cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rdh8ms
title: Occurrence Download

description: A dataset containing 500 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylaria corniformis (Fr.) Fr."
 ]
}

 The dataset includes 500 records from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007248-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7cffvy
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is one of (Digitalización y Sistematización de las Colecciones Biológicas Nacionales del Instituto de Biología, UNAM (Plantas vasculares), Sistemática y distribución actual de los Agave spp mezcaleros, Digitalización de la colección científica del Herbario de Querétaro \"Dr. Jerzy Rzedowski\" QMEX, Depuración de la colección y base de datos del Herbario CICY. Fase IV, Tropicos MO Specimen Data, NMNH Extant Specimen Records (USNM, US), Base de datos de nombres técnicos o de uso común en el aprovechamiento de los agaves en México, Royal Botanic Gardens, Kew - Herbarium Specimens, Desert Botanical Garden Herbarium, Base de datos de la distribución de la flora de la Reserva de la Biosfera Tehuacán-Cuicatlán)",
 "TaxonKey is Agave salmiana Otto ex Salm-Dyck",
 "Year 1990-2025"
 ]
}

 The dataset includes 231 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007188-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ht4kpm
title: Occurrence Download

description: A dataset containing 159 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis ciliaris Lindl."
 ]
}

 The dataset includes 159 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007249-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/eajfvt
title: Dados estimativas efeitos variáveis no pré-tratamento de bagaço de cana-de-açúcar com solvente Gama-Valerolactona

description: Arquivo .sta utilizado para estimar o efeito de variáveis avaliadas em Planejamento Experimental Fracionário do pré-tratamento de bagaço de cana-de-açúcar. As variáveis estudadas são temperatura, tempo, concentração de GVL no solvente e concentração de catalisador ácido.
DOI: 10.6084/m9.figshare.28548857
title: Dataset and Code for Laferriere et al. (2025) (Lunar Hydration Exosphere)

description: Figures includes the jupyter notebook used to create the figures in the manuscript, Supplemental includes the jupyter notebook used to create the supplemental figures from the manuscript. Lunar_processes.py is the python code which encompasses our ballistic transport model.The Repository zipfile contains all of the model run results. The directory is separated into the two particles (H2O, OH), and "extras". Each of the folders contains the results from the exosphere model runs, full model runs, and relevant tests as discussed in the manuscript.
DOI: 10.5281/zenodo.14983402
title: First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil

description: Research data for the paper entitled: "First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil", containing information on sex, date and location of the specimens collected.
DOI: 10.48567/dmrm-3y16
title: Emilia Automatic Weather Station, 2006 quality-controlled observational data.
DOI: 10.5281/zenodo.14983401
title: First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil

description: Research data for the paper entitled: "First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil", containing information on sex, date and location of the specimens collected.
DOI: 10.5281/zenodo.14887732
title: Datasets for Developing an Instrument to Assess Physical Education Teachers' Competencies in Using Fitness Monitoring to Promote Physical Literacy

description: The syntax for the analysis is provided below:

FACTOR   /VARIABLES Q11a Q11c Q12a Q12b Q12c Q8a Q8c Q10a Q10b Q10c Q2b Q2c Q3a Q3b Q13a Q13b Q13c Q14a Q6a Q6b Q6c Q5a Q5b Q5c Q4a Q4b Q4c  /MISSING LISTWISE   /ANALYSIS Q11a Q11c Q12a Q12b Q12c Q8a Q8c Q10a Q10b Q10c Q2b Q2c Q3a Q3b Q13a Q13b Q13c Q14a Q6a Q6b Q6c Q5a Q5b Q5c Q4a Q4b Q4c  /PRINT INITIAL KMO EXTRACTION ROTATION  /FORMAT SORT BLANK(.3)  /CRITERIA FACTORS(7) ITERATE(25)  /EXTRACTION PAF  /CRITERIA ITERATE(25)  /ROTATION VARIMAX  /SAVE REG(ALL)  /METHOD=CORRELATION.

RELIABILITY/VARIABLES=Q11a Q11c Q12a Q12b Q12c/SCALE('Cognition') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q8a Q8c Q10a Q10b Q10c/SCALE('Feedback') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q2b Q2c Q3a Q3b/SCALE('Fitness concept') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q13a Q13b Q13c Q14a/SCALE('Support') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q6a Q6b Q6c/SCALE('Planning') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q5a Q5b Q5c/SCALE('Objectives') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q4a Q4b Q4c/SCALE('Physical literacy') ALL/MODEL=ALPHA.

