cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1375237.10fu
title: SH1375237.10FU

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/sh1375238.10fu
title: SH1375238.10FU

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/sh1375239.10fu
title: SH1375239.10FU

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.9xjbjn
title: Occurrence Download

description: A dataset containing 18418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ochna L."
 ]
}

 The dataset includes 18418 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0245653-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ja3sv3
title: Occurrence Download

description: A dataset containing 1033564 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Ocotea acuminatissima (Lundell) Rohwer, Ocotea amazonica (Meisn.) Mez, Ocotea alpina R.A.Howard, Ocotea atirrensis Mez & Donn.Sm. ex Mez, Ocotea atlantica van der Werff, Ocotea aurantiodora (Ruiz & Pav.) Mez, Ocotea auriculiformis Kosterm., Ocotea bernoulliana Mez, Ocotea corymbosa (Meisn.) Mez, Ocotea bofo Kunth, Ocotea botrantha Rohwer, Ocotea bourgeauviana (Mez) van der Werff, Lauraceae, Ocotea catharinensis Mez, Ocotea cernua (Nees) Mez, Ocotea dendrodaphne Mez, Ocotea dentata van der Werff, Ocotea diospyrifolia (Meisn.) Mez, Ocotea dispersa (Nees & Mart. ex Nees) Mez, Ocotea effusa (Meisn.) Hemsl., Ocotea floribunda (Sw.) Mez, Ocotea foetens (Aiton) Baill., Ocotea glaziovii Mez, Ocotea guatemalensis Lundell, Ocotea helicterifolia (Meisn.) Hemsl., Ocotea heydeana (Mez & Donn.Sm.) Bernardi, Ocotea insignis Mez, Ocotea insularis (Meisn.) Mez, Ocotea jorge-escobarii C.Nelson, Ocotea kenyensis (Chiov.) Robyns & R.Wilczek, Ocotea laetevirens Standl. & Steyerm., Ocotea leucoxylon (Sw.) Mez, Ocotea tristis (Nees & Mart.) Mez ex Nees, Lauraceae, Ocotea magnifolia (Lundell) Lundell, Ocotea magnilimba Kosterm., Ocotea meziana C.K.Allen, Ocotea minarum Mart. ex Nees, Ocotea nectandrifolia Mez, Ocotea nervosa Kosterm., Ocotea notata (Nees & Mart.) Mez, Ocotea nutans (Nees) Mez, Ocotea odorifera (Vell.) Rohwer, Ocotea porosa (Mez) Barroso, Ocotea puberula (Rich.) Nees, Ocotea pulchella Mart., Ocotea racemosa (Danguy) Kosterm., Ocotea rhytidotricha Rohwer, Ocotea rovirosae Lorea-Hern. & van der Werff, Ocotea rubriflora Mez, Ocotea silvestris Vattimo-Gil, Ocotea sinuata (Mez) Rohwer, Ocotea whitei Woodson, Ocotea spixiana (Nees) Mez, Ocotea standleyi C.K.Allen, Ocotea strigosa van der Werff, Ocotea tabacifolia (Meisn.) Rohwer, Ocotea teleiandra (Meisn.) Mez, Ocotea tomentosa van der Werff, Ocotea usambarensis Engl., Ocotea uxpanapana T.Wendt & van der Werff, Ocotea veraguensis (Meisn.) Mez, Ocotea verticillata Rohwer)"
 ]
}

 The dataset includes 1033564 records from 1998 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0230463-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tlzyo4
title: Occurrence Download

description: A dataset containing 635635297 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 635635297 records from 13639 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066754-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11937122
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.hy5ev7
title: Occurrence Download

description: A dataset containing 80965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans Say, 1823"
 ]
}

 The dataset includes 80965 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016850-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c933q
title: Occurrence Download

description: A dataset containing 229104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PER.16_1",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 229104 records from 270 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016848-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34863/0rh9-yn63
title: Dataset: Corroborating the magnetic easy axis of epitaxial (100) α-iron and (0001) BaFe12O19 thin films by 57Fe Mössbauer spectroscopy

description: Dataset associated with https://doi.org/10.1063/5.0244334. This dataset supports the structural and magnetic characterization of epitaxial thin films used in the study of magnetic anisotropy and crystallographic orientation. It includes experimental data collected from 60 nm and 120 nm thick epitaxial films of isotopically enriched body-centered cubic α-⁵⁷Fe grown on (100) MgO substrates, as well as from an epitaxial (0001) BaFe₁₂O₁₉ film grown on a Sr₁.₀₃Ga₁₀.₈₁Mg₀.₅₈Zr₀.₅₈O₁₉ single crystal substrate. The dataset comprises XRD, RHEED, and CEMS measurements. The dataset provides raw and processed spectra, diffraction patterns, and supporting metadata, enabling further analysis and reproducibility.
DOI: 10.15468/dl.ey7nfj
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is Pl@ntNet observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Brassica napus L.",
 "Year 2023-2024"
 ]
}

