cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1277733.10fu
title: SH1277733.10FU

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/sh1277740.10fu
title: SH1277740.10FU

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/sh1277741.10fu
title: SH1277741.10FU

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/sh1277742.10fu
title: SH1277742.10FU

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/sh1277747.10fu
title: SH1277747.10FU

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.w2zhhj
title: Occurrence Download

description: A dataset listing the 31414 species recorded in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pauropoda, Diplura, Chilopoda, Diplopoda, Sarcoptiformes, Trombidiformes, Palpigradi, Embioptera, Isopoda, Solifugae, Raphidioptera, Blattodea, Hemiptera, Diptera, Scorpiones, Opiliones, Mecoptera, Psocoptera, Zygentoma, Polyxenida, Opilioacarida, Pseudoscorpiones, Protura, Archaeognatha, Dermaptera, Thysanoptera, Amphipoda, Geophilomorpha, Hymenoptera, Orthoptera, Coleoptera, Araneae, Neuroptera, Formicidae, Cicadidae, Oribatidae, Tettigarctidae, Symphyla, Collembola)",
 "Country is Italy"
 ]
}

 The dataset's 31414 records were derived from 905 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004024-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kg9e5e
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((120 -60,150 -60,150 -30,120 -30,120 -60))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012302-251009101135966/datasets/export for details.
DOI: 10.48597/e4qd-gju6
title: Heavy metals at Auchencorth Moss

description: Measurement of Heavy metals at Auchencorth Moss
DOI: 10.48597/29r3-nxys
title: Chromium at Auchencorth Moss

description: Measurement of Chromium at Auchencorth Moss
DOI: 10.48597/2a62-hhxs
title: Strontium at Auchencorth Moss

description: Measurement of Strontium at Auchencorth Moss
DOI: 10.48597/4qbv-5ke3
title: Arsenic at Auchencorth Moss

description: Measurement of Arsenic at Auchencorth Moss
DOI: 10.48597/5fh4-52jp
title: Zinc at Auchencorth Moss

description: Measurement of Zinc at Auchencorth Moss
DOI: 10.48597/5tmc-23hk
title: Lead at Auchencorth Moss

description: Measurement of Lead at Auchencorth Moss
DOI: 10.48597/9q2v-c72m
title: Aluminium_27 at Auchencorth Moss

description: Measurement of Aluminium_27 at Auchencorth Moss
DOI: 10.48597/crn6-kj9t
title: Scandium at Auchencorth Moss

description: Measurement of Scandium at Auchencorth Moss
DOI: 10.48597/ddsd-w4y9
title: Cesium at Auchencorth Moss

description: Measurement of Cesium at Auchencorth Moss
DOI: 10.15468/dl.yexz9m
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melanotus brunnipes (Germar, 1824))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 193 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090624-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/e8ae-n9yn
title: Titanium at Auchencorth Moss

description: Measurement of Titanium at Auchencorth Moss
DOI: 10.48597/24mv-r5eq
title: Selenium at Auchencorth Moss

description: Measurement of Selenium at Auchencorth Moss
DOI: 10.48597/2mrg-wuwz
title: Chromium at Auchencorth Moss

description: Measurement of Chromium at Auchencorth Moss
DOI: 10.60600/yu/clawet/jcbkyy
title: 0026.wav

description: :unav
DOI: 10.48597/7g3u-bkb8
title: Copper at Auchencorth Moss

description: Measurement of Copper at Auchencorth Moss
DOI: 10.48597/8yct-73da
title: Arsenic at Auchencorth Moss

description: Measurement of Arsenic at Auchencorth Moss
DOI: 10.48597/c9ge-57rx
title: Lead at Auchencorth Moss

description: Measurement of Lead at Auchencorth Moss
DOI: 10.48597/e2w9-eu3t
title: Vanadium at Auchencorth Moss

description: Measurement of Vanadium at Auchencorth Moss
DOI: 10.48597/5sz8-mtg9
title: Arsenic at Auchencorth Moss

description: Measurement of Arsenic at Auchencorth Moss
DOI: 10.48597/e4ah-buww
title: Cobalt at Auchencorth Moss

description: Measurement of Cobalt at Auchencorth Moss
DOI: 10.48597/cvwj-mr54
title: Copper at Auchencorth Moss

description: Measurement of Copper at Auchencorth Moss
DOI: 10.48597/e635-ehjg
title: Nickel_60 at Auchencorth Moss

description: Measurement of Nickel_60 at Auchencorth Moss
DOI: 10.60600/yu/clawet/btyzoe
title: 0151.wav

description: :unav
DOI: 10.34740/kaggle/dsv/8773732
title: precious_metal_investment_coins_2024
DOI: 10.60600/yu/clawet/ppaemp
title: 0016.wav

