cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.yxf3wt
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidolopha talassica S.Kovalevsk. & Safral."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043945-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b4aqcc
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnophila micrantha (Benth.) Benth."
 ]
}

 The dataset includes 69 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043944-240321170329656/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.25488814
title: Bond strength of Polyalkasite cements with various surface preparations

description: This study aimed evaluate the effect of different surface treatments on the repair bond strength between existing and new Cention N restorative material. A total of 48 Cention N blocks each measuring 4 mm depth and 8mm diameter were fabricated. The samples were randomly divided into 8 groups (n = 6) according to the surface treatment applied. Group I-Surface preparation by bur, Group II- Surface treatment by laser, Group III- Adper Single Bond 2 adhesive application, Group IV- Scotchbond Universal adhesive application, Group V-Bur preparation followed by Adper Single Bond 2 adhesive application, Group VI- Bur preparation followed by Scotchbond Universal adhesive application, Group VII- Laser preparation followed by Adper Single Bond 2 adhesive application, Group VIII- Laser preparation followed by Scotchbond Universal adhesive application. The surface prepared specimens of all the groups were restored with freshly prepared Cention N. All samples were then subjected to repair bond strength testing using a universal testing machine. ANOVA with post-hoc Games Howell test and two-way ANOVA with post-hoc Bonferroni test were done to evaluate the role of surface preparation and bonding on repair bond strength.
DOI: 10.6084/m9.figshare.25488814.v1
title: Bond strength of Polyalkasite cements with various surface preparations

description: This study aimed evaluate the effect of different surface treatments on the repair bond strength between existing and new Cention N restorative material. A total of 48 Cention N blocks each measuring 4 mm depth and 8mm diameter were fabricated. The samples were randomly divided into 8 groups (n = 6) according to the surface treatment applied. Group I-Surface preparation by bur, Group II- Surface treatment by laser, Group III- Adper Single Bond 2 adhesive application, Group IV- Scotchbond Universal adhesive application, Group V-Bur preparation followed by Adper Single Bond 2 adhesive application, Group VI- Bur preparation followed by Scotchbond Universal adhesive application, Group VII- Laser preparation followed by Adper Single Bond 2 adhesive application, Group VIII- Laser preparation followed by Scotchbond Universal adhesive application. The surface prepared specimens of all the groups were restored with freshly prepared Cention N. All samples were then subjected to repair bond strength testing using a universal testing machine. ANOVA with post-hoc Games Howell test and two-way ANOVA with post-hoc Bonferroni test were done to evaluate the role of surface preparation and bonding on repair bond strength.
DOI: 10.15468/dl.b4xbs9
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lessertia miniata T.M.Salter"
 ]
}

 The dataset includes 90 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043946-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rh76zj
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea dunniana H.Lév."
 ]
}

 The dataset includes 5 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043947-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7n4ajc
title: Occurrence Download

description: A dataset containing 693 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera strophiophora Franch."
 ]
}

 The dataset includes 693 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043948-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mdgwcp
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidolopsis pseudoachillea (C.Winkl.) Poljakov"
 ]
}

 The dataset includes 54 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043949-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uardzp
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lingelsheimia sylvestris (Radcl.-Sm.) Radcl.-Sm."
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043950-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.47cez5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnophila palauensis T.Yamaz."
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043951-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xd7js
title: Occurrence Download

description: A dataset containing 1457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sistrurus tergeminus (Say, 1823)"
 ]
}

 The dataset includes 1457 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043952-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6znt8f
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lessertia montana (E.Phillips & R.A.Dyer) Goldblatt & J.C.Manning"
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043953-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ehz5zk
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea elliptica Blume"
 ]
}

 The dataset includes 388 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043954-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4j94y
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidolopsis turkestanica (Regel & Schmalh.) Poljakov"
 ]
}

 The dataset includes 76 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043956-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26uqxa
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera subaequalis Rehder"
 ]
}

 The dataset includes 78 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043955-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ha4esc
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limnophila parviflora T.Yamaz."
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043957-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gm8f7a
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lessertia mossii R.G.N.Young"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043959-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e199284v1
title: Minimum Wage Data for India

description: This data archive consists of a digitized database of all of India's daily minimum wages across states and detailed industries for the years 1983, 1985/86, 1993, 1998, 2004, and 2006. These data are otherwise only available on paper and/or pdf documents. The data are provided as Excel and Stata files, including aggregate codes by broad industry group that the principal investigators assigned during their research.
description: Daily minimum wage rates by state and industry in India.
description: The Principal Investigators created this database on state- and industry-level daily minimum wage rates using the annual Report on the Working of the Minimum Wages Act, 1948 published by the Government of India’s Labour Bureau. The more recent issues of this report were available as pdf files; earlier years had to be obtained from local sources as hard copies and converted into an electronic database. The PI's also assigned industry codes aggregated into five broad categories (agriculture and forestry, mining, construction, services, and manufacturing).  In the files labeled as "r1", the PI's assigned industry codes aggregated into eight broad categories (agriculture; fishing; forestry; mining; construction & utilities; transport, storage, communications; services; and manufacturing).
DOI: 10.15468/dl.f7vtwu
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Litsea ellipticibacca Merr."
 ]
}

 The dataset includes 40 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043960-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7fn2hq
title: Occurrence Download

description: A dataset containing 160 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lonicera subhispida Nakai"
 ]
}

 The dataset includes 160 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043961-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5jzqu
title: Occurrence Download

description: A dataset containing 170 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidopetalum fructoglabrum Welzen"
 ]
}

 The dataset includes 170 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0043962-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1950672.08fu
title: SH1950672.08FU

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/sh1487191.08fu
title: SH1487191.08FU

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/sh1487192.08fu
title: SH1487192.08FU

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/sh1487193.08fu
title: SH1487193.08FU

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/sh1950673.08fu
title: SH1950673.08FU

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/sh1950674.08fu
title: SH1950674.08FU

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/sh1487194.08fu
title: SH1487194.08FU

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/sh1487195.08fu
title: SH1487195.08FU

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/sh1950675.08fu
title: SH1950675.08FU

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/sh1950676.08fu
title: SH1950676.08FU

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.