 The dataset includes 939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016851-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29144348
title: AH&AITD – Arslan’s Human and AI Text Database

description: AH&AITD is a comprehensive benchmark dataset designed to support the evaluation of AI-generated text detection tools. The dataset contains <b>11,580 samples</b> spanning both <b>human-written</b> and <b>AI-generated</b> content across multiple domains. It was developed to address limitations in previous datasets, particularly in terms of diversity, scale, and real-world applicability. To facilitate research in the detection of AI-generated text by providing a diverse, multi-domain dataset. This dataset enables fair benchmarking of detection tools across various writing styles and content categories.<b>Composition</b><b>1. Human-Written Samples (Total: 5,790)</b>Collected from:<b>Open Web Text</b> (2,343 samples)<b>Blogs</b> (196 samples)<b>Web Text</b> (397 samples)<b>Q&A Platforms</b> (670 samples)<b>News Articles</b> (430 samples)<b>Opinion Statements</b> (1,549 samples)<b>Scientific Research Abstracts</b> (205 samples)<b>2. AI-Generated Samples (Total: 5,790)</b>Generated using:<b>ChatGPT</b> (1,130 samples)<b>GPT-4</b> (744 samples)<b>Paraphrase Models</b> (1,694 samples)<b>GPT-2</b> (328 samples)<b>GPT-3</b> (296 samples)<b>DaVinci (GPT-3.5 variant)</b> (433 samples)<b>GPT-3.5</b> (364 samples)<b>OPT-IML</b> (406 samples)<b>Flan-T5</b> (395 samples)<b>Citation:</b>Akram, A. (2023). <i>AH&AITD: Arslan’s Human and AI Text Database</i>. [Dataset]. Associated with the article: <i>An Empirical Study of AI-Generated Text Detection Tools</i>. Advances in Machine Learning & Artificial Intelligence, 4(2), 44–55.
DOI: 10.6084/m9.figshare.29144348.v1
title: AH&AITD – Arslan’s Human and AI Text Database

description: AH&AITD is a comprehensive benchmark dataset designed to support the evaluation of AI-generated text detection tools. The dataset contains <b>11,580 samples</b> spanning both <b>human-written</b> and <b>AI-generated</b> content across multiple domains. It was developed to address limitations in previous datasets, particularly in terms of diversity, scale, and real-world applicability. To facilitate research in the detection of AI-generated text by providing a diverse, multi-domain dataset. This dataset enables fair benchmarking of detection tools across various writing styles and content categories.<b>Composition</b><b>1. Human-Written Samples (Total: 5,790)</b>Collected from:<b>Open Web Text</b> (2,343 samples)<b>Blogs</b> (196 samples)<b>Web Text</b> (397 samples)<b>Q&A Platforms</b> (670 samples)<b>News Articles</b> (430 samples)<b>Opinion Statements</b> (1,549 samples)<b>Scientific Research Abstracts</b> (205 samples)<b>2. AI-Generated Samples (Total: 5,790)</b>Generated using:<b>ChatGPT</b> (1,130 samples)<b>GPT-4</b> (744 samples)<b>Paraphrase Models</b> (1,694 samples)<b>GPT-2</b> (328 samples)<b>GPT-3</b> (296 samples)<b>DaVinci (GPT-3.5 variant)</b> (433 samples)<b>GPT-3.5</b> (364 samples)<b>OPT-IML</b> (406 samples)<b>Flan-T5</b> (395 samples)<b>Citation:</b>Akram, A. (2023). <i>AH&AITD: Arslan’s Human and AI Text Database</i>. [Dataset]. Associated with the article: <i>An Empirical Study of AI-Generated Text Detection Tools</i>. Advances in Machine Learning & Artificial Intelligence, 4(2), 44–55.
DOI: 10.15468/dl.ktja9e
title: Occurrence Download

description: A dataset containing 9934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pseudolmedia Trécul"
 ]
}

 The dataset includes 9934 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016855-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp836u
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coelognathus helena helena"
 ]
}

