cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0154768.10fu
title: SH0154768.10FU

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: 10.3886/e242761v1
title: data-set-direct-diffusion

description: This dataset has 422 responses relating to direct and indirect technology diffusion
DOI: 10.15156/bio/sh0154769.10fu
title: SH0154769.10FU

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/sh0154770.10fu
title: SH0154770.10FU

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/sh0154771.10fu
title: SH0154771.10FU

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/sh0154772.10fu
title: SH0154772.10FU

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/sh0154773.10fu
title: SH0154773.10FU

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.4dcm95
title: Occurrence Download

description: A dataset containing 23029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Prunus lusitanica"
 ]
}

 The dataset includes 23029 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000781-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4s6u7r
title: Occurrence Download

description: A dataset containing 4124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Papaver somniferum",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 4124 records from 252 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012971-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18476623
title: GTEx v7 muscle skeletal tissue data used for MR.RGM real-data analysis

description: This record contains the real-data resources used in the GTEx-based analyses of the MR.RGM and MR.RGM+ methods.

The upload includes two archives:

1) GTEx.zip  This archive contains preprocessed genotype and gene expression matrices derived from the GTEx v7 project for muscle skeletal tissue. These files were prepared for direct use in the real-data analysis scripts provided in the associated code repository.

2) GTEx_Analysis_v7_eQTL.tar.gz  This archive contains publicly available GTEx v7 eQTL summary files for muscle skeletal tissue, including significant variant–gene pairs and eGenes, downloaded from the GTEx Portal.

The files in this record are provided to enable full reproducibility of the real-data analyses reported in the associated manuscript. Users can download and extract the archives and run the provided R scripts without additional preprocessing.

Original GTEx data were generated by the GTEx Consortium. This record redistributes derived and reorganized data products for methodological reproducibility only.
DOI: 10.5281/zenodo.18476622
title: GTEx v7 muscle skeletal tissue data used for MR.RGM real-data analysis

description: This record contains the real-data resources used in the GTEx-based analyses of the MR.RGM and MR.RGM+ methods.

The upload includes two archives:

1) GTEx.zip  This archive contains preprocessed genotype and gene expression matrices derived from the GTEx v7 project for muscle skeletal tissue. These files were prepared for direct use in the real-data analysis scripts provided in the associated code repository.

2) GTEx_Analysis_v7_eQTL.tar.gz  This archive contains publicly available GTEx v7 eQTL summary files for muscle skeletal tissue, including significant variant–gene pairs and eGenes, downloaded from the GTEx Portal.

The files in this record are provided to enable full reproducibility of the real-data analyses reported in the associated manuscript. Users can download and extract the archives and run the provided R scripts without additional preprocessing.

Original GTEx data were generated by the GTEx Consortium. This record redistributes derived and reorganized data products for methodological reproducibility only.
DOI: 10.7910/dvn/5xkz7y
title: The Global Leader Personality Dataset (GLPD), 1946-2022

description: This data project generates the personality scores for over 10,000 global leaders spanning a period of 75 years (1946 – 2022). Speeches, organized by year, are bootstrapped 100 times at the sentence level, and are processed through psycholinguistic dictionaries -- LIWC and MRCPD. This step generates counts and proportions of word usage across all linguistic categories in the relevant dictionaries. These counts and proportions are plugged into a pre-trained Personality Recognizer Model (Mairesse et al. 2007) in line with similar previous work on US legislators (Ramey et al. 2017). The model returns the Big Five personality scores (openness, conscientiousness, extraversion, agreeableness, and emotional stability) via SMOreg (Support Vector Machine Regression) on a scale of 1 to 7, where the larger value indicates the speaker ranking higher on a relevant trait and vice versa. 

By analyzing thousands of speeches delivered at the United Nations General Debates (UNGD) to detect the personalities of global leaders, this project contributes to the growing body of first image research, particularly within the psychological approach in International Relations and its stream of Foreign Policy Analysis. Theoretically, it advances trait models in the psychological approach by building on the lexical theory of personality psychology to examine the traits of global elites. Decades of research have demonstrated that linguistic cues, such as utterances, not only convey semantic information but also reveal aspects of the speaker, including personality traits. 

Methodologically, to the best of my knowledge, this project represents the first attempt in International Relations to analyze the linguistic cues of global leaders using machine learning tools to assess their psychological characteristics based on the Big Five framework. With its stability across the adult lifespan and generalizability across domains and cultures, the Big Five provides a parsimonious tool to study the personality traits of global leaders, reducing concerns about context- and time-specificity that affect other established content-analytic at-a-distance methods, such as Leadership Trait Analysis (LTA). 

