cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0211402.10fu
title: SH0211402.10FU

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/sh0211403.10fu
title: SH0211403.10FU

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/sh0211404.10fu
title: SH0211404.10FU

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: 10.5281/zenodo.15197106
title: Data Repository for Preparatory Phase of Major Earthquakes during Campi Flegrei Unrest (2020-2024)

description: Repository containing metadata used in the manuscript Preparatory Phase of Major Earthquakes during Campi Flegrei Unrest (2020-2024), from the same authors. The repository contains also the MATLAB scripts to recreate the Figures in the paper and the Figures themselves.
DOI: 10.5281/zenodo.15197108
title: Data Repository for Preparatory Phase of Major Earthquakes during Campi Flegrei Unrest (2020-2024)

description: Repository containing metadata used in the manuscript Preparatory Phase of Major Earthquakes during Campi Flegrei Unrest (2020-2024), from the same authors. The repository contains also the MATLAB scripts to recreate the Figures in the paper and the Figures themselves.
DOI: 10.5281/zenodo.15199061
title: Data Repository for Preparatory Phase of Major Earthquakes during Campi Flegrei Unrest (2020-2024)

description: Repository containing metadata used in the manuscript Preparatory Phase of Major Earthquakes during Campi Flegrei Unrest (2020-2024), from the same authors. The repository contains also the MATLAB scripts to recreate the Figures in the paper and the Figures themselves.
DOI: 10.15468/dl.cbx3dj
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diplodus capensis (Smith, 1844)"
 ]
}

 The dataset's 3 records were derived from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000303-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9ke6qw
title: Occurrence Download

description: A dataset containing 765593 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Xeno-canto - Bird sounds from around the world"
 ]
}

 The dataset includes 765593 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000306-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/dwbgxtbj5v
title: LINF_360019900

description: Peptidase S1, PA clan; Leishmania infantum (strain JPCM5)
DOI: 10.17632/mxw32dmpdk
title: LINF_350031900

description: ankyrin repeat protein
Leishmania infantum (strain JPCM5)
DOI: 10.17632/c6vc3z6v3j
title: LINF_360049100

description: Rieske [2Fe-2S] iron-sulphur domain-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.z3k4nn
title: Occurrence Download

description: A dataset containing 106592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Uruguay",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 106592 records from 336 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000309-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21942/uva.28458422
title: Data set belonging to Janssen et al. (2025). A harsher reality for adolescents with depression on social media

description: This data set belongs to:Janssen, L.H.C., Valkenburg, P.M., Keijsers, L., & Beyens, I. (2025). A harsher reality for adolescents with depression on social media. <i>Scientific Reports</i>.More information about the study is available on the Open Science Framework (OSF), including information about the design and procedure (https://osf.io/k47ta), the preregistration of the research aims and analysis plan (https://osf.io/nmj5b), and all syntax files (https://osf.io/kvy9j/).For more information, please contact the authors at l.h.c.janssen@uu.nl or info@project-awesome.nl.
DOI: 10.21942/uva.28458422.v1
title: Data set belonging to Janssen et al. (2025). A harsher reality for adolescents with depression on social media

description: This data set belongs to:Janssen, L.H.C., Valkenburg, P.M., Keijsers, L., & Beyens, I. (2025). A harsher reality for adolescents with depression on social media. <i>Scientific Reports</i>.More information about the study is available on the Open Science Framework (OSF), including information about the design and procedure (https://osf.io/k47ta), the preregistration of the research aims and analysis plan (https://osf.io/nmj5b), and all syntax files (https://osf.io/kvy9j/).For more information, please contact the authors at l.h.c.janssen@uu.nl or info@project-awesome.nl.
DOI: 10.17632/8f4kgzt5y8
title: LINF_340038125

description: AAA domain containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.5284/1126120
title: Site Data from a Building Recording and Survey at Lane House Farm, Butterton, Staffordshire, August-September 2023

description: This collection comprises a report, images, and vector data from a level 2 building recording and level 3 survey at Lane House Farm, Butterton, Staffordshire undertaken by The Archaeology Co. during August-September 2023. The results of the survey will go towards developing a regional typology of farmhouses, barns and other rural vernacular buildings as an aid to academic study and conservation management.
DOI: 10.5517/ccdc.csd.cc27dyd0
title: CCDC 2068022: Experimental Crystal Structure Determination

description: Related Article: Jian Sun, Hendrik Verplancke, Julia I. Schweizer, Martin Diefenbach, Christian Würtele, Matthias Otte, Igor Tkach, Christian Herwig, Christian Limberg, Serhiy Demeshko, Max C. Holthausen, Sven Schneider|2021|Chem (Cell Press)|7|1952|doi:10.1016/j.chempr.2021.06.006
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: 10.17632/f6znmx9prb
title: LINF_340020400

description: AAA+ ATPase; Leishmania infantum (strain JPCM5)
DOI: 10.17632/vt89b7fgw4
title: Biomass Burning Enhanced the Contribution of Biogenic Sources to Sulfate Aerosol in Subtropical Cities

description: The original data of water-soluble ions, stable sulfur isotope, stable oxygen isotope, organic carbon, and elemental carbon in PM2.5 over Guangzhou were acquired by Off-line sampling and laboratory analysis. Trace gases and meteorological data in Guangzhou were acquired by online equipment.
DOI: 10.17632/46dsysgss3
title: LINF_230017050

description: sucrose hydrolase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/m9gr7dy3rd
title: LINF_220009700