RELIABILITY/VARIABLES=test.cog1 test.cog2 test.cog3 test.cog4 test.cog5 test.fib1 test.fib2 test.fib3 test.fib4 test.fib5 test.fitcon1 test.fitcon2 test.fitcon3 test.fitcon4 test.sub1 test.sub2 test.sub3 test.sub4 test.pla1 test.pla2 test.pla3 test.obj1 test.obj2 test.obj3 test.phyl1 test.phyl2 test.phyl3 retest.cog1 retest.cog2 retest.cog3 retest.cog4 retest.cog5 retest.fib1 retest.fib2 retest.fib3 retest.fib4 retest.fib5 retest.fitcon1 retest.fitcon2 retest.fitcon3 retest.fitcon4 retest.sub1 retest.sub2 retest.sub3 retest.sub4 retest.pla1 retest.pla2 retest.pla3 retest.obj1 retest.obj2 retest.obj3 retest.phyl1 retest.phyl2 retest.phyl3/SCALE('ALL VARIABLES') ALL/MODEL=ALPHA/ICC=MODEL(MIXED) TYPE(CONSISTENCY) CIN=95 TESTVAL=0. RELIABILITY/VARIABLES=test.cog1 test.cog2 test.cog3 test.cog4 test.cog5 test.fib1 test.fib2 test.fib3 test.fib4 test.fib5 test.fitcon1 test.fitcon2 test.fitcon3 test.fitcon4 test.sub1 test.sub2 test.sub3 test.sub4 test.pla1 test.pla2 test.pla3 test.obj1 test.obj2 test.obj3 test.phyl1 test.phyl2 test.phyl3 retest.cog1 retest.cog2 retest.cog3 retest.cog4 retest.cog5 retest.fib1 retest.fib2 retest.fib3 retest.fib4 retest.fib5 retest.fitcon1 retest.fitcon2 retest.fitcon3 retest.fitcon4 retest.sub1 retest.sub2 retest.sub3 retest.sub4 retest.pla1 retest.pla2 retest.pla3 retest.obj1 retest.obj2 retest.obj3 retest.phyl1 retest.phyl2 retest.phyl3/SCALE('ALL VARIABLES') ALL/MODEL=ALPHA/ICC=MODEL(MIXED) TYPE(ABSOLUTE) CIN=95 TESTVAL=0.
DOI: 10.5281/zenodo.14887733
title: Datasets for Developing an Instrument to Assess Physical Education Teachers' Competencies in Using Fitness Monitoring to Promote Physical Literacy

description: The syntax for the analysis is provided below:

FACTOR   /VARIABLES Q11a Q11c Q12a Q12b Q12c Q8a Q8c Q10a Q10b Q10c Q2b Q2c Q3a Q3b Q13a Q13b Q13c Q14a Q6a Q6b Q6c Q5a Q5b Q5c Q4a Q4b Q4c  /MISSING LISTWISE   /ANALYSIS Q11a Q11c Q12a Q12b Q12c Q8a Q8c Q10a Q10b Q10c Q2b Q2c Q3a Q3b Q13a Q13b Q13c Q14a Q6a Q6b Q6c Q5a Q5b Q5c Q4a Q4b Q4c  /PRINT INITIAL KMO EXTRACTION ROTATION  /FORMAT SORT BLANK(.3)  /CRITERIA FACTORS(7) ITERATE(25)  /EXTRACTION PAF  /CRITERIA ITERATE(25)  /ROTATION VARIMAX  /SAVE REG(ALL)  /METHOD=CORRELATION.

RELIABILITY/VARIABLES=Q11a Q11c Q12a Q12b Q12c/SCALE('Cognition') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q8a Q8c Q10a Q10b Q10c/SCALE('Feedback') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q2b Q2c Q3a Q3b/SCALE('Fitness concept') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q13a Q13b Q13c Q14a/SCALE('Support') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q6a Q6b Q6c/SCALE('Planning') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q5a Q5b Q5c/SCALE('Objectives') ALL/MODEL=ALPHA. RELIABILITY/VARIABLES=Q4a Q4b Q4c/SCALE('Physical literacy') ALL/MODEL=ALPHA.

