cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1284651.10fu
title: SH1284651.10FU

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/sh1284652.10fu
title: SH1284652.10FU

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.9f93vh
title: Occurrence Download

description: A dataset containing 2242022602 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Stonogobiops larsonae, Drombus dentifer, Gobius waitii, Gobius scabriceps, Gobius gibbosus, Taenioides hermannii, Ctenogobius auriga, Chordata, Sicydium bustamantei, Sicydium brevifile, Sicydium plumieri, Sicydium altum, Sicydium crenilabrum, Sicydium fayae, Sicydium salvini, Sicydium gilberti, Sicydium multipunctatum, Sicydium hildebrandi, Sicydium buscki, Sicydium cocoensis, Sicydium gymnogaster, Sicydium adelum, Sicydium punctatum, Sicydium montanum, Sicydium rosenbergii, Awaous lateristriga, Awaous banana, Awaous pallidus, Awaous macrorhynchus, Awaous commersoni, Awaous tajasica, Awaous personatus, Awaous litturatus, Awaous ocellaris, Awaous grammepomus, Awaous aeneofuscus, Awaous flavus, Awaous acritosus, Awaous fluviatilis, Awaous guamensis, Awaous stamineus, Awaous melanocephalus, Gobiodon heterospilos, Gobiodon acicularis, Gobiodon albofasciatus, Gobiodon atrangulatus, Gobiodon oculolineatus, Gobiodon okinawae, Gobiodon citrinus, Gobiodon fulvus, Gobiodon axillaris, Gobiodon rivulatus, Gobiodon ceramensis, Gobiodon erythrospilus, Gobiodon brochus, Gobiodon quinquestrigatus, Gobiodon unicolor, Gobiodon micropus, Gobiodon prolixus, Gobiodon reticulatus, Gobiodon histrio, Gobiodon multilineatus, Gobiodon spilophthalmus, Gobiosoma longipala, Gobiosoma robustum, Gobiosoma hildebrandi, Gobiosoma spilotum, Gobiosoma hemigymnum, Gobiosoma spes, Gobiosoma bosc, Gobiosoma ginsburgi, Gobiosoma grosvenori, Gobiosoma schultzi, Gobiosoma paradoxum, Gobiosoma chiquita, Gobiosoma homochroma, Gobiosoma yucatanum, Gobiosoma nudum, Oligolepis keiensis, Oligolepis stomias, Oligolepis jaarmani, Oligolepis acutipennis, Oligolepis cylindriceps, Sicyopus multisquamatus, Sicyopus auxilimentus, Sicyopus cebuensis, Sicyopus nigriradiatus, Sicyopus discordipinnis, Sicyopus exallisquamulus, Myersina adonis, Myersina yangii, Myersina nigrivirgata, Myersina lachneri, Myersina macrostoma, Myersina filifer, Myersina papuanus, Myersina crocata, Myersina pretoriusi, Parrella maxillaris, Parrella ginsburgi)",
 "HasCoordinate is true",
 "LastInterpreted is greater than or equal to 2023-01-01",
 "LastInterpreted is less than or equal to 2026-01-01"
 ]
}

 The dataset includes 2242022602 records from 28034 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004084-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17337132
title: COVID-19-Hospitalisierungen in Deutschland

description: Im Datensatz "COVID-19-Hospitalisierungen in Deutschland" des Robert Koch-Institutswerden täglich aktualisierte Informationen zu Hospitalisierungen im Zusammenhang mit COVID-19 basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Neben tagesaktuellen Fallzahlen und Inzidenzen auf Bundes- und Länderebene enthält der Datensatz auch modellgestützte Schätzungen verzögert gemeldeter Hospitalisierungen mittels Nowcasting. Ziel ist es, die tatsächliche Belastung des Gesundheitssystems durch COVID-19 besser abzubilden, insbesondere durch die Berechnung adjustierter 7-Tage-Hospitalisierungsinzidenzen.
DOI: 10.15468/dl.69tke7
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bromus madritensis",
 "Country is Chile",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011074-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxp38e
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACH9290"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011071-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wqkf4g
title: Occurrence Download

description: A dataset containing 574 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Observation, Human Observation, Occurrence evidence)",
 "Country is one of (Russian Federation, Mongolia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gallinago megala",
 "Year 2015-2024"
 ]
}

