cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ua63tr
title: Occurrence Download

description: A dataset containing 2211 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Paradoxornis guttaticollis David, 1871"
 ]
}

 The dataset includes 2211 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006111-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wvodzu
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Plant Specimen in Yunnan, China from Herbarium (PE),Institute of Botany, Chinese Academy of Sciences",
 "TaxonKey is Cornus capitata Wall."
 ]
}

 The dataset includes 120 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031953-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svcywn
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hesionides arenaria Friedrich, 1937)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 28 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046086-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5keytb
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudomyrmex nigropilosus (Emery, 1890)"
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0159038-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyban2
title: Occurrence Download

description: A dataset containing 8424 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyrtomium fortunei J.Sm.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8424 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006039-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx3vt0
title: Occurrence Download

description: A dataset containing 80680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 {
 "or" : [
 "TaxonKey is Celtis australis L.",
 "TaxonKey is Buxus sempervirens L.",
 "TaxonKey is Aeonium haworthii Salm-Dyck ex Webb & Berthel.",
 "TaxonKey is Ribes petraeum Wulfen",
 "TaxonKey is Ribes alpinum L.",
 "TaxonKey is Ribes uva-crispa L.",
 "TaxonKey is Filipendula ulmaria (L.) Maxim.",
 "TaxonKey is Filipendula vulgaris Moench",
 "TaxonKey is Rubus muricola Sennen",
 "TaxonKey is Rubus genevieri Boreau",
 "TaxonKey is Rubus saxatilis L.",
 "TaxonKey is Rubus idaeus L.",
 "TaxonKey is Malus sylvestris Mill.",
 "TaxonKey is Agrimonia pilosa Ledeb.",
 "TaxonKey is Agrimonia procera Wallr.",
 "TaxonKey is Rosa villosa L.",
 "TaxonKey is Rosa arvensis Huds.",
 "TaxonKey is Sorbus aucuparia L.",
 "TaxonKey is Sorbus maderensis (Lowe) Dode",
 "TaxonKey is Sorbus teodorii Liljef.",
 "TaxonKey is Sorbus hybrida (L.) L.",
 "TaxonKey is Sorbus torminalis (L.) Crantz",
 "TaxonKey is Sorbus aria (L.) Crantz",
 "TaxonKey is Sorbus meinichii (Lindeb.) Hedl.",
 "TaxonKey is Sorbus domestica L.",
 "TaxonKey is Crataegus granatensis Boiss.",
 "TaxonKey is Prunus ramburii Boiss.",
 "TaxonKey is Prunus avium (L.) L.",
 "TaxonKey is Prunus lusitanica subsp. hixa (Brouss. ex Willd.) Franco",
 "TaxonKey is Prunus lusitanica subsp. azorica (Mouill.) Franco",
 "TaxonKey is Prunus padus L.",
 "TaxonKey is Prunus prostrata Labill.",
 "TaxonKey is Prunus insititia L.",
 "TaxonKey is Prunus mahaleb L.",
 "TaxonKey is Amelanchier ovalis Medik.",
 "TaxonKey is Marcetella maderensis (Bornm.) Svent.",
 "TaxonKey is Marcetella moquiniana (Webb & Berthel.) Svent.",
 "TaxonKey is Sibbaldia procumbens L.",
 "TaxonKey is Dendriopoterium menendezii Svent.",
 "TaxonKey is Cotoneaster integerrimus Medik."
 ]
 }
 ]
}

 The dataset includes 80680 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031955-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx23wy
title: Occurrence Download

description: A dataset containing 128447 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galanthus nivalis L."
 ]
}

 The dataset includes 128447 records from 675 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006037-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/4bfdbdc1-7b23-4fc0-82e0-b0956308a341.v3
title: Data and code underlying the publication: Rapid Prototyping of a Twin-Screw Granulator for lab-scale research

