub and U@sub; Adsorption energies (Eads), and distances (dN≡N); The ∆G profiles of Th@sub; The M−N bond distances; Schematics of electron donation-backdonation mechanism; The PDOS of the Ce@GN4; Structures, Bader charges, and CDD graph of three moieties for the NxHy adsorbed on U@GN4.
DOI: 10.60893/figshare.apl.27930993.v1
title: Supplementary Materials

description: Computational methods; Possible sites for single atom supported on substrates; The Eb of Th atom supported on different sites and a single M atom supported on substrates; Diffusing energy barriers and FPMD of U atom on the GDY; The PDOS and CDD of Th@sub and U@sub; Adsorption energies (Eads), and distances (dN≡N); The ∆G profiles of Th@sub; The M−N bond distances; Schematics of electron donation-backdonation mechanism; The PDOS of the Ce@GN4; Structures, Bader charges, and CDD graph of three moieties for the NxHy adsorbed on U@GN4.
DOI: 10.15156/bio/sh1109626.10fu
title: SH1109626.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109627.10fu
title: SH1109627.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109630.10fu
title: SH1109630.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109631.10fu
title: SH1109631.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109632.10fu
title: SH1109632.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109633.10fu
title: SH1109633.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109634.10fu
title: SH1109634.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1109636.10fu
title: SH1109636.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.