cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1899174.08fu
title: SH1899174.08FU

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/sh1899175.08fu
title: SH1899175.08FU

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/sh2876175.08fu
title: SH2876175.08FU

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/sh2876176.08fu
title: SH2876176.08FU

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/sh1899176.08fu
title: SH1899176.08FU

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/sh1899177.08fu
title: SH1899177.08FU

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/sh2876177.08fu
title: SH2876177.08FU

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/sh2876178.08fu
title: SH2876178.08FU

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/sh1899178.08fu
title: SH1899178.08FU

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.2jpdz5
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala carueliana (Burnat ex A.W.Benn.) Caruel"
 ]
}

 The dataset includes 35 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076329-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qxbmx7
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "DatasetKey is one of (INSDC Sequences, International Barcode of Life project (iBOL))",
 "TaxonKey is Epinephelus fasciatus (Forsskål, 1775)"
 ]
}

 The dataset includes 102 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076331-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/4eaf698b4efbaf793b83d95f464d1672
title: Water properties of Brownie Lake, MN and Canyon Lake, MI from 2015-2019

description: Depth profiles of water column chemical and physical properties were assessed with
 seasonal-scale frequency from two meromictic lakes in the upper Midwest, U.S.A. from 2015 to
 2019. Brownie Lake in Minneapolis, MN and Canyon Lake in the Huron Mountains of MI both
 contain elevated hypolimnetic dissolved iron (i.e. “ferruginous”). Several parameters were
 routinely measured with deployable probes at meter or sub-meter resolution at the deepest
 location in each lake. Water samples were also collected for laboratory analysis.
DOI: 10.15468/dl.2czp3s
title: Occurrence Download

description: A dataset containing 2321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Thesium humile Vahl"
 ]
}

 The dataset includes 2321 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076330-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z7kfph
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plocama brevifolia (Coss. & Durieu ex Pomel) M.Backlund & Thulin"
 ]
}

 The dataset includes 167 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076332-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cz4yx2
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala caucasica Rupr."
 ]
}

 The dataset includes 146 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076333-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfxtdx
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plocama bruguieri (A.Rich. ex DC.) M.Backlund & Thulin"
 ]
}

 The dataset includes 57 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076334-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xpax2a
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "GadmGid is CHN.2_1",
 "Geometry POLYGON((115 39,118 39,118 41,115 41,115 39))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Crossoptilon mantchuricum Swinhoe, 1863",
 "Year 2020-2024"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076335-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhevby
title: Occurrence Download

description: A dataset containing 511 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala caudata Rehder & E.H.Wilson"
 ]
}

 The dataset includes 511 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076336-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10903260
title: An Analytical Formulation for Correcting the Relative Permeability of Gas-Water Flow in Propped Fractures Considering the Effect of Brinkman Flow

description: ·       The viscous shear from fracture walls and the resistance from propping materials induce Brinkman flow in propped fractures.

·       Neglecting the effect of Brinkman flow can cause significant errors in evaluating the gas-water relative permeability in propped fractures.

·       An analytical formulation is proposed to correct the relative permeability of gas-water flow in propped fractures considering Brinkman flow.
DOI: 10.5281/zenodo.10903261
title: An Analytical Formulation for Correcting the Relative Permeability of Gas-Water Flow in Propped Fractures Considering the Effect of Brinkman Flow

description: ·       The viscous shear from fracture walls and the resistance from propping materials induce Brinkman flow in propped fractures.

·       Neglecting the effect of Brinkman flow can cause significant errors in evaluating the gas-water relative permeability in propped fractures.

·       An analytical formulation is proposed to correct the relative permeability of gas-water flow in propped fractures considering Brinkman flow.
DOI: 10.15468/dl.jjb7vy
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plocama bucharica (B.Fedtsch. & Des.-Shost.) M.Backlund & Thulin"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076340-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w9bqm7
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polygala citrina Thulin"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076342-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/dabc352040fa58284f78883fa9debe37
title: The European Multi Lake Survey (EMLS) dataset of physical, chemical, algal pigments and cyanotoxin parameters 2015.

