cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1082496.10fu
title: SH1082496.10FU

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/sh1082497.10fu
title: SH1082497.10FU

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/sh1082499.10fu
title: SH1082499.10FU

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/sh1082500.10fu
title: SH1082500.10FU

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/sh1082501.10fu
title: SH1082501.10FU

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/sh1082502.10fu
title: SH1082502.10FU

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/sh1082505.10fu
title: SH1082505.10FU

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.28347353
title: Code for the paper "The productivity gradient explains global bird specialization better than climate stability"

description: We investigated the relative contributions of species richness, evolutionary age, long-term climate stability, and current climatic conditions (i.e., using aridity as a proxy of environmental harshness and the stress-productivity gradient), in shaping the degree of climatic, dietary, and habitat specialization in bird assemblages at a global scale. This project contains all the information necessary to replicate all the data processing and analysis performed in this study. <br>
DOI: 10.34740/kaggle/dsv/12328213
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.2zcjkx
title: Occurrence Download

description: A dataset containing 233 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is one of (CHN.31_1, CHN.24_1, CHN.15_1, CHN.1_1)",
 "OccurrenceStatus is Present",
 "TaxonKey is Grus japonensis (Statius Muller, 1776)"
 ]
}

 The dataset includes 233 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080250-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e42m2v
title: Occurrence Download

description: A dataset containing 5535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl.",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5535 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080256-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmydsr
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl.",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080252-250525065834625/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.29436341.v1
title: Ciprofloxacin-driven purifying selection on viral genomes accelerates soil N<sub>2</sub>O production

description: This is amplicon data of 16s rRNA sequencing
DOI: 10.15468/dl.6dxkjq
title: Occurrence Download

description: A dataset listing the 19326 species recorded in GBIF matching the query:
{
 "Country" : [
 "is Lao People’s Democratic Republic"
 ]
}

 The dataset's 19326 records were derived from 689 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080240-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cp9qwy
title: Occurrence Download

description: A dataset containing 1291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl.",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1291 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080255-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15772266
title: Data and Measurements of Emotional Resonance on Perspective Taking from Self and Others' Perspectives
DOI: 10.6084/m9.figshare.29436341
title: Amplicon data for ciprofloxacin-driven purifying selection on viral genomes accelerates soil N<sub>2</sub>O production

description: This is amplicon data of 16s rRNA sequencing
DOI: 10.6084/m9.figshare.29436341.v2
title: Amplicon data for "Ciprofloxacin-driven purifying selection on viral genomes accelerates soil N<sub>2</sub>O production"

description: This is amplicon data of 16s rRNA sequencing
DOI: 10.6084/m9.figshare.29436341.v3
title: Amplicon data for ciprofloxacin-driven purifying selection on viral genomes accelerates soil N<sub>2</sub>O production

description: This is amplicon data of 16s rRNA sequencing
DOI: 10.15468/dl.vdg6sz
title: Occurrence Download

description: A dataset containing 466358 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-0.2351 41.61,0.60087 41.61,0.60087 42.17109,-0.2351 42.17109,-0.2351 41.61))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 466358 records from 88 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080224-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15003392
title: Impact of wind-wave coupling on turbulence and air-sea fluxes: Insights from direct numerical simulation

description: DNS data of impact of wind-wave coupling on turbulence and air-sea fluxes, with simulations of coupled and uncoupled cases. It includes the dissipation rate of turbulent kinetic energy, mechanical energy of water column, velocity variances, the difference of velocity variances between coupled and uncoupled cases, anisotropy of Reynolds stress, mean velocity and temperature, momentum and heat flux budgets. The file can be opened using the software Tecplot. The information of files is described in the filename. The first text string in the filename represents the statistics analyzed in the manuscript. The second text string, “3.7” and “27.7” represent wave age, corresponding to wind sea and well conditions. The last text string represents the coupled conditions between wind and waves, “coupled” representing simulation of full coupling and “uncoupled” representing simulation with prescribed surface waves.
DOI: 10.5281/zenodo.15003393
title: Impact of wind-wave coupling on turbulence and air-sea fluxes: Insights from direct numerical simulation

description: DNS data of impact of wind-wave coupling on turbulence and air-sea fluxes, with simulations of coupled and uncoupled cases. It includes the dissipation rate of turbulent kinetic energy, mechanical energy of water column, velocity variances, the difference of velocity variances between coupled and uncoupled cases, anisotropy of Reynolds stress, mean velocity and temperature, momentum and heat flux budgets. The file can be opened using the software Tecplot. The information of files is described in the filename. The first text string in the filename represents the statistics analyzed in the manuscript. The second text string, “3.7” and “27.7” represent wave age, corresponding to wind sea and well conditions. The last text string represents the coupled conditions between wind and waves, “coupled” representing simulation of full coupling and “uncoupled” representing simulation with prescribed surface waves.
DOI: 10.15468/dl.cwy6ds
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acacia saligna (Labill.) H.L.Wendl.",
 "Country is Tunisia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080260-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ls/ndb8rl
title: Individual fuzzy-cognitive mapping surveys with smallholder farmers in Madre de Dios, Peru

