cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/tb7-tsd-4f5
title: †Lepidocyclina (Nephrolepidina) multilobata Gerth, 1939

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5ar-9gv-989
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f4h-d20-69s
title: †Glomalveolina primaeva (Reichel, 1936)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r8d-7t7-b70
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/546-0vw-kfp
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/zg2-kwt-fms
title: †Paralingulina tenera (Bornemann, 1854)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hpa-g5p-ylv
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w4r-458-vjh
title: Foraminifera d'Orbigny, 1826

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.13127/md/c58a49fc-406a-4d79-8b14-9c4f85c0b44b
title: Oxygen meter dataset (AADI Optode 3830 @ 1 Hz) from INGV/SN-4 seafloor platform during ESONET-MARMARA-DM project in Marmara Sea site (Marmara Sea), part of EMSO network

description: The Optode sensor measures the dissolved oxygen concentration in sea water using a lifetime-based luminescence quenching principle. The dataset includes a measured device temperature channel and the oxygen saturation values [%] computed from concentration and temperature.
DOI: 10.13127/md/52c9d18a-63f5-422b-bcf1-ca6521ea11b1
title: Pressure gauge dataset (Paroscientific 8CB-4000-I @ 1 sample / 15 sec) from INAF/NEMO-SN1 seafloor platform during SMO project in Western Ionian Sea site (East Sicily), part of EMSO network

description: This sensor measures the hydrostatic (water column) pressure exerted on the sensor resulting from the pressure of water above its position and the atmospheric air pressure acting on the sea surface. Whether it is not possible to use a vented reference to equalise the offset due to atmospheric pressure, the true water level is obtained from the APG by measuring and subtracting the atmospheric pressure at the sea surface from the APG measurement.
DOI: 10.15468/dl.g744j3
title: Occurrence Download

description: A dataset containing 197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1955",
 "Year is less than or equal to 1959"
 ]
}

 The dataset includes 197 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014830-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xk6uue
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "GadmGid is one of (IDN.33_1, IDN.33.2_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ulva"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014829-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pznggk
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urochloa eminii",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014834-260108223611665/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/14520154
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.25824/redu/cwf8zo
title: Replication data containing x-ray absorption files for: "Copper nanoparticles exsolution from Sr(Ti, Fe)O3 perovskites: material tuning and probing (electro) catalytic applicability"

description: Replication data containing X-ray absorption files for: "Copper Nanoparticles Exsolution from Sr(Ti, Fe)O3 Perovskites: Material Tuning and Probing (Electro)catalytic Applicability" published in Nanoscale Advances. (2026-01-16) Only the data present in Figure 10 was generated by the data depositor.
DOI: 10.15468/dl.b7sahs
title: Occurrence Download

description: A dataset containing 428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urochloa eminii",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 428 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014833-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cpkvwr
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla fallax, Alchemilla fallax, Alchemilla fissa, Alchemilla fissa, Alchemilla fissa, Alchemilla fissa, Alchemilla incisa, Alchemilla othmarii, Alchemilla sericoneura)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 67 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014831-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86ezxx
title: Occurrence Download

description: A dataset containing 342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1960",
 "Year is less than or equal to 1964"
 ]
}

 The dataset includes 342 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014837-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk4byv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Urochloa subquadripara",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014841-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vhcmt4
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla glaucescens, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida, Alchemilla hybrida)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014839-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gsc3w9
title: Occurrence Download

description: A dataset containing 2773 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symphyotrichum ciliatum"
 ]
}

 The dataset includes 2773 records from 168 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014842-260108223611665/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.31079230
title: Supplementary Material for: Toward a Speech-Based Model of Premanifest Huntington's Disease Progression using Deep Neural Networks

description: INTRODUCTION: Huntington’s disease (HD) is a progressive neurodegenerative disorder characterized by motor, cognitive, and psychiatric decline. The Unified Huntington’s Disease Rating Scale Total Motor Score (UHDRS-TMS) is standard for staging manifest disease, but is relatively insensitive to subtle premanifest changes. Speech abnormalities are emerging as candidate digital biomarkers; however, reliably separating premanifest HD (preHD) from healthy controls remains challenging. Here, we assess the feasibility of a speech-only approach by training and comparing multiple classifiers across diverse feature sets and structured tasks to determine whether speech alone can discriminate preHD from controls. 

METHODS: Speech samples were collected from 94 individuals with HD (38 premanifest, 56 manifest) and 36 controls using a standardized six-task protocol administered via tablet. From these recordings, 188 lexical and prosodic features were automatically extracted. We trained 4 machine learning classifiers: random forest, support vector machine, XGBoost, and deep neural networks (DNN), within 10-fold cross-validation using three feature configurations: (1) all tasks (188 features), (2) the top 30 ANOVA-ranked features, and (3) 22 features from the Caterpillar Passage alone.