Additionally, this project and relevant works based on this dataset demonstrate that translated speeches can capture the nuances of native languages using existing psycholinguistic dictionaries, even without developing a language-specific coding scheme. Moreover, I show that the psycholinguistic properties of UNGD speeches are highly comparable to more spontaneous forms of text, such as media interviews, which are often considered to reflect a “truer” personality. These findings give scholars greater confidence in using widely available public statements for analysis, despite the scarcity of more spontaneous textual statements.
DOI: 10.6084/m9.figshare.31259365
title: <b>Tourist trampling reduces soil enzyme activities through nitrogen limitation</b>

description: <b>Our results showed that: (1) </b>planted<b> grasslands had significantly lower baseline soil enzyme activities compared to secondary forest ecosystems; (2) </b><b>Tourist trampling reduced soil enzyme activities by 11.7-53.0% across three vegetation types</b><b>, with </b><b>artificial grasslands exhibiting less reduction (11.7-40.5%) than coniferous (25.0-53.0%) and deciduous forests (32.6-50.9%)</b>
DOI: 10.6084/m9.figshare.31259365.v1
title: <b>Tourist trampling reduces soil enzyme activities through nitrogen limitation</b>

description: <b>Our results showed that: (1) </b>planted<b> grasslands had significantly lower baseline soil enzyme activities compared to secondary forest ecosystems; (2) </b><b>Tourist trampling reduced soil enzyme activities by 11.7-53.0% across three vegetation types</b><b>, with </b><b>artificial grasslands exhibiting less reduction (11.7-40.5%) than coniferous (25.0-53.0%) and deciduous forests (32.6-50.9%)</b>
DOI: 10.7910/dvn/ygeake
title: Tempest Security Intelligence Firewall Statistics 2026
title: Firewall metrics for malicious active scan detection.
title: TSI-Firewall

description: Dataset used in the "An Unsupervised ML-Based IDS for Active Scan Detection using Firewall Logs" paper. 
The dataset contains firewall metrics used to train and test unsupervised machine learning based IDSs for the detection of malicious active scans on corporate networks.
DOI: 10.15468/dl.9cd5qh
title: Occurrence Download

description: A dataset containing 444046 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Taraxacum officinale"
 ]
}

 The dataset includes 444046 records from 2407 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012936-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tvykt2
title: Occurrence Download

description: A dataset containing 3898581 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta",
 "Year 1948-2025"
 ]
}

 The dataset includes 3898581 records from 886 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008125-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15139191
title: Table 1 in Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic

description: Table 1. Metadata of the deployment and recovery of the colonization experiments in the Gulf of Cadiz and of the sample recovered at the Estremadura Spur.
Site coordinatesDeploymentRecoveryDDSiteLatitudeLongitudeDepthCruise-DiveDateCruise-DiveDateSample(days)Mercator MV35º17.916′ N06º38.709′ W354 mJC10-D2819 May 200764PE284-D8 64PE284-D92 Mar. 2008 3 Mar. 2008290 291B09-14b-D0119 May 200901731Mèknes MV34º59.091′ N07º04.424′ W698 m64PE284-D071 Mar. 2008B09-14b-D0320 May 200903446Darwin MV35º23.523′ N07º11.513′ W1100 mJC10-D3321 May 2007B09-14b-D0219 May 200902729Estremadura Spur39°17.295′ N10°01.045′ W327 mNANAPES- ROVL17-D011 Jun. 2017pick#3WNA
DD = deployment duration; MV = mud volcano; NA = not applicable.
description: Published as part of Ravara, Ascensão, Wiklund, Helena & Cunha, Marina R., 2021, Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic, pp. 46 in European Journal of Taxonomy 736 on page 46, DOI: 10.5852/ejt.2021.736.1251, http://zenodo.org/record/4570204
DOI: 10.5281/zenodo.15139192
title: Table 1 in Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic

description: Table 1. Metadata of the deployment and recovery of the colonization experiments in the Gulf of Cadiz and of the sample recovered at the Estremadura Spur.
Site coordinatesDeploymentRecoveryDDSiteLatitudeLongitudeDepthCruise-DiveDateCruise-DiveDateSample(days)Mercator MV35º17.916′ N06º38.709′ W354 mJC10-D2819 May 200764PE284-D8 64PE284-D92 Mar. 2008 3 Mar. 2008290 291B09-14b-D0119 May 200901731Mèknes MV34º59.091′ N07º04.424′ W698 m64PE284-D071 Mar. 2008B09-14b-D0320 May 200903446Darwin MV35º23.523′ N07º11.513′ W1100 mJC10-D3321 May 2007B09-14b-D0219 May 200902729Estremadura Spur39°17.295′ N10°01.045′ W327 mNANAPES- ROVL17-D011 Jun. 2017pick#3WNA
DD = deployment duration; MV = mud volcano; NA = not applicable.
description: Published as part of Ravara, Ascensão, Wiklund, Helena & Cunha, Marina R., 2021, Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic, pp. 46 in European Journal of Taxonomy 736 on page 46, DOI: 10.5852/ejt.2021.736.1251, http://zenodo.org/record/4570204
DOI: 10.15468/dl.6jfbj9
title: Occurrence Download

description: A dataset containing 743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vachellia amythethophylla (Steud. ex A.Rich) Kyal. & Boatwr.",
 "Continent is Africa"
 ]
}

