cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1134894.10fu
title: SH1134894.10FU

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/sh1134899.10fu
title: SH1134899.10FU

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/sh1134901.10fu
title: SH1134901.10FU

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/sh1134904.10fu
title: SH1134904.10FU

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/sh1134908.10fu
title: SH1134908.10FU

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/sh1134909.10fu
title: SH1134909.10FU

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/sh1134911.10fu
title: SH1134911.10FU

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/sh1134912.10fu
title: SH1134912.10FU

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/sh1134914.10fu
title: SH1134914.10FU

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/sh1134915.10fu
title: SH1134915.10FU

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.dpngjd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Impatiens antongiliana H.Perrier"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252114-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wkfw6
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia cauliflora Durkee"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260133-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5tvmk
title: Occurrence Download

description: A dataset containing 83878 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Vigna unguiculata (L.) Walp.)"
 ]
}

 The dataset includes 83878 records from 333 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042208-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f97uk
title: Occurrence Download

description: A dataset containing 1900 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Oreothraupis arremonops (P.L.Sclater, 1855)"
 ]
}

 The dataset includes 1900 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0247206-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r4wmck
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "TaxonKey is Echinopsis ferox (Britton & Rose) Backeb."
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252118-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tqgsc
title: Occurrence Download

description: A dataset containing 467097 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus sylvestris L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Year 1990-2020"
 ]
}

 The dataset includes 467097 records from 1255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0252105-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m6htj5
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Justicia chimalapensis T.F.Daniel"
 ]
}

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0260149-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ngha67
title: Occurrence Download

description: A dataset containing 247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Caiman crocodilus chiapasius (Bocourt, 1876)"
 ]
}

 The dataset includes 247 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042365-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zs8m4g
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((109.20977868566979 -8.01835904421506,113.20977868566979 -8.01835904421506,113.20977868566979 -4.01835904421506,109.20977868566979 -4.01835904421506,109.20977868566979 -8.01835904421506))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cervus Linnaeus, 1758"
 ]
}

 The dataset includes 9 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036642-241126133413365/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.27016246
title: A study on the differences in characteristics, perceptions, and adaptive capacity of artisanal fishers in Tobago

description: Artisanal fishers are a highly diverse group, with social, economic, and demographic differences shaping their fishing behaviors and interactions with fisheries resources. However, fisheries management often treats them as a homogenous group. This study aims to investigate the nuanced differences in characteristics, perceptions, and adaptive capacity of artisanal fishers in Tobago. Through face-to-face surveys conducted with 89 fishers at seven landing sites along Tobago's Caribbean coast, this study examined fisher demographics, fishing effort, and responses to changes in fish abundance, size, and demand. The survey instrument was deployed from June to December 2016 and vessel owners or one of their crew if the boat owners was not available at seven landing sites in Tobago. Sampling within each village was stratified according to the size of the fishing community or landing size based on site reconnaissance. Artisanal fishers were treated as a secondary sampling unit and selected using a mix of opportunistic and snowball sampling, resulting in a response rate of 15% (n = 89 responses). The survey instrument measured the socio-demographics, fishery characteristics, perceptions of changes in the fishery and environment, and adaptive capacity using hypothetical scenarios to changes in fish catch.
DOI: 10.15468/dl.phexbv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scomber rochei Risso, 1810",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036643-241126133413365/datasets/export for details.
DOI: 10.17866/rd.salford.27991643
title: 12/12/2024 - Burnley College Zine Workshop

description: Zine Workshop delivered by Keren Poliah and Noah Singh-Harris at Burnley CollegeTeachers - 3 [each staying for short intervals as there was an ongoing event at the college]Students - 21Data collected: Questionnaires and Postcards
DOI: 10.17866/rd.salford.27991643.v1
title: 12/12/2024 - Burnley College Zine Workshop

description: Zine Workshop delivered by Keren Poliah and Noah Singh-Harris at Burnley CollegeTeachers - 3 [each staying for short intervals as there was an ongoing event at the college]Students - 21Data collected: Questionnaires and Postcards
DOI: 10.15468/dl.6hr3jh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "Geometry POLYGON((109.19914346895078 -11.208377944325491,113.19914346895078 -11.208377944325491,113.19914346895078 -7.208377944325491,109.19914346895078 -7.208377944325491,109.19914346895078 -11.208377944325491))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Dimocarpus longan Lour."
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036644-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcut47
title: Occurrence Download

description: A dataset containing 643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Gnetum gnemon L."
 ]
}