RESULTS: Traditional classifiers showed limited accuracy. A DNN using only the Caterpillar task achieved 81% unweighted accuracy for classifying premanifest HD versus controls. Accuracy increased to 83% for prodromal HD and 87% when all HD participants were compared to controls. Adding features from additional tasks did not improve performance.
DISCUSSION: A brief, structured speech task combined with deep learning enabled accurate classification of premanifest HD. These findings support speech analysis as a scalable, objective tool for early disease detection and monitoring.
DOI: 10.6084/m9.figshare.31079230.v1
title: Supplementary Material for: Toward a Speech-Based Model of Premanifest Huntington's Disease Progression using Deep Neural Networks

description: INTRODUCTION: Huntington’s disease (HD) is a progressive neurodegenerative disorder characterized by motor, cognitive, and psychiatric decline. The Unified Huntington’s Disease Rating Scale Total Motor Score (UHDRS-TMS) is standard for staging manifest disease, but is relatively insensitive to subtle premanifest changes. Speech abnormalities are emerging as candidate digital biomarkers; however, reliably separating premanifest HD (preHD) from healthy controls remains challenging. Here, we assess the feasibility of a speech-only approach by training and comparing multiple classifiers across diverse feature sets and structured tasks to determine whether speech alone can discriminate preHD from controls. 

METHODS: Speech samples were collected from 94 individuals with HD (38 premanifest, 56 manifest) and 36 controls using a standardized six-task protocol administered via tablet. From these recordings, 188 lexical and prosodic features were automatically extracted. We trained 4 machine learning classifiers: random forest, support vector machine, XGBoost, and deep neural networks (DNN), within 10-fold cross-validation using three feature configurations: (1) all tasks (188 features), (2) the top 30 ANOVA-ranked features, and (3) 22 features from the Caterpillar Passage alone.

RESULTS: Traditional classifiers showed limited accuracy. A DNN using only the Caterpillar task achieved 81% unweighted accuracy for classifying premanifest HD versus controls. Accuracy increased to 83% for prodromal HD and 87% when all HD participants were compared to controls. Adding features from additional tasks did not improve performance.
DISCUSSION: A brief, structured speech task combined with deep learning enabled accurate classification of premanifest HD. These findings support speech analysis as a scalable, objective tool for early disease detection and monitoring.
DOI: 10.5281/zenodo.18270959
title: Cypella rivularis Chauveau & L.Eggers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18270958
title: Cypella rivularis Chauveau & L.Eggers. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.15468/a3e4xp
title: On some western Palaearctic species of the genus Omalium Gravenhorst, 1802 (Coleoptera: Omaliinae: Omaliini)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Shavrin, Alexey V. (2025): On some western Palaearctic species of the genus Omalium Gravenhorst, 1802 (Coleoptera: Omaliinae: Omaliini). Zootaxa 5729 (1): 188-200, DOI: 10.11646/zootaxa.5729.1.9, URL: https://doi.org/10.11646/zootaxa.5729.1.9AbstractTaxonomic and faunistic notes for 13 species of the genus Omalium Gravenhorst, 1802 of the western Palaearctic region are provided. Two species are redescribed and illustrated: North European O. muensteri Bernhauer, 1901 and Iberian O. asturicum Fauvel, 1900. Two new synonymies are proposed: O. allardi Fairmaire & Brisout de Barneville, 1859 = O. vaulogeri Fauvel, 1905 syn. nov., and O. funebre Fauvel, 1871 = O. deubeli Bernhauer, 1915 syn. nov. Lectotypes for O. muensteri and O. deubeli are designated. The habitus of the types of O. vaulogeri and O. deubeli, and, in addition, the aedeagus of the holotype of O. vaulogeri are illustrated. The aedeagus of O. muensteri is illustrated for the first time. First records are provided for the following eight species: O. asturicum from Badajos, Málaga and Granada (Spain), O. funebre from Moldavia, O. italicum Bernhauer, 1902 from Algeria, O. rugatum Mulsant & Rey, 1880 from Crimea (Ukraine), and Bolu and Ordu (Turkey), O. wunderlei Zanetti, 2002 from Izmir, Bolu, Niğde and Van (Turkey), O. cinnamomeum Kraatz, 1857 from Bulgaria, Hatay (Turkey), Lebanon and Syria, O. falsum Eppelsheim, 1889 from Tehran (Iran), and O. rivulare (Paykull, 1789) from Ordu, Yozgat, Tokat and Van (Turkey).
DOI: 10.15468/dl.tkf3v9
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1965",
 "Year is less than or equal to 1969"
 ]
}

 The dataset includes 512 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014843-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9rfuth
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alchemilla monticola)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 128 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014844-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g2u9u
title: Occurrence Download

description: A dataset containing 360 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Vochysia divergens",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 360 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014845-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.auxjs7
title: Occurrence Download

description: A dataset containing 135197 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Datura stramonium L.",
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true"
 ]
}