description: Twin-screw wet granulation has emerged as a promising solution for continuous manufacturing in the pharmaceutical sector, characterised by its flexibility and ability to produce granules with improved quality and homogeneity. However, challenges related to product formulations and twin-screw geometry affect granule properties, making lab-scale experiments costly. The study underlying this dataset explores the feasibility of using additive manufacturing to develop a functional and transparent twin-screw granulator for lab-scale research. Various printing methods, namely selective laser sintering, fused deposition modelling, and stereolithography, were evaluated for their manufacturing accuracy and surface roughness. An additive manufacturable twin-screw granulator design is proposed based on the Pharma 11 by Thermo Scientific Fisher. The granulator was successfully printed and tested in dry granulation experiments with sesame and canihua, revealing challenges such as gear slip. While the prototype serves as a proof of concept, some optimisation opportunities remain. This dataset contains all CAD files to construct your own twin-screw granulator for lab-scale research. Furthermore, it contains fully working copies of python tools and data (roughness data, measurement data) to plot the figures of the study, verify integrity and make this dataset reusable according to the FAIR principles.
DOI: 10.6084/m9.figshare.30461240
title: Supplemented Release of Cinnamomum burmanni genome

description: Cinnamomum burmanni genome
DOI: 10.6084/m9.figshare.30461240.v1
title: Supplemented Release of Cinnamomum burmanni genome

description: Cinnamomum burmanni genome
DOI: 10.15468/dl.t9tq4a
title: Occurrence Download

description: A dataset containing 762 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phoenicobius"
 ]
}

 The dataset includes 762 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004167-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wa5anu
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Locality is La Boissière-de-Montaigu",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004168-251025141854904/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/13528405
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30464309
title: Data and Plotting Script for the Main Figures

description: The archived folder contains the data and plotting script for each of the figure from the main manuscript. To generate the figures, simply run the python script (m.GRAPH.py) in each of the sub-folders.
DOI: 10.6084/m9.figshare.30464309.v1
title: Data and Plotting Script for the Main Figures

description: The archived folder contains the data and plotting script for each of the figure from the main manuscript. To generate the figures, simply run the python script (m.GRAPH.py) in each of the sub-folders.
DOI: 10.60719/aphrc-2025-024
title: Developing a package of effective regulatory interventions for healthier food environments in Kenya, RECAP

description: The rate of overweight and obesity has increased among children and adolescents in low- and middle-income countries (LMICs) over the past decade. This increase is largely driven by unhealthy diets resulting from unhealthy food environments. Available evidence shows that fiscal policies and regulatory measures to restrict unhealthy food environments yield substantial and cost-effective health gains in LMICs. However, there are significant challenges associated with the adoption and implementation of such policies. We aim to identify concrete context-relevant priority actions that promote a healthy food environment as a strategy to enhance healthy dietary patterns/practices and to facilitate knowledge translation pathways to prevent nutrition-related non-communicable diseases (NR-NCDs) in Kenya. This three-year project has four objectives that will be delivered through four interlinked work packages (WPs): i. to assess gaps, barriers and facilitators to developing and implementing public food policies and government actions (WP1); ii. To assess the frequency and nature of unhealthy food and beverage marketing to children, the power of promotions on television, in stores, and in and around schools (WP2); iii. To estimate the cost of inaction for selected NR-NCD policies (WP3); and iv. To assess the legal and administrative feasibility of adopting and implementing context-specific NR-NCD interventions (WP4). The findings of this project will provide concrete context-relevant priority actions that promote healthy food consumption patterns and practices and facilitate knowledge translation pathways to prevent NR-NCDs in Kenya.
DOI: 10.5281/zenodo.17428139
title: Σύστημα Ασπίς: Σεισμική Αδράνεια Απενεργοποιημένη. Προεντεταμένη Ενεργειακή Παράκαμψη – Παράδειγμα Προληπτικού Αντισεισμικού Σχεδιασμού.
title: SHIELD System: Deactivated Seismic Inertia. Prestressed Energy Bypass – Example of Preventive Anti-Seismic Design.

description: Description:This project contains the full dataset and supporting materials for the SHIELD system research. The SHIELD system is based on dynamic and kinematic coupling between a structure and the ground using pre-stressed tendons anchored at the foundation and the top of the structure. The methodology eliminates relative acceleration and seismic forces, providing enhanced safety through information-driven motion synchronization.

The ZIP archive includes:





Over 2000 folders with simulation results, documenting maximum accelerations, tendon forces, wall stresses, rocking displacements, and energy transfer.




Colab notebooks for data analysis in both Greek and English.




A preprint PDF summarizing the research (Abstract and Introduction).



