cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0179245.10fu
title: SH0179245.10FU

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/sh0179246.10fu
title: SH0179246.10FU

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/sh0179247.10fu
title: SH0179247.10FU

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/sh0179248.10fu
title: SH0179248.10FU

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/sh0179249.10fu
title: SH0179249.10FU

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/sh0179250.10fu
title: SH0179250.10FU

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/sh0179251.10fu
title: SH0179251.10FU

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/sh0179252.10fu
title: SH0179252.10FU

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/sh0179253.10fu
title: SH0179253.10FU

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/sh0179254.10fu
title: SH0179254.10FU

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: 10.15468/dl.lkoifs
title: Occurrence Download

description: A dataset containing 2877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Wikstroemia Endl.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2877 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007813-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swu2rf
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Koilodepas calycinum Bedd."
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037402-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uf9ddp
title: Occurrence Download

description: A dataset containing 8527 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Global Register of Introduced and Invasive Species - United States (Contiguous) (ver.2.0, 2022)"
 ]
}

 The dataset includes 8527 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017205-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ptkut4
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lanonia hainanensis (A.J.Hend., L.X.Guo & Barfod) A.J.Hend. & C.D.Bacon"
 ]
}

 The dataset includes 32 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037423-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fphxt
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aerangis monantha Schltr."
 ]
}

 The dataset includes 32 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017218-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wynt07
title: Occurrence Download

description: A dataset containing 189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chiranthodendron pentadactylon Larreat."
 ]
}

 The dataset includes 189 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007813-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ney3qu
title: Occurrence Download

description: A dataset containing 63 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kengyilia kokonorica (Keng) J.L.Yang, C.Yen & B.R.Baum"
 ]
}

 The dataset includes 63 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037430-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yzoxi
title: Occurrence Download

description: A dataset containing 4727603 species occurrences available in GBIF matching the query:
{
 "PublishingCountry" : [
 "is Colombia"
 ]
}

 The dataset includes 4727603 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007813-160822134323880/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.36sju2
title: Occurrence Download

description: A dataset containing 158 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aerangis macrocentra (Schltr.) Schltr."
 ]
}

 The dataset includes 158 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017214-240216155721649/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvy7fz
title: Occurrence Download

description: A dataset containing 1072548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((10.58670799806848 40.92226156946407, 10.58670799806848 51.75700516880109, -10.173017805596453 51.75700516880109, -10.173017805596453 40.92226156946407, 10.58670799806848 40.92226156946407))",
 "EventDate is 2014-09-01,2014-09-30"
 ]
}

 The dataset includes 1072548 records from 1377 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044833-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-1322/3
title: 00001069.JPG
DOI: 10.18419/darus-1322/4
title: 00001067.JPG
DOI: 10.18419/darus-1322/5
title: 00001063.JPG
DOI: 10.18419/darus-1322/6
title: 00001076.JPG
DOI: 10.18419/darus-1322/7
title: 00001078.JPG
DOI: 10.18419/darus-1322/8
title: 00001072.JPG
DOI: 10.18419/darus-1322/9
title: 00001074.JPG
DOI: 10.18419/darus-1322/10
title: 00001083.JPG
DOI: 10.18419/darus-1322/11
title: 00001084.JPG
DOI: 10.18419/darus-1322/12
title: 00001087.JPG
DOI: 10.18419/darus-1322/13
title: 00001071.JPG
DOI: 10.18419/darus-1322/14
title: 00001085.JPG
DOI: 10.18419/darus-1322/15
title: 00001075.JPG
DOI: 10.15468/dl.9n3uvg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Apus apus (Linnaeus, 1758)",
 "Year is 2",
 "Country is Netherlands"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006940-241107131044228/datasets/export for details.
DOI: 10.18419/darus-1322/16
title: 00001073.JPG
DOI: 10.18419/darus-1322/17
title: 00001080.JPG
DOI: 10.18419/darus-1322/18
title: 00001086.JPG
DOI: 10.18419/darus-1322/19
title: 00001077.JPG
DOI: 10.18419/darus-1322/20
title: 00001068.JPG
DOI: 10.18419/darus-1322/21
title: 00001070.JPG
DOI: 10.18419/darus-1322
title: 2D pictures of L-KK27-10

description: &lt;p&gt;Dataset contains all pictures (.jpg) 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-1322/22
title: 00001081.JPG
DOI: 10.18419/darus-2115/1
title: setup.lmp
DOI: 10.18419/darus-2115/2
title: nacl_unit.data
DOI: 10.18419/darus-2115/3
title: run.lmp
DOI: 10.18419/darus-2115/4
title: README.md

