cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0190050.10fu
title: SH0190050.10FU

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/sh0190051.10fu
title: SH0190051.10FU

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/sh0190052.10fu
title: SH0190052.10FU

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/sh0190053.10fu
title: SH0190053.10FU

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/sh0190054.10fu
title: SH0190054.10FU

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/sh0190055.10fu
title: SH0190055.10FU

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/sh0190056.10fu
title: SH0190056.10FU

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/sh0190057.10fu
title: SH0190057.10FU

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.pt9xrt
title: Occurrence Download

description: A dataset containing 149122 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus ilex",
 "HasCoordinate is true",
 "Year is 1900,2026"
 ]
}

 The dataset includes 149122 records from 883 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001915-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p139jzzk
title: Model Outputs Showing Optimized Grassland Restoration Sites in the Great Plains Region of Kansas

description: Ecological restoration is essential to meet global biodiversity conservation goals. Given limited conservation budgets, deciding where to restore habitat is a key challenge for the coming decade. This dataset includes optimal restoration sites selected from multiple restoration model scenarios. We developed a modeling approach to maximize conservation benefit/restoration cost ratios to prioritize restoration, and we illustrate this approach using a case study for highly threatened grassland ecosystems in the Great Plains region of Kansas, USA. We selected five grassland wildlife species [greater prairie chickens (Tympanuchus cupido), lesser prairie chickens (Tympanuchus pallidicinctus), swift fox (Vulpes velox), pronghorn (Antilocapra americana), and regal fritillary (Speyeria idalia)] as indicators of restoration benefit across taxa.
DOI: 10.15468/dl.aw2z8u
title: Occurrence Download

description: A dataset containing 155530 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stercorarius skua)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 155530 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030098-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e2audb
title: Occurrence Download

description: A dataset containing 706 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macronus ptilosus",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 706 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030153-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/chneon
title: University of Limpopo 2025/2026 PGD FORM/ PART-TIME FORM IS OUT NOW, FOR INQUIRIES CALL PROF. JONAS VIA WHATSAPP @ +27789535949 FOR REGISTRATION GUIDELINES ON HOW TO APPLY VIA WHATSAPP {+27789535949} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!

description: University of Limpopo 2025/2026 PGD FORM/ PART-TIME FORM IS OUT NOW, FOR INQUIRIES CALL PROF. JONAS VIA WHATSAPP @ +27789535949 FOR REGISTRATION GUIDELINES ON HOW TO APPLY VIA WHATSAPP {+27789535949} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!
description: University of Limpopo 2025/2026 PGD FORM/ PART-TIME FORM IS OUT NOW, FOR INQUIRIES CALL PROF. JONAS VIA WHATSAPP @ +27789535949 FOR REGISTRATION GUIDELINES ON HOW TO APPLY VIA WHATSAPP {+27789535949} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!
DOI: 10.15468/dl.hg6mkg
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragilaria pinnata",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030154-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahfvd3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phedimus middendorfianus",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030156-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tesqrj
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phedimus middendorfianus",
 "Country is Czechia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030157-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53m4xz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phedimus middendorfianus",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030158-250920141307145/datasets/export for details.
DOI: 10.15468/dl.ysx5n3
title: Occurrence Download

description: A dataset containing 190609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stercorarius pomarinus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 190609 records from 243 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030087-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7qu85c
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Amolops lifanensis"
 ]
}

 The dataset includes 70 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030161-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3n59mq
title: Occurrence Download

description: A dataset containing 129788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aedes albopictus"
 ]
}

 The dataset includes 129788 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030088-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p56r5z
title: Occurrence Download

description: A dataset containing 98 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Raja radula)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 98 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030163-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a9xfd
title: Occurrence Download

description: A dataset containing 4054 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macronus striaticeps",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4054 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030162-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p1xarr7x
title: Hydraulic Geometry of Stream Channels in the Boston Mountains of Arkansas

description: In 2014, the U.S. Army Corps of Engineers collaborated with the U.S. Geological Survey to develop regional hydraulic geometry curves for the Boston Mountains in Arkansas. To accomplish this, fourteen stream reaches associated with stream flow-gaging stations operated by the U.S. Geological Survey were evaluated. These study reaches had contributing drainage basin areas ranging from 0.19 to 373 square miles. Comprehensive surveys and analyses were conducted to measure bankfull cross-sectional area, top width, mean depth, streamflow, and floodplain cross sections for these reaches. The collected data were then compared to drainage area to generate regional curves.