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.7303/syn61804540
title: GITdatabase
DOI: 10.17632/btjjvsz8z9
title: LINF_350048800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.jrehfj
title: Occurrence Download

description: A dataset containing 49968 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis aureus Linnaeus, 1758"
 ]
}

 The dataset includes 49968 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000310-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5z9frg8zth
title: LINF_360036500

description: protein of unknown function - conserved
Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.14906751
title: AMPERE Summary Plot Movies (2019-Oct)

description: 2019-Oct AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.5281/zenodo.14906752
title: AMPERE Summary Plot Movies (2019-Oct)

description: 2019-Oct AMPERE summary plot movies. See included zenodo_summary_plot_movie_description document for details.
DOI: 10.17632/srtb6yxvhc
title: LINF_350056300

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/mjn5nzwyjc
title: LINF_360015900

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.jpfuvh
title: Occurrence Download

description: A dataset containing 49885 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Material sample, Material citation, Living Specimen, Occurrence evidence)",
 "Continent is one of (Europe, Asia, Oceania)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Canis aureus Linnaeus, 1758"
 ]
}

 The dataset includes 49885 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000311-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9hk9k4bj44
title: German Ixodes inopinatus samples may not actually represent this tick species

description: Supplementary data related to the manuscript German Ixodes inopinatus samples may not actually represent this tick species which has been submitted for publication in the International Journal for Parasitology. A current version of the manuscript can be found as a pre-print here: https://doi.org/10.1101/2023.02.14.528458

Data included:
- Input and output files for all median-joining networks run on marker genes
- Nuclear sequences (194 x 1000bp) used in demography, diversity, and phylogenetic analysis
- Input files and outputs for al phylogenetic analyses (mitochondrial and nuclear)
- R-script for running demographic model in Jaatha
DOI: 10.5281/zenodo.14906488
title: The evolution of Question Answering Systems: A comprehensive survey of trends and challenges - Dataset

description: Dataset of "The evolution of Question Answering Systems: A comprehensive survey of trends and challenges".

 

This survey provides a comprehensive review of the evolution of question answering (QA) systems by synthesizing insights from 500 papers published between 2020 and 2025. Spurred by advancements in deep neural networks and transformer-based models, QA research has experienced a transformative leap in natural language understanding (NLU). We employ a narrative review methodology that merges systematic data collection and preprocessing with a two-tiered classification pipeline, integrating rule-based heuristics and large language model–driven analysis, to categorize the literature into key dimensions such as open-domain, conversational, domain-specific, knowledge-base, multi-modal, and evaluation-focused approaches.

Our findings reveal an early surge in QA publications, propelled by pioneering neural architectures, followed by a period of consolidation characterized by incremental innovations and hybrid methods. Despite these gains, significant challenges remain, including data dependence, semantic ambiguity, multi-turn context retention, and model interpretability. Analyzing publication and citation trends across QA subfields underscores the field's progression from initial breakthroughs to the systematic refinement of established techniques.

Finally, the survey examines the implications of these trends for future research, advocating for standardized evaluation metrics, adaptive learning strategies, and ethically informed design practices. By connecting historical perspectives with contemporary advances, this work offers a robust roadmap for next-generation QA systems, poised for impactful applications in education, adaptive learning, information retrieval, and AI-driven personalization.
DOI: 10.5281/zenodo.14906487
title: The evolution of Question Answering Systems: A comprehensive survey of trends and challenges - Dataset

description: Dataset of "The evolution of Question Answering Systems: A comprehensive survey of trends and challenges".

 

This survey provides a comprehensive review of the evolution of question answering (QA) systems by synthesizing insights from 500 papers published between 2020 and 2025. Spurred by advancements in deep neural networks and transformer-based models, QA research has experienced a transformative leap in natural language understanding (NLU). We employ a narrative review methodology that merges systematic data collection and preprocessing with a two-tiered classification pipeline, integrating rule-based heuristics and large language model–driven analysis, to categorize the literature into key dimensions such as open-domain, conversational, domain-specific, knowledge-base, multi-modal, and evaluation-focused approaches.

Our findings reveal an early surge in QA publications, propelled by pioneering neural architectures, followed by a period of consolidation characterized by incremental innovations and hybrid methods. Despite these gains, significant challenges remain, including data dependence, semantic ambiguity, multi-turn context retention, and model interpretability. Analyzing publication and citation trends across QA subfields underscores the field's progression from initial breakthroughs to the systematic refinement of established techniques.

