cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0070866.10fu
title: SH0070866.10FU

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: 10.17632/9667yttmpk.1
title: Metabolic State and Sleep Quality in Elderly

description: As getting old, different medical conditions, metabolic deregulation or psychosocial determinants, may produce sleeping disturbances. Common sleep deregulations are loss of regular distribution between sleep stages, prolonged sleep latency, awaken early, and have more nighttime arousals. All these are evident in the half population at 65 years old, besides around 30% of them have chronic insomnia. The consequences can vary from increased daytime fatigue and napping to more propensity to mental or cognitive deterioration with less motivation to read. The objective determination of sleep quality through polysomnography is the precise mechanism of measurement, although self-report scales, such as the Pittsburgh Sleep Quality Index (PSQI), are common and affordable strategies widely used. The dataset describes the anthropometric, metabolic, physical activity, PSQI, and reading habit from 48 middle- to late-adulthood participants. These are valuable for examining the metabolic factors and exercise habits that influence sleep quality, cognitive status, and overall health.
DOI: 10.13145/bacdive2627.20241212.9.2
title: Clostridium pasteurianum Winogradsky 1895

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070867.10fu
title: SH0070867.10FU

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: 10.13145/bacdive2627.20251217.10
title: Clostridium pasteurianum Winogradsky 1895

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive2628.20241212.9.2
title: Clostridium pasteurianum Winogradsky 1895

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.17632/rjz72vnwgy.2
title: Dataset Sustainable Open Access in Latin America: An Analysis of Business Models, Challenges, and Strategic Pathways

description: Open access scientific journals in Latin America sustain themselves financially when backed by stable institutional and government support. Studies report that diamond models—eschewing Article Processing Charges in favor of public or internal funding—tend to secure reliable funding and achieve inclusion in international indexes such as Web of Science, Scopus, SciELO, RedALyC, and Latindex. Several analysts note that journals employing hybrid models, which combine APCs with institutional subsidies, face challenges that may increase financial pressure on researchers. In contrast, the use of open-source infrastructures, collaborative networks, and quality control measures further strengthens both economic viability and global visibility.

Diamond models utilizing institutional funding, combined with open-source infrastructure and quality control measures, enable Latin American open access journals to maintain financial stability and achieve international recognition.
DOI: 10.13145/bacdive2628.20251217.10
title: Clostridium pasteurianum Winogradsky 1895

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.15156/bio/sh0070868.10fu
title: SH0070868.10FU

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: 10.17028/rd.lboro.28512743
title: Supplementary information files for "Justifying an invasion: When Is disinformation successful?"

description: Supplementary files for article "Justifying an invasion: When Is disinformation successful?"Conventional wisdom suggests that social media, especially when used by authoritarian powers with nefarious aims, leaves citizens of democratic countries vulnerable to psychological influence campaigns. But such concerns overlook predispositions among recipients of false claims to reject (or to endorse) conspiratorial narratives. Analyzing responses from a survey fielded in 19 countries, we find that it is a preexisting conspiracy outlook at the individual level, more so than media diets, which consistently predicts rating Russia’s pretenses for the invasion as more accurate. In all countries, individuals who view the world in general with a conspiratorial mindset are more likely to believe war-related disinformation. Receiving news via YouTube, Facebook, or TikTok is also associated with greater belief in Russian narratives justifying the invasion in several countries, but these relationships are weaker compared to those observed for conspiracy thinking. Without downplaying a potential positive role for media interventions, the findings highlight the importance of a deeper understanding of the underlying causes of conspiratorial thinking.<br><br>©The Authors, CC BY 4.0
DOI: 10.17028/rd.lboro.28512743.v1
title: Supplementary information files for "Justifying an invasion: When Is disinformation successful?"

description: Supplementary files for article "Justifying an invasion: When Is disinformation successful?"Conventional wisdom suggests that social media, especially when used by authoritarian powers with nefarious aims, leaves citizens of democratic countries vulnerable to psychological influence campaigns. But such concerns overlook predispositions among recipients of false claims to reject (or to endorse) conspiratorial narratives. Analyzing responses from a survey fielded in 19 countries, we find that it is a preexisting conspiracy outlook at the individual level, more so than media diets, which consistently predicts rating Russia’s pretenses for the invasion as more accurate. In all countries, individuals who view the world in general with a conspiratorial mindset are more likely to believe war-related disinformation. Receiving news via YouTube, Facebook, or TikTok is also associated with greater belief in Russian narratives justifying the invasion in several countries, but these relationships are weaker compared to those observed for conspiracy thinking. Without downplaying a potential positive role for media interventions, the findings highlight the importance of a deeper understanding of the underlying causes of conspiratorial thinking.<br><br>©The Authors, CC BY 4.0
DOI: 10.15468/dl.rgrrzg
title: Occurrence Download

description: A dataset containing 344 species occurrences available in GBIF matching the query:
{
 "Locality" : [
 "is one of (CHOLET. (Maine et Loire), Cholet, Cholet (Maine-et-Loire), Cholet, Maine-Et-Loire, Cholet (Centre-Ville), Cholet (M. et L), Cholet (départ Maine & Loire - France).)"
 ]
}

 The dataset includes 344 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000606-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brmep2
title: Occurrence Download

description: A dataset containing 5677486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations, Observation.org, Nature data from around the World, Coordinated Waterbird Counts, Birda - Global Observation Dataset, Xeno-canto - Bird sounds from around the world, NABU|naturgucker, BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe, Earth Guardians Weekly Feed)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2015-2024"
 ]
}