description: :unav
DOI: 10.60600/yu/clawet/ltjnsp
title: 0021.wav

description: :unav
DOI: 10.15468/dl.348a69
title: Occurrence Download

description: A dataset containing 1255 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carex bichenoviana Boott)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1255 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090626-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/be55c9ca-3d93-4a48-8115-c1740ad4a594
title: Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 4)

description: <strong>***General Introduction***</strong>This dataset contains data (figures) collected as part of Chapter 4 in the doctoral thesis of Mr. Nikos Kougiatsos, M.Sc. in Delft University of Technology, 2020-2024.It is being made public both to act as supplementary data for publications of N. Kougiatsos and in order for other researchers to use this data in their own work.<br>This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \& Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).<strong>***Purpose of the collection***</strong>The purpose of these simulation was to showcase and analyse the performance of a distributed sensor fault diagnosis scheme for marine internal combustion engines.<strong>***Description of the data structure***</strong>The data included in this repository has the form of .fig, .mat and .png files. A detailed description follows next.<br><strong>results.mat </strong>: This mat file contains the recorded simulation results based on the proposed methodology in Chapter 4 and the considered fault scenario<strong>Chapter_4_Figure_X_desc.fig</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 4 in .fig format. The contents of each Figure are briefly described by 'desc'.<strong>Chapter_4_Figure_X_desc.png</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 4 in .png format. The contents of each Figure are briefly described by 'desc'.<strong>README.txt: </strong>Contains instructions regarding the use of the dataset<br><strong>***Dependencies***</strong>To read the simulation results and the plots, I used MATLAB R2021b. However, I believe that also other versions of MATLAB may work as well.
DOI: 10.4121/be55c9ca-3d93-4a48-8115-c1740ad4a594.v1
title: Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 4)

description: <strong>***General Introduction***</strong>This dataset contains data (figures) collected as part of Chapter 4 in the doctoral thesis of Mr. Nikos Kougiatsos, M.Sc. in Delft University of Technology, 2020-2024.It is being made public both to act as supplementary data for publications of N. Kougiatsos and in order for other researchers to use this data in their own work.<br>This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \& Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).<strong>***Purpose of the collection***</strong>The purpose of these simulation was to showcase and analyse the performance of a distributed sensor fault diagnosis scheme for marine internal combustion engines.<strong>***Description of the data structure***</strong>The data included in this repository has the form of .fig, .mat and .png files. A detailed description follows next.<br><strong>results.mat </strong>: This mat file contains the recorded simulation results based on the proposed methodology in Chapter 4 and the considered fault scenario<strong>Chapter_4_Figure_X_desc.fig</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 4 in .fig format. The contents of each Figure are briefly described by 'desc'.<strong>Chapter_4_Figure_X_desc.png</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 4 in .png format. The contents of each Figure are briefly described by 'desc'.<strong>README.txt: </strong>Contains instructions regarding the use of the dataset<br><strong>***Dependencies***</strong>To read the simulation results and the plots, I used MATLAB R2021b. However, I believe that also other versions of MATLAB may work as well.
DOI: 10.15468/dl.phxwr2
title: Occurrence Download

description: A dataset containing 4982 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aleurites moluccanus (L.) Willd., Aleurites moluccanus var. moluccanus, Aleurites moluccanus var. serotinus O.Deg. & Sherff, Aleurites moluccanus var. floccosus Airy Shaw, Aleurites moluccanus var. rockinghamensis Baill., Aleurites moluccanus var. alaunii O.Deg. & I.Deg., 1971, Aleurites moluccanus var. floccosus AiryShaw, Aleurites moluccanus var. aulanii O.Deg. & I.Deg., Aleurites moluccanus var. katoi O.Deg., I.Deg. & B.S.Stone, Aleurites moluccanus var. remyi (Sherff) B.C.Stone)"
 ]
}

 The dataset includes 4982 records from 266 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090625-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/njlrvq
title: 0009.wav

description: :unav
DOI: 10.15468/dl.zdpzag
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aeolus melliculus Candèze, 1859)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 574 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0090627-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/7b77666a-bec4-42a9-9e41-0d2b08c489f9
title: Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 5)