description: This dataset contains social-ecological information about smallholder farming in the Peruvian Amazon.
Specifically, 58 farmers were surveyed in Madre de Dios, Peru, about their farm size, primary secondary and third economic activities, managed crops, animals, interactions with institutions, and future intentions related to land use.
During part of the interview, the researcher was hand-drawing a Fuzzy-cognitive map to represent farmers' social-ecological perception of their farming reality.
DOI: 10.17026/ls/1isjcs
title: Production of extracted natural resources in Madre de Dios, Peru, between 1862 and 2021

description: This dataset contains historical data about the production of natural resources in Madre de Dios, Peru, between 1862 and 2021. The data was gathered among various historical documents, public records, some available publicly.
DOI: 10.17026/ls/y92gkq
title: Serious game data on land use among smallholder farmers in Madre de Dios, Peru

description: This dataset is based on 20 game sessions played with 103 smallholder farmers in the Peruvian Amazon.
The data describes player's decision in the game regarding land use and collaboration with other players.
DOI: 10.5517/ccdc.csd.cc2nv4ym
title: CCDC 2468001: Experimental Crystal Structure Determination

description: Related Article: Elinor Spencer, Judith A.K. Howard|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2nv5mb
title: CCDC 2468022: Experimental Crystal Structure Determination

description: Related Article: Elinor Spencer, Judith A.K. Howard|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34810/data338
title: PANACEA English Gold Standard for lexical semantic classification

description: We present a set of English gold-standards for different noun classes created in PANACEA to train and test automatic classifiers. To create these gold-standards we used we the data from the SemEval 2007 workshop Task 07: Coarse Grained English All-Words (Navigli et al., 2007). The words used in this task were first automatically tagged with an automatic clustering method (Navigli, 2006) using senses based on the WordNet sense inventory and later manually validated by expert lexicographers. For our experiments, we extracted all of the words from this inventory that contained as their first sense a sense that corresponded to the lexical semantic classes, i.e. “people” in the case of the class HUMAN. These gold-standards were created in the context of PANACEA http://www.panacea-lr.eu), an EU-FP7 Funded Project under Grant Agreement 248064.
DOI: 10.15468/dl.5g8wah
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amorpha fruticosa L.",
 "Country is Bosnia and Herzegovina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080268-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5878/552f-3c11
title: PISA study 2015
title: PISA-undersökningen 2015

description: The data contains raw data in the form of the question texts used in the PISA survey 2015, as well as responses from all participating students. Instructions for the computer-based test are included; the material is unsorted.
The study examines the performance of Swedish 15-year-old students in the digital OECD Programme for International Student Assessment (PISA) test 2015. Data held by the OECD includes the results of Swedish students in the PISA survey at an aggregated level.

The data may contain sensitive personal information, and the use of such data requires an approved ethical permit from the Swedish Ethical Review Authority (Etikprövningsmyndigheten, EPM).
Questions regarding test confidentiality should be directed to the OECD.

Contains raw data in the form of question texts and responses for PISA 2015 from Swedish compulsory schools:
- CBA (digital test 2015); CBA = Computer Based Assessment
- Student codes (CSV format): All students’ codes indicating whether they answered each PISA 2015 question correctly or incorrectly
- Student responses PISA 2015 (PDF format): all student responses uncoded
- Instructions for the computer-based test 2015 (PDF format)
description: Data innehåller rådata i form av de frågetexter som användes i PISA-undersökningen 2015, samt svar från alla deltagande elever. Instruktioner till dataprovet finns med, materialet är osorterat.
Studien undersöker svenska 15 åriga elevers prestation i det digitala OECD-studien Programme for International Student Assessment PISA-provet 2015. Data hos OECD innehåller svenska elevers resultat i PISA-undersökningen på en aggregerad nivå.

Data kan innehålla känsliga personuppgifter och för användandet av sådana krävs ett godkänt etiktillstånd från Etikprövningsmyndigheten (EPM).
Frågor angående provsekretessen hänvisas till OECD. 

Innehåller rådata i form av frågetexter och svar till PISA 2015 från svenska grundskolor:
• CBA (digitalt prov 2015) CBA = Computer Based Assessment
• Elevkoder. (CSV-format) Alla elevers koder (om de svarat rätt eller fel) på alla uppgifter i PISA 2015
• Elevsvar PISA 2015 (PDF-format), alla elevers svar är okodade.
• Instruktioner till dataprov 2015 (PDF-format)

Rådata i form av frågor och svar till PISA 2015, 2012, 2009, 2006 och 2003 finns i pappersformat att tillgå vid lärosätets arkiv.