Additionally, bed and bar material sampling was performed at eight of the reaches to gather information on the particle-size distributions of the streambed and bar materials, as well as to assess the shapes of the individual particles. The particle size distributions were utilized to evaluate bed mobility at bankfull discharge and were compared with various factors, including land use/land cover, stream slope, and other geomorphic parameters.

The stream reaches at each gaging station were classified according to the Rosgen Level II stream type (Rosgen, 1996), based on the average channel metrics obtained from site cross sections and profiles. The classification of Rosgen stream types was then analyzed in relation to the geomorphic parameters, particle size distribution, and land use/land cover.


Files included in this data release include:
1) Boston Mountains data release.xml: A description of data and methods used to collect and process the data.
2) BostonMtns_Barparticles_DR.csv: A summary of the sampled point bar particle size distribution.
3  BostonMtns_Bedparticles_DR.csv: Measured bed particle dimensions, source cross section, size classification, and particle shapes at sampled reaches.
4) 12_BigPineyCk_Pool_edited.jpg: A cover picture from site 12, Big Piney Creek. Taken by Laura Ruhl-Whittle at a pool cross section.
5) BostonMountains_SelectedPictures.7z: A folder of site pictures featuring a range of photos from study reaches. Sites may include pictures looking upstream, downstream, at pools, at riffles, and/or floodplains.
6) BostonMtnsSummary.csv: A summary table of drainage basin characteristics, period of gage record, geomorphic parameters, bed and bar particle distributions, and stream reach classification.
7) BostonMountainsDataReleaseV4.gpkg: A GIS package including the gage location, the watershed outline, and surveyed points for each reach.

References:

Rosgen, D.L., 1996, Applied river morphology: Pagosa Springs, Colorado, Wildland Hydrology Books, 390 p.
DOI: 10.15468/dl.3r596c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phedimus middendorfianus",
 "Country is Lithuania",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030166-250920141307145/datasets/export for details.
DOI: 10.25574/cdc.443
title: Chandra X-ray Observatory Chandra Data Collection for request #443

description: Chandra Data Collection for request #443
description: DOI updated to include the publication's DOI on 2025-09-29-11:30:00
DOI: 10.15468/dl.nqfk9k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fragilaria virescens",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030164-250920141307145/datasets/export for details.
DOI: 10.7910/dvn/vvj6ae
title: University of South Africa (UNISA) 2025/2026 PGD FORM/ PART-TIME FORM IS OUT NOW, FOR INQUIRIES CALL PROF. JONAS VIA WHATSAPP @ +27789535949 FOR REGISTRATION GUIDELINES ON HOW TO APPLY VIA WHATSAPP {+27789535949} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!

description: University of South Africa (UNISA) 2025/2026 PGD FORM/ PART-TIME FORM IS OUT NOW, FOR INQUIRIES CALL PROF. JONAS VIA WHATSAPP @ +27789535949 FOR REGISTRATION GUIDELINES ON HOW TO APPLY VIA WHATSAPP {+27789535949} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!
description: University of South Africa (UNISA) 2025/2026 PGD FORM/ PART-TIME FORM IS OUT NOW, FOR INQUIRIES CALL PROF. JONAS VIA WHATSAPP @ +27789535949 FOR REGISTRATION GUIDELINES ON HOW TO APPLY VIA WHATSAPP {+27789535949} AND FOR FURTHER ASSISTANCE. NOTE: REGISTRATION LAST FOR TWO WEEKS!!!
DOI: 10.15468/dl.n7wky4
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Malaysia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Dendrogale melanura"
 ]
}

 The dataset includes 43 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030165-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17227265
title: Academic Performance and Class Attendance in Higher Education: A Comprehensive Data-Driven Study

description: Replication package of the paper:"Academic Performance and Class Attendance in Higher Education: A Comprehensive Data-Driven Study"

This study explores the academic performance of students and the key factors influencing it, with a particular emphasis on class attendance. We also examined the impact of academic year and demographics, as well as the role of optional versus mandatory courses in program and attendance-incentive strategies. Furthermore, we analysed the differences between explicit and implicit attendance checks and their effects on students’ performance.