Access: Files are currently restricted. Users must be granted permission to download the full contents.

Keywords: SHIELD system, seismic response, dynamic similarity, tendon anchoring, non-scaled displacement, earthquake engineering, preprint.

License: CC-BY-NC-ND 4.0

Note: This record provides a DOI for citation and reference in publications. Full access to the files can be granted after publication in a peer-reviewed journal.
description:  

Αλλαγές στον κώδικα προσομοίωσης:  

Αυτό το έργο διανέμεται υπό την άδεια Creative Commons Attribution 4.0 International.Ο χρήστης μπορεί να μοιραστεί και να προσαρμόσει το έργο, με την προϋπόθεση να παρέχει κατάλληλη αναφορά στο δημιουργό Ιωάννη Νικολάου Λυμπέρη.
DOI: 10.5281/zenodo.17462510
title: data for fig. 2 in the EMO paper

description: E, Stot, p0, IPR for FeMoco optimization
DOI: 10.5281/zenodo.17462511
title: data for fig. 2 in the EMO paper

description: E, Stot, p0, IPR for FeMoco optimization
DOI: 10.11583/dtu.27905307
title: Data for stenbider - fangster, korrigerede fangster og biomasseindeks

description: I forbindelse med udarbejdelsen af notat til Ministeriet for Fødevarer, Landbrug og Fiskeri (FVM) er følgende to datasæt blevet anvendt. Før brug henviser vi til notatet der er offentlig tilgængelig. Notat navn: "Rådgivning for stenbiderfiskeriet i 2025 og evaluering af stenbiderfiskeriet i 2024":1. <b>Fangstdatasæt</b>Dette datasæt indeholder oplysninger om stenbiderfangster opgjort årligt i kilogram (kg). Datasættet inkluderer:<b>Rå fangster:</b> Ubehandlede fangster i kg som rapporteret.<b>Korrigerede fangster:</b> Fangster justeret for landingstilstand ved brug af omregningsfaktorer, hvilket giver værdierne omregnet til hel fisk.<b>Korrigerede fangster uden rensede fisk for Kulso:</b> Fangsterne er yderligere justeret for at udelukke rensede fisk for Kulso.Datasættet dækker følgende geografiske områder:Kattegat-BælthavetNordsø-SkagerrakSamlet total for danske farvande<b>Kolonner i datasættet:</b><b>kg:</b> Fangster før korrektion med omregningsfaktorer.<b>kguRenset:</b> Fangster, hvor rensede fisk for Kulso er inkluderet, men endnu ikke korrigeret.Dette datasæt giver et samlet overblik over fangsternes udvikling og er baseret på indrapporteringer fra fiskeriet. <b>Kontaktperson:</b> Ole Henriksen.2. <b>Biomasseindeks</b>Dette datasæt indeholder årlige biomasseindeks for stenbider, baseret på data indsamlet fra videnskabelige togter, herunder IBTS og BITS i kvartal 1. Indekset er beregnet ved brug af delta-GAM modellen, som tager højde for variationer i dybde, tid, sted og redskabseffekter.Indekset omfatter:Et samlet biomasseindeks for danske farvande.Underopdelte biomasseindeks for bestandsenhederne:Nordsø-SkagerrakKattegat-Bælthavet (inkl. Østersøen)<b>Kolonner i datasættet:</b><b>Årligt indekstal:</b> Biomasseindeks for de nævnte områder.<b>CV’er:</b> Variation (koefficienter for variation) for indekstallene.<b>Konfidensintervaller:</b> Øvre og nedre grænse (lower og upper) for biomasseestimaterne.Dette datasæt giver en kvantitativ vurdering af stenbiderens biomasse over tid og bidrager til forståelsen af bestandens tilstand i forskellige områder. <b>Kontaktperson:</b> Casper W. Berg.<br>
DOI: 10.11583/dtu.27905307.v1
title: Data for stenbider - fangster, korrigerede fangster og biomasseindeks