RELIABILITY/VARIABLES=test.cog1 test.cog2 test.cog3 test.cog4 test.cog5 test.fib1 test.fib2 test.fib3 test.fib4 test.fib5 test.fitcon1 test.fitcon2 test.fitcon3 test.fitcon4 test.sub1 test.sub2 test.sub3 test.sub4 test.pla1 test.pla2 test.pla3 test.obj1 test.obj2 test.obj3 test.phyl1 test.phyl2 test.phyl3 retest.cog1 retest.cog2 retest.cog3 retest.cog4 retest.cog5 retest.fib1 retest.fib2 retest.fib3 retest.fib4 retest.fib5 retest.fitcon1 retest.fitcon2 retest.fitcon3 retest.fitcon4 retest.sub1 retest.sub2 retest.sub3 retest.sub4 retest.pla1 retest.pla2 retest.pla3 retest.obj1 retest.obj2 retest.obj3 retest.phyl1 retest.phyl2 retest.phyl3/SCALE('ALL VARIABLES') ALL/MODEL=ALPHA/ICC=MODEL(MIXED) TYPE(CONSISTENCY) CIN=95 TESTVAL=0. RELIABILITY/VARIABLES=test.cog1 test.cog2 test.cog3 test.cog4 test.cog5 test.fib1 test.fib2 test.fib3 test.fib4 test.fib5 test.fitcon1 test.fitcon2 test.fitcon3 test.fitcon4 test.sub1 test.sub2 test.sub3 test.sub4 test.pla1 test.pla2 test.pla3 test.obj1 test.obj2 test.obj3 test.phyl1 test.phyl2 test.phyl3 retest.cog1 retest.cog2 retest.cog3 retest.cog4 retest.cog5 retest.fib1 retest.fib2 retest.fib3 retest.fib4 retest.fib5 retest.fitcon1 retest.fitcon2 retest.fitcon3 retest.fitcon4 retest.sub1 retest.sub2 retest.sub3 retest.sub4 retest.pla1 retest.pla2 retest.pla3 retest.obj1 retest.obj2 retest.obj3 retest.phyl1 retest.phyl2 retest.phyl3/SCALE('ALL VARIABLES') ALL/MODEL=ALPHA/ICC=MODEL(MIXED) TYPE(ABSOLUTE) CIN=95 TESTVAL=0.
DOI: 10.5281/zenodo.14983450
title: First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil

description: Research data for the paper entitled: "First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil", containing supplementary material and information on sex, date and location of the specimens collected.
DOI: 10.5281/zenodo.14983451
title: First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil

description: Research data for the paper entitled: "First record of Megaloptera (Insecta: Neuropterida) from Sergipe state, Brazil", containing supplementary material and information on sex, date and location of the specimens collected.
DOI: 10.5281/zenodo.14802482
title: RaDISAN - Anagrafiche 2025 (aggiornamenti annuali)

description: ATTENZIONE: le anagrafiche pubblicate su Zenodo sono quelle consolidate del flusso dati RaDISAN ma aggiornate annualmente.

Le anagrafiche aggiornate in tempo reale sono disponibili unicamente in NSIS -> RaDISAN

E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente oppure fare il download del file zip che le contiene tutte.
DOI: 10.5281/zenodo.5552500
title: RaDISAN - Anagrafiche 2025 (aggiornamenti annuali)

description: ATTENZIONE: le anagrafiche pubblicate su Zenodo sono quelle consolidate del flusso dati RaDISAN ma aggiornate annualmente.

Le anagrafiche aggiornate in tempo reale sono disponibili unicamente in NSIS -> RaDISAN

E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente oppure fare il download del file zip che le contiene tutte.
DOI: 10.5281/zenodo.5552501
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN
DOI: 10.5281/zenodo.5746741
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile scaricare tutte le anagrafiche in un'unica soluzione selezionando il file !!!TutteLeAnagrafiche o in alternativa è possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.5786824
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile scaricare tutte le anagrafiche in un'unica soluzione selezionando il file !!!TutteLeAnagrafiche o in alternativa è possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.6583791
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile scaricare tutte le anagrafiche in un'unica soluzione selezionando il file !!!TutteLeAnagrafiche o in alternativa è possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.6839151
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile scaricare tutte le anagrafiche in un'unica soluzione selezionando il file !!!TutteLeAnagrafiche o in alternativa è possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.7051402
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.7533530
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.7906521
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente.
DOI: 10.5281/zenodo.8089348
title: RaDISAN - Anagrafiche

description: Anagrafiche consolidate del flusso dati RaDISAN E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente oppure fare il download del file zip che le contiene tutte.
DOI: 10.5281/zenodo.8090750
title: RaDISAN - Anagrafiche (aggiornamenti annuali)

description: ATTENZIONE: le anagrafiche pubblicate su Zenodo sono quelle consolidate del flusso dati RaDISAN ma aggiornate annualmente.

Le anagrafiche aggiornate in tempo reale sono disponibili unicamente in NSIS -> RaDISAN

E' possibile selezionare le anagrafiche di interesse e scaricarle singolarmente oppure fare il download del file zip che le contiene tutte.
DOI: 10.5281/zenodo.14203729
title: Research data for " Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics"

description: This dataset supports the paper "Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics".