 The dataset includes 574 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011075-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/cna-kbb-4yt
title: Bunium paucifolium DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/py4-2th-34m
title: Siparuna Aubl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/wav-5jj-08p
title: Conium maculatum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/90n-yys-dw6
title: Ranunculus lanuginosus L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dcd-yz8-f87
title: Utricularia × australis R. Br.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/3ka-jfj-lmp
title: Geum urbanum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/7cb-mcn-cjw
title: Torilis leptophylla (L.) Rchb. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.60831/1144
title: Mission und Gender

description: Daten aus dem Forschungsprogramm "Religion & Emotion" an der Herzog August Bibliothek sowie aus der Datenbank "Expansive Frömmigkeit" (https://dbs.hab.de/mission).
DOI: 10.3535/6v3-71d-9mq
title: Setaria viridis (L.) P.Beauv.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y0e-97j-m05
title: Salvia verticillata L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/05t-9c7-fkt
title: Rubus canescens DC.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/n06-xd3-vbd
title: Ouratea superba Engl.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/s2m-fex-m3q
title: Cardamine leucantha (Tausch) O. E. Schulz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/jgr-lx5-336
title: Chenopodium opulifolium Schrad. ex W. D. J. Koch & Ziz

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l99-4ev-b43
title: Lathyrus sphaericus Retz.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1ea-6rz-6sv
title: Uncaria rhynchophylla (Miq.) Miq.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/4nj-t1k-cr3
title: Scandix pecten-veneris L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ewp-a4v-k3v
title: Corydalis intermedia (L.) Mérat

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/xmz-7af-myp
title: Ammoides pusilla (Brot.) Breistr.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/6ga-hwa-270
title: Plantago coronopus var. cupanii (Guss.) Decne.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/dk5-gsw-qa4
title: Ischnosiphon macarenae L.Andersson

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ftl-6l5-h4r
title: Tolpis virgata subsp. grandiflora (Ten.) Arcang.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.fgnd9h
title: Occurrence Download

description: A dataset listing the 1897 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Germany",
 "GadmGid is DEU.10.13_1",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (33aecde5-7e13-4272-9cb7-f4f3b0eb820c, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 43cab2b0-0653-11d9-acb2-b8a03c50a862, da86174a-a605-43a4-a5e8-53d484152cd3, bb646dff-a905-4403-a49b-6d378c2cf0d9, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 2754e9c0-0e43-4f65-968a-6f16b9c378ce, ef69a030-3940-11dd-b168-b8a03c50a862, 57254bd0-8256-11d8-b7ed-b8a03c50a862)",
 "TaxonKey is Tracheophyta",
 "Year 1980-2025"
 ]
}

 The dataset's 1897 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061674-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/e3z-8an-78z
title: Scandix brachycarpa Guss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/j92-9tv-ckp
title: Burmeistera H.Karst. & Triana

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/sdh-ssl-dzl
title: Potamogeton natans L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/hdg-s33-wwc
title: Festuca drymeja Mert. & W.D.J.Koch

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/37f-jwd-zwe
title: Fumaria vaillantii Loisel.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/46s-c6y-kks
title: Holcus mollis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/2cm-p0r-j60
title: Acer pictum Thunb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/t9j-4pn-acg
title: Euphorbia epithymoides L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/1ja-zda-ssp
title: Acantholimon acerosum (Willd.) Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ab3-hk3-504
title: Ajuga chamaepitys (L.) Schreb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/nsyjyhsc2s.1
title: Safety and efficacy of barzolvolimab in adults with prurigo nodularis: A Phase 1b Study

description: Supplemental materials for brief report:Safety and efficacy of barzolvolimab, an anti-KIT monoclonal antibody, in adults with moderate-to-severe prurigo nodularis: A randomized phase 1b intravenous single-dose study
DOI: 10.3535/16w-qtn-wl8
title: Reichardia picroides (L.) Roth

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/pr2-z0m-tzn
title: Nectandra laurel Klotzsch ex Nees

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.15468/dl.9bnvpp
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Picus viridis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061688-250717081556266/datasets/export for details.
DOI: 10.3535/7ap-86f-nww
title: Asplenium adiantum-nigrum L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mee-mc4-1dk
title: Galium verticillatum Danthoine ex Lam.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/m4zjkxss8f
title: Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factors

description: In human blood, it has been demonstrated that methylomic information can be used to predict smoking status, alcohol intake, and chronological age. While it is possible to robustly predict chronological age using DNA methylation information derived from buccal tissue, it remains to be determined if other variables can be directly predicted in cheek swabs. Here, we demonstrate that classifiers for smoking status and race/ethnicity can be built in a buccal methylomic dataset derived from 8,045 adults spanning an age range of 18 – 93 years. Furthermore, we build novel regressors for body mass index, alcohol intake, and chronological age. For each of these models, we identify the 1,000 most important CpGs and perform enrichment analyses on them to expose associated biological pathways and transcription factor targets. We additionally explore how the architecture of an epigenetic aging clock – specifically how many hidden layers are present – influences model accuracy. Finally, we build a proof-of-concept, explainable deep learning models that connect DNA methylation sites annotated to genes to Reactome pathways or to transcription factors. These pathways and target sets are then used to estimate age, a feature that provides interpretability. All together, these findings further emphasize the usability of buccal data for epigenetic predictions.
DOI: 10.3535/vwa-dvq-f5d
title: Torilis leptophylla (L.) Rchb. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/kvv-ta2-n7f
title: Gentiana olivieri Griseb.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/mlk-994-r4h
title: Campanula rapunculoides subsp. cordifolia (K.Koch) Damboldt