 The dataset includes 135197 records from 833 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014805-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18270947
title: Día de la Ascensión 2024 - Santa Mariña de Augas Santas II

description: This dataset contains a curated collection of photographs taken during the Día de la Ascensión (2024) in Santa Mariña de Augas Santas (Galicia). The images document public rituals, devotional practices, processions, and spatial contexts associated with the celebration, with particular attention to material culture and the relationship between ritual, landscape, and local memory. The photographs were produced as part of ethnographic and visual documentation of contemporary religious practice. Individuals appear in public settings, and the dataset is intended for scholarly, educational, and non-commercial use.
DOI: 10.5281/zenodo.18270946
title: Día de la Ascensión 2024 - Santa Mariña de Augas Santas II

description: This dataset contains a curated collection of photographs taken during the Día de la Ascensión (2024) in Santa Mariña de Augas Santas (Galicia). The images document public rituals, devotional practices, processions, and spatial contexts associated with the celebration, with particular attention to material culture and the relationship between ritual, landscape, and local memory. The photographs were produced as part of ethnographic and visual documentation of contemporary religious practice. Individuals appear in public settings, and the dataset is intended for scholarly, educational, and non-commercial use.
DOI: 10.82414/5a42ca48-64b3-4177-a1ac-6fd6326f069a
title: Factors underlying public attitudes towards loneliness among elderly people with chronic illnesses

description: This study examined possible influences on stigmatising attitudes towards lonely elderly individuals with chronic illnesses held by some members of the general public who themselves did not have a chronic illness. Ableism, ageism, individualism, empathetic disposition, religiosity, familiarity with chronic illnesses, and demographics were posited to affect stigmatising attitudes. Findings indicated that, other than religiosity, all the suggested variables exerted a significant effect on at least one of three separate attitudinal constructs, i.e., a participant’s attitudes towards loneliness, chronic illnesses, and elderly people. Each of these variables in turn significantly influenced the average sample member’s overall attitudes towards lonely elderly individuals with chronic illnesses.
description: Dataset
description: Surveys/Questionnaires
description: No changes to data
DOI: 10.15468/dl.2as3fg
title: Occurrence Download

description: A dataset containing 1374 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Gentianopsis thermalis",
 "Year 1996-2026"
 ]
}

 The dataset includes 1374 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014847-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udqq2e
title: Occurrence Download

description: A dataset containing 1138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tinca tinca",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1970",
 "Year is less than or equal to 1974"
 ]
}

 The dataset includes 1138 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014848-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18270975
title: Cyperaceae Juss. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:45
DOI: 10.5281/zenodo.18270943
title: Metadata For Apatite Fission Track (AFT), Zircon (U-Th)/He (ZHe), Zircon Fission Track (ZFT), and Vitrinite Reflectance (%Ro) Analyses Conducted in the Central Appalachian Foreland Basin and Fold-Thrust Belt

description: Supplemental apatite fission track (AFT) zircon (U-Th)/He (ZHe), and zircon fission track (ZFT) data from the central Appalachians from our study titled: Thermal and structural reconstruction of an eroded foreland basin: central Appalachian Basin, USA. This metadata provides all relevant thermal data as well as LA-ICPMS, isotopic, and statistical data for each of our analyzed samples. We present modern thermal data from Paleozoic sandstones from the central Appalachian foreland basin and fold-thrust belt used to build a comprehensive time-temperature history of this region modeled using HeFTy. The dataset provides comprehensive data for each sample as well as detailed information on each analyzed grain within samples. Tables within each thermal section also provide relevant sample summary information and exact input data to replicate data plots and models detailed in our study.
DOI: 10.5281/zenodo.15769803
title: Metadata For Apatite Fission Track (AFT), Zircon (U-Th)/He (ZHe), Zircon Fission Track (ZFT), and Vitrinite Reflectance (%Ro) Analyses Conducted in the Central Appalachian Foreland Basin and Fold-Thrust Belt

description: Supplemental apatite fission track (AFT) zircon (U-Th)/He (ZHe), and zircon fission track (ZFT) data from the central Appalachians from our study titled: Thermal and structural reconstruction of an eroded foreland basin: central Appalachian Basin, USA. This metadata provides all relevant thermal data as well as LA-ICPMS, isotopic, and statistical data for each of our analyzed samples. We present modern thermal data from Paleozoic sandstones from the central Appalachian foreland basin and fold-thrust belt used to build a comprehensive time-temperature history of this region modeled using HeFTy. The dataset provides comprehensive data for each sample as well as detailed information on each analyzed grain within samples. Tables within each thermal section also provide relevant sample summary information and exact input data to replicate data plots and models detailed in our study.