cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1254310.10fu
title: SH1254310.10FU

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/sh1254319.10fu
title: SH1254319.10FU

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/sh1254320.10fu
title: SH1254320.10FU

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/sh1254321.10fu
title: SH1254321.10FU

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/sh1254322.10fu
title: SH1254322.10FU

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/sh1254325.10fu
title: SH1254325.10FU

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/sh1254326.10fu
title: SH1254326.10FU

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/sh1254330.10fu
title: SH1254330.10FU

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/sh1254331.10fu
title: SH1254331.10FU

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: 10.6084/m9.figshare.29132855
title: Drug screen data for Fig 6.xlsx

description: Data for Chappell et al. 2025 paper titled, "Fexinidazole and Corallopyronin A target Wolbachia-infected sheath cells present in filarial nematodes."
DOI: 10.15468/dl.hkjdyq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus polius Osgood, 1904",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015010-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vur2zz
title: Occurrence Download

description: A dataset containing 10252 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "TaxonKey is Crassostrea virginica (Gmelin, 1791)"
 ]
}

 The dataset includes 10252 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015008-250515123054153/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.29043041
title: Heat budget model data

description: Output of heat budget model for limpets at one site (Omihi) on the north east coast of New Zealand's South Island. Limpet body temperatures were predicted using meterological data combined with high-resolution digital surface models to look at the effect of fine-scale topographic variability on body temperatures.
DOI: 10.34740/kaggle/ds/7490575
title: Anime5K
DOI: 10.15468/dl.dxunbe
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus pseudocrinitus Burt, 1932",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015012-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dnqueq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus sagax Elliot, 1903",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015013-250515123054153/datasets/export for details.
DOI: 10.15468/dl.uzsqc3
title: Occurrence Download

description: A dataset containing 883172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Necremnus aenigmaticus Gibson, 2015, Trichogramma carverae Oatman & Pinto, 1987, Trichogrammatoidea bactrae Nagaraja, 1979, Lyrcus maculatus (Gahan, 1914), Pieris deota (de Nicéville, 1884), Pieris brassicoides Guérin-Méneville, 1847, Entomoscelis americana W.J.Brown, 1942, Brassicogethes aeneus (Fabricius, 1775), Muscina levida (Harris, 1780), Autographa nigrisigna (Walker, 1857), Agrotis exclamationis informis Leech, 1889, Agrotis exclamationis (Linnaeus, 1758), Manduca sexta Linnaeus, 1763, Pyrenopeziza brassicae B.Sutton & Rawl., Verticillium longisporum (C.Stark) Karapapa, Bainbr. & Heale, Macugonalia cavifrons (Stål, 1862), Phyllotreta cruciferae (Goeze, 1777), Zanda latirostris (Carnaby, 1948), Tenthredo atra Linnaeus, 1758, Eurydema ventralis Kolenati, 1846, Conura torvina (Cresson, 1872), Eupelmus xenium Fusu & Gibson, 2016, Pseudotorymus napi (Amerling & Kirchner, 1860), Aphelinus albipodus Hayat & Fatima, 1992, Trichogramma inyoense Pinto & Oatman, 1985, Chlorocytus diversus (Walker, 1836), Euderus glaucus Yoshimoto, 1971, Omphale clypealis (Thomson, 1878), Mesopolobus morys (Walker, 1848), Eurydinoteloides incerta (Ashmead, 1893), Brasema allynii, Eurytoma curculionum Mayr, 1878, Aphelinus asychis Walker, 1839, Oomyzus sokolowskii (Kurdjumov, 1912), Eurytoma tylodermatis Ashmead, 1896, Pteromalus cerealellae (Ashmead, 1902), Pachyneuron muscarum (Linnaeus, 1758), Perilampus aeneus (Rossius, 1790), Thrips vulgatissimus Haliday, 1836, Typhula variabilis Riess, Mycosphaerella brassicicola (Duby) Lindau, Elinora baetica (Spinola, 1843), Xanthorhoe iduata (Guenée), Chondrostega tingitana Powell, 1916, Paracles fusca Walker, 1856, Olepa ricini (Fabricius, 1775), Leuroperna sera (Meyrick, 1885), Eupithecia pulchellata Stephens, 1831, Cornutiplusia circumflexa (Linnaeus, 1767), Aleyrodes proletella (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 883172 records from 1200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015011-250515123054153/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.29133083
title: Tabla 1. Aspectos a considerar antes de implementar programas de capacitación docente en ámbitos rurales.xlsx

description: Methodology for evaluating the feasibility of developing teacher training programs in rural areas
DOI: 10.5281/zenodo.15493090
title: SMT-LIB release 2025 (non-incremental benchmarks)

description: This is the SMT-LIB benchmark library: a large library of input problems, or benchmarks, written in the SMT-LIB language. More information about the SMT-LIB initiative can be found at https://smt-lib.org. The contributor and licence of each benchmark is indicated in the metadata fields of each benchmark file.