description: I forbindelse med udarbejdelsen af notat til Ministeriet for Fødevarer, Landbrug og Fiskeri (FVM) er følgende to datasæt blevet anvendt. Før brug henviser vi til notatet der er offentlig tilgængelig. Notat navn: "Rådgivning for stenbiderfiskeriet i 2025 og evaluering af stenbiderfiskeriet i 2024":1. <b>Fangstdatasæt</b>Dette datasæt indeholder oplysninger om stenbiderfangster opgjort årligt i kilogram (kg). Datasættet inkluderer:<b>Rå fangster:</b> Ubehandlede fangster i kg som rapporteret.<b>Korrigerede fangster:</b> Fangster justeret for landingstilstand ved brug af omregningsfaktorer, hvilket giver værdierne omregnet til hel fisk.<b>Korrigerede fangster uden rensede fisk for Kulso:</b> Fangsterne er yderligere justeret for at udelukke rensede fisk for Kulso.Datasættet dækker følgende geografiske områder:Kattegat-BælthavetNordsø-SkagerrakSamlet total for danske farvande<b>Kolonner i datasættet:</b><b>kg:</b> Fangster før korrektion med omregningsfaktorer.<b>kguRenset:</b> Fangster, hvor rensede fisk for Kulso er inkluderet, men endnu ikke korrigeret.Dette datasæt giver et samlet overblik over fangsternes udvikling og er baseret på indrapporteringer fra fiskeriet. <b>Kontaktperson:</b> Ole Henriksen.2. <b>Biomasseindeks</b>Dette datasæt indeholder årlige biomasseindeks for stenbider, baseret på data indsamlet fra videnskabelige togter, herunder IBTS og BITS i kvartal 1. Indekset er beregnet ved brug af delta-GAM modellen, som tager højde for variationer i dybde, tid, sted og redskabseffekter.Indekset omfatter:Et samlet biomasseindeks for danske farvande.Underopdelte biomasseindeks for bestandsenhederne:Nordsø-SkagerrakKattegat-Bælthavet (inkl. Østersøen)<b>Kolonner i datasættet:</b><b>Årligt indekstal:</b> Biomasseindeks for de nævnte områder.<b>CV’er:</b> Variation (koefficienter for variation) for indekstallene.<b>Konfidensintervaller:</b> Øvre og nedre grænse (lower og upper) for biomasseestimaterne.Dette datasæt giver en kvantitativ vurdering af stenbiderens biomasse over tid og bidrager til forståelsen af bestandens tilstand i forskellige områder. <b>Kontaktperson:</b> Casper W. Berg.<br>
DOI: 10.18112/openneuro.ds006848.v1.0.0
title: AlphaDirection1: EEG, ECG, PPG in the resting state and working memory for sequentially and simultaneously presented digits
DOI: 10.5281/zenodo.17462551
title: SEM Withered Plant (BSE Series) — Kikoh Matsuura (Art–Science Archive)

description: Parent (series) record for *SEM Withered Plant (BSE)* by Kikoh Matsuura.  This record serves as the hub for all child datasets in the series.

**Files included:**- A series overview (TXT) documenting scope, naming rules, citation style, and file policy- A machine-readable index (CSV) that will be updated to list child datasets (DOIs, imaging parameters, etc.)

Each child dataset contains raw, uncompressed BMP images (≈13 per set, number varies) acquired with a personally owned TECHNEX TinySEM M3-i using the BSE detector under high-vacuum conditions.  Child records provide detailed READMEs with exact parameters (accelerating voltage, working distance, vacuum, pixel size, field of view, frame time, coating).

This parent provides a stable concept DOI for the entire *SEM Withered Plant (BSE)* series.  Child datasets link back via *IsPartOf*, and this parent enumerates them via *HasPart*.  

*This series visualizes the hidden order and chance in withered plants through SEM-BSE, leaving a unique trace at the boundary between art and science.*
DOI: 10.15468/dl.2gragn
title: Occurrence Download

description: A dataset containing 1428 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Panthera onca",
 "Country is Mexico",
 "Year is greater than or equal to 1900",
 "Year is less than or equal to 2025",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1428 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004171-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xuvaqc
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Muntiacus feae"
 ]
}

 The dataset includes 23 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004172-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z68f7e
title: Occurrence Download

description: A dataset containing 337312667 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ellisia nyctelea, Tracheophyta)",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 1e+05",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 337312667 records from 7616 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004104-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1102955.10fu
title: SH1102955.10FU

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/sh1102956.10fu
title: SH1102956.10FU

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/sh1102957.10fu
title: SH1102957.10FU

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.