 The dataset includes 5677486 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000582-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qzujq7
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kyllinga nemoralis (J.R.Forst. & G.Forst.) Dandy ex Hutch. & Dalziel)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000607-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sy9fqd
title: Occurrence Download

description: A dataset containing 669 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Bunodactis reynaudi (Milne Edwards, 1857))",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 669 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000594-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pt759
title: Occurrence Download

description: A dataset containing 21 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Blumea obliqua (L.) Druce)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 21 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000595-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4r8kj8
title: Occurrence Download

description: A dataset listing the 3 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is 17e8fde5-9144-49c8-a893-87138e95b0b7",
 "TaxonKey is Laudakia nupta (De Filippi, 1843)"
 ]
}

 The dataset's 3 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000590-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14944829
title: VAMDC extraction with identifier = 7c2787c0-ea0f-4c85-9c83-bb87147b7a4f

description: This is a dataset extracted from http://basecoltap2015.vamdc.org/12_07/ VAMDC node.
Query originating this dataset: query=select * where ( inchikey = 'ldifhdjqddmhhq-uhfffaoysa-n' ); 
 Data source version: 2025-02-27
Data format: XSAMS 12.07
Query uuid in VAMDC query store: 7c2787c0-ea0f-4c85-9c83-bb87147b7a4f
DOI: 10.5281/zenodo.14944830
title: VAMDC extraction with identifier = 7c2787c0-ea0f-4c85-9c83-bb87147b7a4f

description: This is a dataset extracted from http://basecoltap2015.vamdc.org/12_07/ VAMDC node.
Query originating this dataset: query=select * where ( inchikey = 'ldifhdjqddmhhq-uhfffaoysa-n' ); 
 Data source version: 2025-02-27
Data format: XSAMS 12.07
Query uuid in VAMDC query store: 7c2787c0-ea0f-4c85-9c83-bb87147b7a4f
DOI: 10.15468/dl.scrw5y
title: Occurrence Download

description: A dataset containing 12542 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus cicer L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12542 records from 138 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000596-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3cxtv4
title: Occurrence Download

description: A dataset containing 2634 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Crotalaria pallida Aiton)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2634 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000597-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83b2ny
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypselobarbus micropogon (Valenciennes, 1842)"
 ]
}

 The dataset includes 28 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000608-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nbc9g
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Ambrosia peruviana All."
 ]
}

 The dataset includes 50 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000609-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ymsfn
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vulpes ferrilata Hodgson, 1842",
 "Year 1000-2025"
 ]
}

 The dataset includes 103 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000610-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.du9tj8
title: Occurrence Download

description: A dataset containing 45973 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterostichus melanarius (Illiger, 1798)"
 ]
}

 The dataset includes 45973 records from 428 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000611-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14944843
title: VAMDC extraction with identifier = a81217b2-e30e-4994-baba-faf2fe657a7c

description: This is a dataset extracted from https://cdms.astro.uni-koeln.de/cdms/tap/ VAMDC node.
Query originating this dataset: query=select * where ( inchikey = 'ldifhdjqddmhhq-uhfffaoysa-n' ); 
 Data source version: 2019-11-27
Data format: XSAMS 12.07
Query uuid in VAMDC query store: a81217b2-e30e-4994-baba-faf2fe657a7c
DOI: 10.5281/zenodo.14944844
title: VAMDC extraction with identifier = a81217b2-e30e-4994-baba-faf2fe657a7c

description: This is a dataset extracted from https://cdms.astro.uni-koeln.de/cdms/tap/ VAMDC node.
Query originating this dataset: query=select * where ( inchikey = 'ldifhdjqddmhhq-uhfffaoysa-n' ); 
 Data source version: 2019-11-27
Data format: XSAMS 12.07
Query uuid in VAMDC query store: a81217b2-e30e-4994-baba-faf2fe657a7c
DOI: 10.34740/kaggle/dsv/10880066
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.5519/qd.aom3tzgv
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (138 records)
DOI: 10.15468/dl.m467un
title: Occurrence Download

description: A dataset containing 4068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ruta chalepensis L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4068 records from 68 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000612-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.58apq9
title: Occurrence Download

description: A dataset containing 2518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turnera subulata J.E.Sm.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2518 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000598-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18150/iizyue
title: Research on the modified Extended Luenberger Observer for current sensor fault-tolerant control of the induction motor drive

description: These research results concern the concept of applying the Extended Luenberger Observer (ELO) with additional estimation of rotor resistance for the implementation of the current sensor (CS) fault-tolerant control of induction motor drive. Additionally, a modification of the ELO has been implemented to enhance the quality of the stator current estimation, even in the case of a faulty CS. The study investigates the quality of stator current estimation in the absence of faults or in the case of a fault occurring in one of the two CSS. The simulation results confirm the high effectiveness of the proposed solution on a wide range of speed variations.The data used in this research are attached and contain the transient signals obtained from simulations described as follows:Description of the file notation:mea - measured valuesreal - ideal values (without measurement noise)emlo - values estimated by the EMLO estimatorc - values used in the control structure and observer, calculated based on measured and estimated valuesref - reference valuesIM - values in the induction motor modelH - both sensors intactA/B - damaged sensor in a given phaseM - motoring operation modeR - regenerating operation modem100 - load torque value [%]w100 - speed reference value [%]k180 - wsp k0 = 1.8
DOI: 10.15468/dl.grm3rt
title: Occurrence Download

description: A dataset containing 386843 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus halepensis Mill."
 ]
}

 The dataset includes 386843 records from 549 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000597-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4x9678
title: Occurrence Download

description: A dataset containing 213 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fossil"
 ]
}

 The dataset includes 213 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000613-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/ds/6760212
title: Sphero Dead Reckoning and CV Tracking Dataset