cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1071850.10fu
title: SH1071850.10FU

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/sh1071853.10fu
title: SH1071853.10FU

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/sh1071856.10fu
title: SH1071856.10FU

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/sh1071857.10fu
title: SH1071857.10FU

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/sh1071862.10fu
title: SH1071862.10FU

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/sh1071863.10fu
title: SH1071863.10FU

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/sh1071864.10fu
title: SH1071864.10FU

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/sh1071865.10fu
title: SH1071865.10FU

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/sh1071868.10fu
title: SH1071868.10FU

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/sh1071869.10fu
title: SH1071869.10FU

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.qn6sqc
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pheidole teneriffana Forel, 1893",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 82 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001025-250310093411724/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.28569215
title: DATASET Ulomoides dermestoides

description: El archivo de base de datos titulado <i>Ensayo </i> contiene información sobre el impacto de diversas sustancias en el insecto <i>Ulomoides dermestoides</i>. Incluye hojas con datos sobre diferentes compuestos, como <i>Salvia</i>, <i>Chincho</i>, <i>Pampa orégano</i> y <i>Eucaliptus globulus</i>. Además, presenta análisis estadísticos mediante tablas descriptivas, gráficos de eficacia y diagramas de cajas. También incluye estudios de toxicidad (CL50, CL80) para evaluar el efecto de los tratamientos sobre la especie en estudio. ​​
DOI: 10.5281/zenodo.15002279
title: Vertical Axis Turbine Files
DOI: 10.5281/zenodo.15002280
title: Vertical Axis Turbine Files
DOI: 10.5281/zenodo.14935394
title: Persuasion annotated dialogs of LLM agents from the Among Them framework

description: The dataset contains dialogs of different LLMs from the discussion phase of a text-based Among Us-like game. The phrases in the dataset were annotated according to 25 selected persuasion techniques: Appeal to Logic, Appeal to Emotion, Appeal to Credibility, Shifting the Burden of Proof, Bandwagon Effect, Distraction, Gaslighting, Appeal to Urgency, Deception, Lying, Feigning Ignorance, Vagueness, Minimization, Self-Deprecation, Projection, Appeal to Relationship, Humor, Sarcasm, Withholding Information, Exaggeration, Denial without Evidence, Strategic Voting Suggestion, Appeal to Rules, Confirmation Bias Exploitation, Information Overload.The annotation was performed automatically by few-shot prompting a Gemini Flash 1.5 model with a temperature of 0. On a random sample of 11 games involving a total of 509 persuasion tags, Krippendorff's alpha inter-rater agreement between human annotations and the persuasion tagger was 0.56. For the definitions of the persuasion techniques please refer to the associated publication: Among Them: A game-based framework for assessing persuasion capabilities of LLMs.
DOI: 10.5281/zenodo.14935395
title: Persuasion annotated dialogs of LLM agents from the Among Them framework

description: The dataset contains dialogs of different LLMs from the discussion phase of a text-based Among Us-like game. The phrases in the dataset were annotated according to 25 selected persuasion techniques: Appeal to Logic, Appeal to Emotion, Appeal to Credibility, Shifting the Burden of Proof, Bandwagon Effect, Distraction, Gaslighting, Appeal to Urgency, Deception, Lying, Feigning Ignorance, Vagueness, Minimization, Self-Deprecation, Projection, Appeal to Relationship, Humor, Sarcasm, Withholding Information, Exaggeration, Denial without Evidence, Strategic Voting Suggestion, Appeal to Rules, Confirmation Bias Exploitation, Information Overload.The annotation was performed automatically by few-shot prompting a Gemini Flash 1.5 model with a temperature of 0. On a random sample of 11 games involving a total of 509 persuasion tags, Krippendorff's alpha inter-rater agreement between human annotations and the persuasion tagger was 0.56. For the definitions of the persuasion techniques please refer to the associated publication: Among Them: A game-based framework for assessing persuasion capabilities of LLMs.
DOI: 10.15468/dl.qcvx6r
title: Occurrence Download

description: A dataset containing 1176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Canada",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lagopus leucura (Richardson, 1831)",
 "Year 2020-2025"
 ]
}