 The dataset includes 221 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016853-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n8aqn5
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.16.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Roystonea regia (Kunth) O.F.Cook",
 "Year 2020-2025"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016852-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3c3h6e
title: Occurrence Download

description: A dataset containing 805 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Coelognathus helena (Daudin, 1803)"
 ]
}

 The dataset includes 805 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016856-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29144354
title: Prediction uploaded on May 24 regarding the outcome of the Empoli/Verona on May 25

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.6084/m9.figshare.29144354.v1
title: Prediction uploaded on May 24 regarding the outcome of the Empoli/Verona on May 25

description: Further details about the study are available at the following links:<br>https://osf.io/pcwah<br>https://osf.io/xsb9t
DOI: 10.15468/dl.8u5wp3
title: Occurrence Download

description: A dataset containing 416 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pseudomalmea Chatrou"
 ]
}

 The dataset includes 416 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016857-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcake4
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is Pl@ntNet observations",
 "OccurrenceStatus is Present",
 "PublishingOrg is da86174a-a605-43a4-a5e8-53d484152cd3",
 "TaxonKey is Brassica napus L.",
 "Year 2023-2024"
 ]
}

 The dataset includes 939 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016859-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9r69u
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "GadmGid is IND.16.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Corvus splendens splendens"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016860-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g73g38
title: Occurrence Download

description: A dataset containing 32775 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Pseudopanax K.Koch"
 ]
}

 The dataset includes 32775 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016863-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zze2dv
title: Occurrence Download

description: A dataset containing 73782 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is PER.15_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2021-2021"
 ]
}

 The dataset includes 73782 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016862-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2dfgex
title: Occurrence Download

description: A dataset containing 97862 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is MEX.15_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2021-2021"
 ]
}

 The dataset includes 97862 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016861-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34863/ehb7-nm73
title: Dataset: Improper Ferroelectricity at the Monolayer Limit

description: Raw data supporting the study on ultrathin improper ferroelectricity in hexagonal LuFeO₃ (h-LuFeO₃) films, as described in the associated publication (https://doi.org/10.48550/arXiv.2503.06214). This includes raw and processed experimental data characterizing the structural, ferroelectric, and thermal properties of 0.75-unit-cell-thick h-LuFeO₃ films grown on SrCo₂Ru₄O₁₁ electrodes with a monolayer bridging layer. The dataset contains high-resolution microscopy images, X-ray diffraction (XRD) patterns, polarization–electric field (P–E) hysteresis loops, temperature-dependent measurements, and supporting computational data. These data demonstrate the persistence of ferroelectricity and high Curie temperature in the ultrathin limit, confirming the absence of a critical thickness for improper ferroelectrics.
DOI: 10.34740/kaggle/dsv/11936841
title: AH&AITD – Arslan’s Human and AI Text Database
DOI: 10.34740/kaggle/dsv/11937300
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.29144384
title: Raw data for the manuscript "<b>The role of long-range non-specific electrostatic interactions in inhibiting the pre-fusion proteolytic processing of the SARS-CoV-2 S glycoprotein by heparin</b>"

description: The proteolytic processing of the SARS-CoV-2 spike glycoprotein by host cell membrane-associated proteases is a key step in both the entry of the invading virus into the cell and the release of the newly generated viral particles from the infected cell. Because of the critical importance of this step for the viral infectivity cycle, it has been a target of extensive efforts aimed at identifying highly specific protease inhibitors as potential antiviral agents. An alternative strategy to disrupt the pre-fusion processing of the SARS-CoV-2 S glycoprotein aims to protect the substrate rather than directly inhibiting the proteases. In this work, we focused on furin, a serine protease located primarily in the Golgi apparatus, but also present on the cell membrane. Its cleavage site within the S glycoprotein is located within the stalk region of the latter and comprises an arginine-rich segment (SPRRARS), which fits the definition of the Cardin–Weintraub glycosaminoglycan recognition motif. Native mass spectrometry (MS) measurements confirmed the binding of a hexadecameric peptide representing the loop region at the S1/S2 interface and incorporating the furin cleavage site (FCS) to a range of heparin fragments of various lengths, as well as unfractionated heparin (UFH), although at the physiological ionic strength, only UFH remains tightly bound to the FCS. The direct LC/MS monitoring of FCS digestion with furin revealed a significant impact of both heparin fragments and UFH on the proteolysis kinetics, although only the latter had IC50 values that could be considered physiologically relevant (0.6 ± 0.1 mg/mL). The results of this work highlight the importance of the long-range and relatively non-specific electrostatic interactions in modulating physiological and pathological processes and emphasize the multi-faceted role played by heparin in managing coronavirus infections.