The following files are provided:



The structure files of the 3,069 a-Si structures contained in our dataset., in .xyz format.

The pickled dataframe with the above-mentioned structures as ase.Atoms objects, and additional relevant information from our analysis.

The scripts used to generate the pickled dataframe, and to analyze our dataset.

The digitized experimental data used for comparison.
DOI: 10.5281/zenodo.14203730
title: Research data for " Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics"

description: This dataset supports the paper "Signatures of paracrystallinity in amorphous silicon from machine-learning-driven molecular dynamics".

The following files are provided:



The structure files of the 3,069 a-Si structures contained in our dataset., in .xyz format.

The pickled dataframe with the above-mentioned structures as ase.Atoms objects, and additional relevant information from our analysis.

The scripts used to generate the pickled dataframe, and to analyze our dataset.

The digitized experimental data used for comparison.
DOI: 10.15468/dl.f77a77
title: Occurrence Download

description: A dataset containing 2242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 2242 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007189-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbb8m6
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Stelis chamaestelis (Rchb.f.) Garay & Dunst."
 ]
}

 The dataset includes 40 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007190-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-vf79-0k17
title: Extreme Wind Speed Records in the Continental United States from 1973-2010

description: Extreme wind events associated with thunderstorms (convective events) in the United States from 1973 to 2010 were investigated. Data from the ISD 3505 dataset from NOAA was downloaded and searched for wind gust reports associated with convective events. A robust suite of wind gust speeds, directions, and timestamps were found and thunderstorm identifiers (1 or 0) were associated with these wind gusts through use of specific identification techniques. The data provided here can be re-used for other extreme wind climatology studies that require a geographic breadth and a relatively long time history.
DOI: 10.13023/2024.alum.167
title: Legumes (Beans, Peas, Tofu)

description: Includes data on the aluminum content of legumes (beans, peas, tofu)
DOI: 10.17603/aa8b-t594
title: NEESR E-Defense Base Isolation 2013: 4 Nonlinear FEM and Response 

description: Data from the 2013 E-Defense base isolated building experiments were used to construct calibrated nonlinear finite element models of the specimen.
DOI: 10.15468/dl.4kz3a6
title: Occurrence Download

description: A dataset listing the 4 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Xylaria corniformis (Fr.) Fr."
 ]
}

 The dataset's 4 records were derived from 55 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007187-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/fqql60
title: Dados curva binodal de sistemas formados por água + acetato butila_hexanol_pentanol + GVL

description: Os dados de composição da curva binodal foram obtidos através do método do ponto de névoa. Estes resultados foram publicados parcialmente no XXXII Congresso de Iniciação Científica Unicamp e no XII Congresso Brasileiro de Termodinâmica Aplicada.
DOI: 10.17603/ds29m31
title: The M9 Project Ground Motions

description: A suite of synthetic ground motions for a range of possible magnitude 9 earthquake rupture scenarios on the Cascadia megathrust.
DOI: 10.15468/dl.rfk2fk
title: Occurrence Download

description: A dataset containing 30184 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aedes albopictus (Skuse, 1894)",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 30184 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007191-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5e8wb9
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "PublishingOrg is c5f7ef70-e233-11d9-a4d6-b8a03c50a862",
 "TaxonKey is Senecio viminalis Bremek."
 ]
}

 The dataset includes 66 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007250-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rjnn44
title: Occurrence Download

description: A dataset containing 20874949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Passer domesticus (Linnaeus, 1758)",
 "Year 2000-2025"
 ]
}

 The dataset includes 20874949 records from 4499 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007183-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/5tecgh
title: Experimental database of horizontal air-water flow through orifice plate

description: This experimental database aimed to study the behavior of the air-water two-phase flow through thin orifice plates in a horizontal orientation. Two orifices with different area contraction ratios were tested. The database contains the raw pressure and dual impedance probe data in a fully instrumented test section. The test grid encompasses single- and two-phase flow. The superficial velocities of liquid varied from 0.20 m/s to 0.70 m/s, and gas varied from 0 m/s to 0.80 m/s.
DOI: 10.5281/zenodo.14212706
title: Real railway traffic - Alcacer Bridge in Portugal
DOI: 10.5281/zenodo.14212707
title: Real railway traffic - Alcacer Bridge in Portugal
DOI: 10.15468/dl.ep96sh
title: Occurrence Download

description: A dataset containing 1948433 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is one of (Brazil, Peru, Colombia)",
 "IucnRedListCategory is one of (CR, EN, VU, NT)"
 ]
}

 The dataset includes 1948433 records from 2477 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007242-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1048685.10fu
title: SH1048685.10FU

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/sh1048686.10fu
title: SH1048686.10FU

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.