description: Details about the simulation scripts for the 2d ionic crystal.
DOI: 10.18419/darus-2115/5
title: rerun_TF.lmp
DOI: 10.18419/darus-2115/6
title: rerun_madelung.lmp
DOI: 10.18419/darus-2115/7
title: run_vacuum.lmp
DOI: 10.18419/darus-2115/8
title: README.md

description: Details about the simulation scripts for capacitor setup.
DOI: 10.18419/darus-2115/9
title: setup_vacuum.lmp
DOI: 10.18419/darus-2115/10
title: ff_cryst.txt
DOI: 10.18419/darus-2115/11
title: README.md
DOI: 10.18419/darus-2115/12
title: coex_bulk.data
DOI: 10.18419/darus-2115/13
title: run_salt.lmp
DOI: 10.18419/darus-2115/14
title: setup_salt.lmp
DOI: 10.18419/darus-2115/15
title: run_bulk.lmp
DOI: 10.18419/darus-2115/16
title: run_confined.lmp
DOI: 10.18419/darus-2115/17
title: setup_confined.lmp
DOI: 10.18419/darus-2115/18
title: nacl_unit.data
DOI: 10.18419/darus-2115/19
title: setup.lmp
DOI: 10.18419/darus-2115/20
title: run.lmp
DOI: 10.18419/darus-2115/21
title: README.md
DOI: 10.18419/darus-2115
title: Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"

description: &lt;p&gt;This dataset includes the basic simulation scripts needed in order to reproduce the data shown in "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces".&lt;/p&gt;

&lt;p&gt;The folder structure corresponds to the individual parts of the paper, more detail is given in the individual README.md files:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;2dlayer: Simulation input for the 2D ionic crystal employed for the simulations of Figs. 2 and 3.&lt;/li&gt;
&lt;li&gt;Capacitance: Simulation input for capacitor setups (Fig. 4).&lt;/li&gt;
&lt;li&gt;DCM: Simulation input for the dual coexistence method (DCM) measurements for Fig. 5.&lt;/li&gt;
&lt;li&gt;surften: Basic simulation scripts for the surface tension measurements invoked in Figs. 5 & 6 and Supplementary Fig. 1.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;All simulation scripts use the `real` units setting of LAMMPS, see &lt;a href="https://docs.lammps.org/units.html for details"&gt;https://docs.lammps.org/units.html for details&lt;/a&gt;.&lt;/p&gt;
DOI: 10.18419/darus-2115/22
title: README.md

description: General information about the files in the dataverse.
DOI: 10.18419/darus-2817/2
title: Fig3c.xlsx

description: Column A: Rabi frequency (MHz);
Column B-D: Experimental data (3 times);
Column E: fitting
DOI: 10.18419/darus-2817/3
title: Fig3b.xlsx

description: Column A: time tags of the experimental data;
Column B: measured fluorescence signal (normalized);
Column C: time tags for the simulation;
Column D-F: Simulated signal
In the legends: k is the pumping rate, and T1 is the longitude decoherence time (see controlled variables)
Laser power is at 80 mW.
DOI: 10.18419/darus-2817/5
title: Fig3a.xlsx

description: Row 1 from C is the optical saturation parameter;
Column A from A3 is the Rabi frequency in Hz;
The table from C3 to ADW403 is the logarithmic sensitivity.
DOI: 10.18419/darus-2817/8
title: cw_odmr.m

description: The codes calculate the theoretical sensitivity with different laser and MW power. The calculated variable 'sensitivity_log' is used for the plotting of Fig3a. The codes are written in m file for matlab. It can also be reproduced for other languages.
DOI: 10.18419/darus-2817/1
title: Fig4a.xlsx

description: Column A: Rabi frequency (MHz);
Column B-D: Linewidth measured by CW-ODMR method;
Column E-G: Linewidth measured by Pulsed ODMR method;
Column H-J: Linewidth measured by CE-pulsed ODMR method;
Column K: Microwave(MW) power (dBm);
Column L: CW-ODMR linewidth (kHz)
DOI: 10.18419/darus-2817/11
title: Fig4b.xlsx

description: Column A: frequency modulation (FM) deviation frequency (kHz);
Column B-E: maximum sensitivity with fm=1, 5, 10, 20 kHz, fm is the modulation frequency.
Column F-G: fitting results of fm=1, 5 kHz
DOI: 10.18419/darus-2817/12
title: Fig4d.xlsx

description: Column A: demodulation frequency (Hz);
Column B: Electric noise;
Column C: demodulation frequency (kHz);
Column D: laser noise;
Column E-F: minimum detectable field by CE-Ramsey and CW-ODMR