This collection contains the non-incremental benchmarks.

Benchmarks are grouped by logic and compressed with the zstd compression algorithm using the tar --zstd. SMT-LIB benchmarks usually have a very high compression rate, be aware of the required disk space when uncompressing the archives. You can find the size of each archive in compressed and uncompressed form in the following list.
DOI: 10.5281/zenodo.15493095
title: SMT-LIB release 2025 (incremental benchmarks)

description: This is the SMT-LIB benchmark library: a large library of input problems, or benchmarks, written in the SMT-LIB language. More information about the SMT-LIB initiative can be found at https://smt-lib.org. The contributor and licence of each benchmark is indicated in the metadata fields of each benchmark file.

This collection contains the incremental benchmarks.

Benchmarks are grouped by logic and compressed with the zstd compression algorithm using the tar --zstd. SMT-LIB benchmarks usually have a very high compression rate, be aware of the required disk space when uncompressing the archives. You can find the size of each archive in compressed and uncompressed form in the following list.
DOI: 10.5281/zenodo.15493096
title: SMT-LIB release 2025 (incremental benchmarks)

description: This is the SMT-LIB benchmark library: a large library of input problems, or benchmarks, written in the SMT-LIB language. More information about the SMT-LIB initiative can be found at https://smt-lib.org. The contributor and licence of each benchmark is indicated in the metadata fields of each benchmark file.

This collection contains the incremental benchmarks.

Benchmarks are grouped by logic and compressed with the zstd compression algorithm using the tar --zstd. SMT-LIB benchmarks usually have a very high compression rate, be aware of the required disk space when uncompressing the archives. You can find the size of each archive in compressed and uncompressed form in the following list.
DOI: 10.15468/dl.jzyr2c
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Peromyscus sejugis Burt, 1932",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 35 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015014-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15493099
title: Datasets and Model Weights for "Curiosity by Design: An LLM-based Coding Assistant Asking Clarification Questions"
DOI: 10.5281/zenodo.15493098
title: Datasets and Model Weights for "Curiosity by Design: An LLM-based Coding Assistant Asking Clarification Questions"
DOI: 10.15468/dl.5x49hv
title: Occurrence Download

description: A dataset containing 78448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-76.38273 6.12504,-75.8992 6.12176,-75.89091 6.55313,-76.40278 6.53726,-76.38273 6.12504))",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 78448 records from 180 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015009-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zu8ppr
title: Occurrence Download

description: A dataset containing 102340 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Guazuma ulmifolia Lam.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 102340 records from 241 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015018-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydft29
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Spermophilus fulvus",
 "Country is Russian Federation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 78 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012234-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yw88mz
title: Occurrence Download

description: A dataset containing 588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Caudofoveata)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((30 60,60 60,60 90,30 90,30 60))"
 ]
}

 The dataset includes 588 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012235-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17336934
title: Data for LNME Biodiesel Deposit Formation on an Inclined Heated Aluminum Alloy Surface
DOI: 10.5281/zenodo.17336935
title: Data for LNME Biodiesel Deposit Formation on an Inclined Heated Aluminum Alloy Surface
DOI: 10.15468/dl.dpwd3e
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Santolina melidensis"
 ]
}

 The dataset includes 94 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010945-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5utfc
title: Occurrence Download

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

 The dataset includes 3 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010944-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc95dk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Actinopterygii",
 "Year is 1997"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007210-250426092105405/datasets/export for details.
DOI: 10.15468/dl.qne975
title: Occurrence Download

description: A dataset containing 148175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Brazil",
 "GadmGid is BRA",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Thraupis sayaca (Linnaeus, 1766)"
 ]
}

 The dataset includes 148175 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0266332-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.22008/fk2/ohi23z/4equkm
title: MB_sector-1.nc

description: MB by sector. Git hash: cfadd2f
DOI: 10.22008/fk2/ohi23z/pqztoa
title: MB_SMB_D_BMB_ann-1.csv

description: MB annual CSV. Git hash: cfadd2f
DOI: 10.22008/fk2/ohi23z/oeibqc
title: MB_SMB_D_BMB-1.csv

description: MB CSV. Git hash: cfadd2f