 The dataset includes 643 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036645-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/63fa3d6c-6bd2-4efe-9548-ddcaf1bfbeb9
title: Data belonging to the publication: Closed-loop model-predictive wind farm flow control under time-varying inflow using FLORIDyn

description: Collection of plotting scripts and data required to recreate the results plots in the publication.<br><strong>Plotting</strong>The main plotting script is called <em>Evaluate_long_cases.m </em>and calls the remaining functions.Open this file and step through it to generate various plots used and not used in the paper.Note that some scripts rely on user-defined inputs, e.g., the turbine index.<br><strong>Data</strong>The plotting relies on the unaltered data in the folder "HKN_12_to_15h_data", which is a compressed file.The data of the disturbed cases also contains the wind direction measurements of the past 1-min averaged probes, as well as the then corrected data from the Ensemble Kalman Filter. There is further a small selection of cases not used in the publication, like a preview-enabled version of the shifted approach.Disclaimer: Through a settings mistake, the data of the<em> CLC, 500s ph, noise-free</em> controller is 1 s too short. The script gives a warning and extrapolates with a constant last value.<br><strong>FLORIDyn Settings</strong>The closed-loop cases have a folder in the data called "Settings", which defines the closed-loop settings for the controller, EnKF, FLORIDyn, and FLORIS. This is needed to employ the same controller as used in the presented simulations. More details about running FLORIDyn simulations (stand-alone and in closed-loop) can be found with the Matlab software, see doi 10.4121/038777f7-f497-494f-9f61-85d90a00074a<br><strong>Look-up Table</strong>The LuT is given with as "HKN_LuT_orientation.csv", and is plotted at the end of the <em>Evaluate_long_cases.m</em> script.The case data also contains a 2-deg case run with a LuT generated by NREL's FLORIS: "off_db2deg_ki0-01"
DOI: 10.4121/63fa3d6c-6bd2-4efe-9548-ddcaf1bfbeb9.v1
title: Data belonging to the publication: Closed-loop model-predictive wind farm flow control under time-varying inflow using FLORIDyn

description: Collection of plotting scripts and data required to recreate the results plots in the publication.<br><strong>Plotting</strong>The main plotting script is called <em>Evaluate_long_cases.m </em>and calls the remaining functions.Open this file and step through it to generate various plots used and not used in the paper.Note that some scripts rely on user-defined inputs, e.g., the turbine index.<br><strong>Data</strong>The plotting relies on the unaltered data in the folder "HKN_12_to_15h_data", which is a compressed file.The data of the disturbed cases also contains the wind direction measurements of the past 1-min averaged probes, as well as the then corrected data from the Ensemble Kalman Filter. There is further a small selection of cases not used in the publication, like a preview-enabled version of the shifted approach.Disclaimer: Through a settings mistake, the data of the<em> CLC, 500s ph, noise-free</em> controller is 1 s too short. The script gives a warning and extrapolates with a constant last value.<br><strong>FLORIDyn Settings</strong>The closed-loop cases have a folder in the data called "Settings", which defines the closed-loop settings for the controller, EnKF, FLORIDyn, and FLORIS. This is needed to employ the same controller as used in the presented simulations. More details about running FLORIDyn simulations (stand-alone and in closed-loop) can be found with the Matlab software, see doi 10.4121/038777f7-f497-494f-9f61-85d90a00074a<br><strong>Look-up Table</strong>The LuT is given with as "HKN_LuT_orientation.csv", and is plotted at the end of the <em>Evaluate_long_cases.m</em> script.The case data also contains a 2-deg case run with a LuT generated by NREL's FLORIS: "off_db2deg_ki0-01"