 The dataset includes 743 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005870-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15139195
title: Table 3 in Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic

description: Table 3. Number of specimens for each species at the four studied sites.
Gulf of CadizWIMSiteMercator MVMèknes MVDarwin MVESCruise64PE284B09-14b64PE284B09-14bB09-14bB09-14b B09-14bB09-4bPES-ROVL17Sample12750W01W12752A03W03A02W02A02Cpick#3WO. cantabrica–9–4––––135O. chemecoli sp. nov.59(+3 cf.)111––1–7O. geoffreadi sp. nov.–––3551515––O. hartmanni–11––1–––O. cf. lipscombae1–––––––51O. mammillata3–––115––O. nunezi sp. nov.63–––––––O. scutellus13(+2 cf.)11 cf.114–61–Parougia ougi sp. nov.1––––––––
MV = mud volcano; A = alfalfa substrate; W = wood substrate; C = carbonate substrate.
description: Published as part of Ravara, Ascensão, Wiklund, Helena & Cunha, Marina R., 2021, Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic, pp. 74 in European Journal of Taxonomy 736 on page 74, DOI: 10.5852/ejt.2021.736.1251, http://zenodo.org/record/4570204
DOI: 10.5281/zenodo.15139196
title: Table 3 in Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic

description: Table 3. Number of specimens for each species at the four studied sites.
Gulf of CadizWIMSiteMercator MVMèknes MVDarwin MVESCruise64PE284B09-14b64PE284B09-14bB09-14bB09-14b B09-14bB09-4bPES-ROVL17Sample12750W01W12752A03W03A02W02A02Cpick#3WO. cantabrica–9–4––––135O. chemecoli sp. nov.59(+3 cf.)111––1–7O. geoffreadi sp. nov.–––3551515––O. hartmanni–11––1–––O. cf. lipscombae1–––––––51O. mammillata3–––115––O. nunezi sp. nov.63–––––––O. scutellus13(+2 cf.)11 cf.114–61–Parougia ougi sp. nov.1––––––––
MV = mud volcano; A = alfalfa substrate; W = wood substrate; C = carbonate substrate.
description: Published as part of Ravara, Ascensão, Wiklund, Helena & Cunha, Marina R., 2021, Four new species and further records of Dorvilleidae (Annelida, Polychaeta) from deep-sea organic substrata, NE Atlantic, pp. 74 in European Journal of Taxonomy 736 on page 74, DOI: 10.5852/ejt.2021.736.1251, http://zenodo.org/record/4570204
DOI: 10.5281/zenodo.15139199
title: Table 2 in The Discovery Expedition sea cucumbers (Echinodermata: Holothuroidea)

description: Table 2. Type specimens of Discovery Expedition Holothuroidea published in Heding & Panning 1954.
TaxonType statusStation collectedLocality collectedDepthDate collectedInstitution lodgedRegistrationClarkiella discoveryi Heding (in Heding & Panning, 1954)1HolotypeD 474W of Shag Rocks South Georgia199 m19 Nov 1930ZMUCHOL–000064Clarkiella discoveryi Heding, 19541ParatypeD 474W of Shag Rocks South Georgia199 m19 Nov 1930ZMUCHOL–000247Parathyonidium incertum Heding (in Heding & Panning, 1954)2, 3Holotype3Lost specimen3HOL–000093Parathyonidium incertumParatypes (3)D 170Clarence Island342 m23 Feb 1927ZMUCHOL–000300Parathyonidium incertum Heding, 1954Paratypes (3) D 170Clarence Island342 m23 Feb 1927NHMUKNHMUK 2011.171–173Parathyonidium incertum Heding, 1954Partypes (2)No record Elephant Island600 mNo recordMNHNMNHN– IE–2013–2479
1 No Discovery station data were reported for Clarkiella discoveryi with the description of the new taxa in Heding & Panning 1954, but registered and labelled holotype and paratype (one) specimens are in the ZMUC with type status, station number and collection data (see Table 2 above with station data from the labels with the types in the ZMUC). Both type specimens were collected from the same type locality, station D474.
2 The station data reported for the type for Parathyonidium incertum in Heding & Panning (1954) is station D474. We judge that this may be a mistake since it is the type locality on the labels for Clarkiella discoveryi. The holotype specimen is assumed to be lost as no “holotype” has been found. But there are paratypes from station D170, and a note on the label with them translated by Tom Schioette in 2013 reads: “Does the identification with them include also the large specimens? Heding’s serial number 234–236 st. 170”. With some reservation we judge that the holotype was most probably also from the paratype station D170, and not station D474 as published in Heding & Panning (1954).
3 Note by Tom Schioette in 2013: “The holotype of Parathyonidium incertum, which should probably have been (or perhaps was) returned with the “Discovery” material after Heding’s death, was later given the ZMUC number HOL-93 in absentia. It must probably be considered lost, since later workers on the material have not succeeded in finding it”.
description: Published as part of O'Loughlin, P. Mark, 2016, The Discovery Expedition sea cucumbers (Echinodermata: Holothuroidea), pp. 66 in Memoirs of Museum Victoria 75 on page 66, DOI: 10.24199/j.mmv.2016.75.03, http://zenodo.org/record/10886820