description: <strong>***General Introduction***</strong>This dataset contains data (figures) collected as part of Chapter 5 in the doctoral thesis of Mr. Nikos Kougiatsos, M.Sc. in Delft University of Technology, 2020-2024.It is being made public both to act as supplementary data for publications of N. Kougiatsos and in order for other researchers to use this data in their own work.<br>This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \& Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).<strong>***Purpose of the collection***</strong>The purpose of these simulation was to showcase and analyse the performance of a resilient control method for marine vessels.<strong>***Description of the data structure***</strong>The data included in this repository has the form of .fig, .mat and .png files. A detailed description follows next.<br><strong>results.mat </strong>: This mat file contains the recorded simulation results based on the proposed methodology in Chapter 5<strong>Chapter_5_Figure_X_desc.fig</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 5 in .fig format. The contents of each Figure are briefly described by 'desc'.<strong>Chapter_5_Figure_X_desc.png</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 5 in .png format. The contents of each Figure are briefly described by 'desc'.<strong style="background-color:rgb(255, 250, 234);">plots_control_stability.m: </strong>The file used to generate the plots in MATLAB after loading results.mat<strong style="background-color:rgb(255, 250, 234);">README.txt:</strong> Contains instructions regarding the use of the dataset<br><strong>***Dependencies***</strong>To read the simulation results and create the plots, I used MATLAB R2021b. However, I believe that also other versions of MATLAB may work as well.
DOI: 10.4121/7b77666a-bec4-42a9-9e41-0d2b08c489f9.v1
title: Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 5)

description: <strong>***General Introduction***</strong>This dataset contains data (figures) collected as part of Chapter 5 in the doctoral thesis of Mr. Nikos Kougiatsos, M.Sc. in Delft University of Technology, 2020-2024.It is being made public both to act as supplementary data for publications of N. Kougiatsos and in order for other researchers to use this data in their own work.<br>This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \& Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).<strong>***Purpose of the collection***</strong>The purpose of these simulation was to showcase and analyse the performance of a resilient control method for marine vessels.<strong>***Description of the data structure***</strong>The data included in this repository has the form of .fig, .mat and .png files. A detailed description follows next.<br><strong>results.mat </strong>: This mat file contains the recorded simulation results based on the proposed methodology in Chapter 5<strong>Chapter_5_Figure_X_desc.fig</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 5 in .fig format. The contents of each Figure are briefly described by 'desc'.<strong>Chapter_5_Figure_X_desc.png</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 5 in .png format. The contents of each Figure are briefly described by 'desc'.<strong style="background-color:rgb(255, 250, 234);">plots_control_stability.m: </strong>The file used to generate the plots in MATLAB after loading results.mat<strong style="background-color:rgb(255, 250, 234);">README.txt:</strong> Contains instructions regarding the use of the dataset<br><strong>***Dependencies***</strong>To read the simulation results and create the plots, I used MATLAB R2021b. However, I believe that also other versions of MATLAB may work as well.
DOI: 10.60600/yu/clawet/niy4pe
title: 0123.wav

description: :unav
DOI: 10.60600/yu/clawet/igqb3f
title: 0112.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/a93xel
title: 0140.wav

description: :unav
DOI: 10.4121/fba3301f-bb46-4a4c-b646-5ce3c2406628
title: Data accompanying the thesis: Safe and resilient control for marine power and propulsion plants (Chapter 6)

description: <strong>***General Introduction***</strong>This dataset contains data collected as part of Chapter 6 in the doctoral thesis of Mr. Nikos Kougiatsos, M.Sc. in Delft University of Technology, 2020-2024.It is being made public both to act as supplementary data for publications of N. Kougiatsos and in order for other researchers to use this data in their own work.<br>This data is part of the project READINESS with project number TWM.BL.019.002 of the research programme ”Topsector Water \& Maritime: the Blue route” which is partly financed by the Dutch Research Council (NWO).<strong>***Purpose of the collection***</strong>The purpose of this simulation was to optimize the isolability of multiple faults for marine propulsion plants.<strong>***Description of the data structure***</strong>The data included in this repository has the form of .txt,.py,.sh,.xlsx and .png files. A detailed description follows next.<br><strong>README.txt </strong>: Text file containing information on how to use the python code<strong>*.xlsx: </strong>Please create a new folder called Excel_sheets and add all of those files in it. These files contain the semantic information that serves as input to the greedy optimiser<strong>semantic_functions.py: </strong>This file serves as the library of all necessary functions to run the greedy stochastic optimiser<strong>Semantic_database.py:</strong> Main Python file that renders the results of the Chapter using the Excel_sheets info and the functions in semantic_functions.py<strong>30_games.sh:</strong> Bash script that executes Semantic_database.py to obtain the greedy stochastic algorithm results.<strong>Chapter_6_Figure_X_desc.png</strong>: These files hold the plotting information corresponding to Figure 'X' of Chapter 6 in .png format. The contents of each Figure are briefly described by 'desc'.<br><strong>***Dependencies***</strong>To read the simulation results and create the plots, I used Python 3.9. The required libraries can be found in the import statements in semantic_functions.py