 The dataset includes 1176 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001027-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15002309
title: ZooMS_raw data_Pakepu&Comparison fragments

description: ZooMS raw data for the coffin set of Pakepu and comparison fragments
DOI: 10.5281/zenodo.15002310
title: ZooMS_raw data_Pakepu&Comparison fragments

description: ZooMS raw data for the coffin set of Pakepu and comparison fragments
DOI: 10.15468/dl.dppmzz
title: Occurrence Download

description: A dataset containing 54091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eleutherodactylus Duméril & Bibron, 1841"
 ]
}

 The dataset includes 54091 records from 213 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000998-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.acey3r
title: Occurrence Download

description: A dataset containing 53 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is North America",
 "DatasetKey is one of (Royal Botanic Gardens, Kew - Herbarium Specimens, NMNH Extant Specimen Records (USNM, US), Tropicos Specimens Non-MO, Digitalización y sistematización de las colecciones biológicas del INECOL (Herbario))",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "PublishingOrg is 061b4f20-f241-11da-a328-b8a03c50a862",
 "TaxonKey is Pouteria sapota (Jacq.) H.E.Moore & Stearn"
 ]
}

 The dataset includes 53 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001030-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsb8n7
title: Occurrence Download

description: A dataset containing 1728 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phoracantha semipunctata (Fabricius, 1775)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1728 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001031-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jy9haf
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((-1.4 53.3,-1.3 53.3,-1.3 53.4,-1.4 53.4,-1.4 53.3))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 5 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001028-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15002281
title: راز کیهان کشف شد

description: راز کیهان و زمان کیهانی کشف شد
DOI: 10.5281/zenodo.15002282
title: راز کیهان کشف شد

description: راز کیهان و زمان کیهانی کشف شد
DOI: 10.5281/zenodo.15001745
title: Unlocking the Secrets of Scenic Beauty: A Quantitative Analysis of Object Variety and Connections in Scenic Images

description: Description of the data and file structure

This repository contains the code and data for the paper "Understanding the Impact of Object Diversity and Connectivity on Scenic Appeal: A Quantitative Analysis," published in the Journal of the Royal Society Interface.

Code:



The codebase developed in this study includes scripts for data downloading, processing, and implementing two linear mixed-effects (LME) regression models for data analysis.


Dataset:



Scenicness scores for the Geograph photographs were obtained from the Scenic-Or-Not project, including three randomly selected batches of subsets.

Three batches of photograph IDs, each containing 10,000 randomly selected records from the Scenic-Or-Not dataset, are available for download from the Geograph website.
DOI: 10.15468/dl.ucyz57
title: Occurrence Download

description: A dataset listing the 1 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Soldierflies and Allies Recording Scheme - data verified via iRecord",
 "Geometry POLYGON((-1.1 53.9,-1 53.9,-1 54,-1.1 54,-1.1 53.9))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2015"
 ]
}

 The dataset's 1 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001029-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cccyfe
title: Occurrence Download

description: A dataset containing 181528 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Arctostaphylos uva-ursi (L.) Spreng.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 181528 records from 352 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001024-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rw8tj9
title: Occurrence Download

description: A dataset containing 226650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-106.51592 13.75015,-77.15167 13.75015,-77.15167 32.19977,-106.51592 32.19977,-106.51592 13.75015))",
 "TaxonKey is Polychaeta"
 ]
}

 The dataset includes 226650 records from 170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001026-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14916607
title: Supplementary files for manuscript metabolomics feed efficiency and growth in Italian Large White pigs
DOI: 10.5281/zenodo.14916608
title: Supplementary files for manuscript metabolomics feed efficiency and growth in Italian Large White pigs
DOI: 10.5281/zenodo.15002448
title: Supplementary files for manuscript metabolomics feed efficiency and growth in Italian Large White pigs
DOI: 10.15468/dl.4ddhf9
title: Occurrence Download

description: A dataset containing 1250 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Plinthisus brevipennis (Latreille, 1807)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1250 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001032-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jacnjj
title: Occurrence Download

description: A dataset containing 2490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is United States of America",
 "Month is one of (November, December, October, September)",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)",
 "Year 2016-2016"
 ]
}

 The dataset includes 2490 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001033-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.