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/m4zjkxss8f.2
title: Using buccal methylomic data to create explainable aging clocks as well as classifiers and regressors for lifestyle and demographic factors

description: In human blood, it has been demonstrated that methylomic information can be used to predict smoking status, alcohol intake, and chronological age. While it is possible to robustly predict chronological age using DNA methylation information derived from buccal tissue, it remains to be determined if other variables can be directly predicted in cheek swabs. Here, we demonstrate that classifiers for smoking status and race/ethnicity can be built in a buccal methylomic dataset derived from 8,045 adults spanning an age range of 18 – 93 years. Furthermore, we build novel regressors for body mass index, alcohol intake, and chronological age. For each of these models, we identify the 1,000 most important CpGs and perform enrichment analyses on them to expose associated biological pathways and transcription factor targets. We additionally explore how the architecture of an epigenetic aging clock – specifically how many hidden layers are present – influences model accuracy. Finally, we build a proof-of-concept, explainable deep learning models that connect DNA methylation sites annotated to genes to Reactome pathways or to transcription factors. These pathways and target sets are then used to estimate age, a feature that provides interpretability. All together, these findings further emphasize the usability of buccal data for epigenetic predictions.
DOI: 10.3535/8at-x15-j92
title: Carex michelii Host

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/nzj-cgb-wd4
title: Cestrum tomentosum L. fil.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/ab2-y1z-c82
title: Atocion compactum (Fisch. ex Hornem.) Tzvelev

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/y6k-fa1-r7x
title: Fagonia glutinosa Delile

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/vj1-cnv-dk1
title: Sapium stylare Müll.Arg.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/5gw-jft-1rk
title: Alyssoides utriculata (L.) Medik.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/qm8-jdg-8s6
title: Carex melanostachya M.Bieb. ex Willd.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/0a3-d3g-vtg
title: Linum mucronatum Bertol.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/bnd-53w-rvv
title: Crepis pulchra L.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.17632/t8n2jrsbmz
title: The prevalence of idiopathic osteosclerosis in patients attending the Dr. René Puig Bentz dental clinic at the Universidad Nacional Pedro Henríquez Ureña.

description: Idiopathic osteosclerosis (IO) is a benign anatomical anomaly characterized by areas of
compact bone without inflammatory or neoplastic cause, identified as an asymptomatic
radiographic finding. It can cause diagnostic confusion by mimicking other bone pathologies.
This study aimed to determine the prevalence of IO in patients attended at the Dr. René Puig
Bentz dental clinic of the Universidad Nacional Pedro Henríquez Ureña (UNPHU) between
January 2022 and December 2023, with the purpose of providing local epidemiological data
and strengthening differential diagnosis in clinical practice.
The hypothesis proposed that there is a significant prevalence of IO detectable on panoramic
radiographs, with possible variation according to sex, age, and anatomical location. For this
purpose, a descriptive, observational, and cross-sectional study was designed. A total of
4,471 digital panoramic radiographs from patients aged 20 to 60 years were reviewed,
applying specific inclusion and exclusion criteria to ensure image quality and data validity.
Data collection was performed using a structured form created in Google Forms, where
variables such as sex, age, presence of IO, anatomical location, shape, and radiographic
characteristics were recorded. The images were analyzed with Romexis® software, which
allowed detailed visualization and standardized measurement tools. Additionally,
interobserver calibration was performed using Cohen's Kappa index to guarantee diagnostic
reliability.
The results revealed an overall prevalence of IO of 12.4%, with predominance in women and
in the 20 to 30-year age group. The most frequent location was the mandible, especially in the
premolar and molar regions. Most lesions presented irregular shape and well-defined borders.
Furthermore, a significant association was observed with a history of dental extractions and
edentulous areas.
This study confirms that idiopathic osteosclerosis is a relatively frequent radiographic finding
in the evaluated population and highlights its benign nature as an anatomical variant. It
underscores the importance of recognizing its imaging characteristics to avoid misdiagnosis
and unnecessary treatments. The research provides valuable epidemiological data for the
Dominican population, strengthening local knowledge and offering a basis for future
investigations and clinical applications in dental diagnosis.
DOI: 10.3535/5l0-841-x07
title: Haplophyllum myrtifolium Boiss.

description: Digital Specimen for the physical specimen hosted at University of Graz.
DOI: 10.3535/l2q-bgl-72w
title: Convolvulus arvensis L.

description: Digital Specimen for the physical specimen hosted at University of Graz.