Finally, the survey examines the implications of these trends for future research, advocating for standardized evaluation metrics, adaptive learning strategies, and ethically informed design practices. By connecting historical perspectives with contemporary advances, this work offers a robust roadmap for next-generation QA systems, poised for impactful applications in education, adaptive learning, information retrieval, and AI-driven personalization.
DOI: 10.17632/7dd8g8cmxf
title: LINF_210021300

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.6084/m9.figshare.28458548
title: Data on humanitarian aid to Gaza and military aid to Israel: Justice-Oriented Counter-Stories

description: Dataset on humanitarian aid to Palestine and military aid to Israel, used by the Just Data Research Group at the University of Southampton.We present a narrative where the net aid to Palestine is weakened by the contributions of the same countries to Israel's military capacity.
DOI: 10.7303/syn52257174.1
title: Phosphoproteomics Resource Tables
DOI: 10.17632/sd6p8zhw4t
title: LINF_180022500

description: protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.6hccgz
title: Occurrence Download

description: A dataset containing 193 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna laurentii De Wild."
 ]
}

 The dataset includes 193 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000313-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14906023
title: qm9_conj_OT-w

description: This database comprises a curated collection of 21,085 conjugated molecules, filtered from the original QM9 dataset. For each molecule, calculations were performed using the LC-ωPBE/6-31G* method. To account for the system dependence of the range-separated parameter ω in the LC-ωPBE approach, the IP method was employed to fine-tune ω, ensuring an optimal value for each molecule. Based on these refined parameters, further calculations were performed to determine molecular properties, extracting key data such as the Hamiltonian matrix, overlap matrix, eigenvalues, and eigenvectors.

The dataset is stored in a DB file format, with each entry containing the following information:



i: Index of the molecule

SMILES: SMILES representation of the molecule

omega: Value of the range-separated parameter ω

j2: Equation value constructed when tuning ω using the IP method

coordinates: Three-dimensional coordinates of atoms in the molecule

Z: Atomic numbers of the atoms in the molecule

n_atoms: Number of atoms in the molecule

hamiltonian: Hamiltonian matrix of the molecule

eigenvalues: Eigenvalues of the molecule

overlap: Overlap matrix of the molecular orbitals

eigenvectors: Eigenvectors of the molecule


Usage example :

import sqlite3

conn = sqlite3.connect('qm9_conj_OT-w.db') cursor = conn.cursor()

cursor.execute("SELECT * FROM qm9_data WHERE i = 0")molecule_data = cursor.fetchone()

smiles = molecule_data[1]omega = molecule_data[2] 

conn.close()
DOI: 10.5281/zenodo.14906024
title: qm9_conj_OT-w

description: This database comprises a curated collection of 21,085 conjugated molecules, filtered from the original QM9 dataset. For each molecule, calculations were performed using the LC-ωPBE/6-31G* method. To account for the system dependence of the range-separated parameter ω in the LC-ωPBE approach, the IP method was employed to fine-tune ω, ensuring an optimal value for each molecule. Based on these refined parameters, further calculations were performed to determine molecular properties, extracting key data such as the Hamiltonian matrix, overlap matrix, eigenvalues, and eigenvectors.

The dataset is stored in a DB file format, with each entry containing the following information:



i: Index of the molecule

SMILES: SMILES representation of the molecule

omega: Value of the range-separated parameter ω

j2: Equation value constructed when tuning ω using the IP method

coordinates: Three-dimensional coordinates of atoms in the molecule

Z: Atomic numbers of the atoms in the molecule

n_atoms: Number of atoms in the molecule

hamiltonian: Hamiltonian matrix of the molecule

eigenvalues: Eigenvalues of the molecule

overlap: Overlap matrix of the molecular orbitals

eigenvectors: Eigenvectors of the molecule


Usage example :

import sqlite3

conn = sqlite3.connect('qm9_conj_OT-w.db') cursor = conn.cursor()

cursor.execute("SELECT * FROM qm9_data WHERE i = 0")molecule_data = cursor.fetchone()

smiles = molecule_data[1]omega = molecule_data[2] 

conn.close()
DOI: 10.15468/dl.q5aydc
title: Occurrence Download

description: A dataset containing 1392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna ambacensis Welw. ex Baker"
 ]
}

 The dataset includes 1392 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000317-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ams3jr
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Minor insect orders (Luomus)",
 "Country is Croatia"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000315-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.anumyq
title: Occurrence Download

description: A dataset containing 326 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Trawl-survey data from the Pipeta programme in the Northern Adriatic Sea (Mediterranean) collected in 1988 and 1991",
 "Country is Croatia"
 ]
}

 The dataset includes 326 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000314-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uh66mp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Triplehorn Insect Collection, The Ohio State University",
 "Country is Croatia"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000316-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.