description: The European Multi Lake Survey took place in summer 2015. It was a
 grassroots initiative comprised 197 scientists from 26 European
 countries. The EMLS was a snapshot sampling effort where 369 lakes
 were sampled only once for various physical (e.g. temperature),
 chemical (total nutrients) and biological parameters (algal pigments
 and toxins). The sampling period for each region was defined as the
 locally two-week warmest period based on 10-year air temperature data.
 The initial purpose was to define how nutrients and temperature would
 interact to explain variance in algal or cyanobacterial blooms on a
 continental scale using a space for time substitution approach
 (spatial rather than temporal resolution of lake parameters). Several
 other scientific questions addressing what controls toxin distribution
 on a continental scale, or dealing with cross comparisons between
 algal numerical methods (microscopy vs pigments vs flowcytometry) are
 in preparation. Publishing this dataset will allow scientific access
 to a unique sampling effort over the European peninsula that can
 generate new research ideas.
DOI: 10.15468/dl.9ygkwj
title: Occurrence Download

description: A dataset containing 123 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Belarus",
 "TaxonKey is Araneus diadematus Clerck, 1757"
 ]
}

 The dataset includes 123 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076344-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f3wbtw
title: Occurrence Download

description: A dataset containing 1837 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plocama calabrica (L.f.) M.Backlund & Thulin"
 ]
}

 The dataset includes 1837 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0076343-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10903238
title: The Problem of Translating Style in African Prose Writing

description: This research investigated style as an elusive and difficult element to render in an African prose text. Using illustrations from Charles Tsimi’s Clandestinement votre, it identified elements of style in 15 randomly selected excerpts, highlighted possible constraints to the translation of style into English and proposed strategies that a translator could use in the event of its translation. The study applied Toury’s (1995) Descriptive Translation Studies (DTS) for qualitative data collection as it identified, described and explained pathways for the translatability of style in the corpus. The quantitative data collected for the study were analysed using both descriptive and inferential statistics. The descriptive statistical tools used were frequencies and percentages. The quantitative data were analysed using SPSS 25.0, and the findings were presented using figures and tables. The research was underpinned by both translation and literary theories. Concerning translation theory, it made use of the Sociolinguistic and Skopos Theories. The literary theories that supported the work were formalism, post-colonial criticism, sociological criticism and new historicism.  The findings revealed that difficult-to-translate elements of style were found in the author’s diction (73.3%), voice (20.0%) and tone (6.7%). Regarding constraints, it was revealed that translators can face text-driven, translator-related, norm-imposed and extra-linguistic constraints in rendering African prose texts into English. Concerning macro translation strategies, the study proposed foreignisation (20%) and domestication (80%) for rendering style, while the micro strategies it identified were modulation (33.3%), literal translation (26.7), adaptation and equivalence, both of equal weights (13.3%) and deletion and transference also of equal proportions (6.7%). The study concluded that a successful translation of style would depend largely on the potential translator’s mastery of the source text culture, which will condition how they convey both its message (content) and the style (form).
DOI: 10.5281/zenodo.10903239
title: The Problem of Translating Style in African Prose Writing

description: This research investigated style as an elusive and difficult element to render in an African prose text. Using illustrations from Charles Tsimi’s Clandestinement votre, it identified elements of style in 15 randomly selected excerpts, highlighted possible constraints to the translation of style into English and proposed strategies that a translator could use in the event of its translation. The study applied Toury’s (1995) Descriptive Translation Studies (DTS) for qualitative data collection as it identified, described and explained pathways for the translatability of style in the corpus. The quantitative data collected for the study were analysed using both descriptive and inferential statistics. The descriptive statistical tools used were frequencies and percentages. The quantitative data were analysed using SPSS 25.0, and the findings were presented using figures and tables. The research was underpinned by both translation and literary theories. Concerning translation theory, it made use of the Sociolinguistic and Skopos Theories. The literary theories that supported the work were formalism, post-colonial criticism, sociological criticism and new historicism.  The findings revealed that difficult-to-translate elements of style were found in the author’s diction (73.3%), voice (20.0%) and tone (6.7%). Regarding constraints, it was revealed that translators can face text-driven, translator-related, norm-imposed and extra-linguistic constraints in rendering African prose texts into English. Concerning macro translation strategies, the study proposed foreignisation (20%) and domestication (80%) for rendering style, while the micro strategies it identified were modulation (33.3%), literal translation (26.7), adaptation and equivalence, both of equal weights (13.3%) and deletion and transference also of equal proportions (6.7%). The study concluded that a successful translation of style would depend largely on the potential translator’s mastery of the source text culture, which will condition how they convey both its message (content) and the style (form).