cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48597/53f6-bhd5
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/4m7y-y6hm
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/9qs8-q3es
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/bvcx-3xvf
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/kdxu-q7nr
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/kxyr-cxxa
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/mp4c-zmpx
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/mxvb-qw8h
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/xmjz-mbdw
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/hpcf-53sy
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/pzwd-yj32
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/s85c-de3y
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/skq3-hwnw
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.48597/y6by-ewgw
title: Measurement of Pm10_mass at Aliartos

description: Measurement of Pm10_mass at Aliartos
DOI: 10.15468/dl.mwngxn
title: Occurrence Download

description: A dataset containing 10018 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer montanus (Linnaeus, 1758)",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 10018 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007711-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15309616
title: Would they eat it if they knew? The impact of ingredient disclosure on sensory perception of cricket-flour-enriched bread

description: The archive that contains all the necessary data to perform analyses supporting the paper: Would they eat it if they knew? The impact of ingredient disclosure on sensory perception of cricket-flour-enriched bread
DOI: 10.15468/dl.rnjhtt
title: Occurrence Download

description: A dataset containing 9119 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 9119 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007713-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g87dg8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Solenopsis invicta Buren, 1972"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007715-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8aqgpq
title: Occurrence Download

description: A dataset containing 1616 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((2.63333 42.69248,15.33148 42.69248,15.33148 47.77620,2.63333 47.77620,2.63333 42.69248))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (May, June)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fritillaria meleagris L.",
 "Year 2000-2025"
 ]
}

 The dataset includes 1616 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007716-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.647fus
title: Occurrence Download

description: A dataset containing 3732 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is South Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Erica cerinthoides L."
 ]
}

 The dataset includes 3732 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007717-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48597/j9ud-st26
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/4v2y-e4jh
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/d968-ah7n
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/f53s-jzn2
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/37fh-j8bt
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/4e72-szpq
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/5bzu-s87v
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/j6yq-55gr
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/3cpb-evaq
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/4qxx-dpww
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/aug7-k7qc
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/h5ca-5gam
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.48597/j6va-ry45
title: Measurement of Pm25_mass at Aliartos

description: Measurement of Pm25_mass at Aliartos
DOI: 10.6084/m9.figshare.28695671
title: Inverse Design to Capture Latent Real-space Topology in Aperiodic Systems Through Machine Learning

description: The file "Data" contains the datasets presented in the paper titled "Inverse Design to Capture Latent Real-space Topology in Aperiodic Systems Through Machine Learning". There are three folders named "Coupling_for_1D_IDA_model", "Coupling_for_2D_IDA_model", and "Experiments_with_disorders". The first one contains three sheets—"Initial_settings", "Frequency_customization", "Distribution_customization", which are the raw data for generating Figs. 2, 3, S6, and S7. The second one contains three sheets—"Initial_settings", "Frequency_customization", "Distribution_customization", which are the raw data for generating Figs. 5, S10, and S11. The third one contains the raw data from experiments for generating Fig.4c.<br>The file "Code" contains the related code of the paper titled " Inverse Design to Capture Latent Real-space Topology in Aperiodic Systems Through Machine Learning". There are six folders named "GDOA_1D", "GDOA_2D", "1D_original_spectral_localizer", "1D_reduced_spectral_localizer", "2D_original_spectral_localizer", and "Winding_number". The first one contains the codes for generating coupling in Figs. 2, 3, and Figs. S6, S7. The second one contains the codes for generating coupling in Fig. 5, and Figs. S10, S11. The third one contains the codes for generating Figs. 2j–2r. The fourth one contains the codes for generating Figs. 3g–3i, 3k–3m, 3o–3q, 3s–3u, and Figs. 5e, 5g, 5i. The fifth one contains the codes for generating Figs. S9b–S9d, S9f–S9h, and S9j–S9l. The sixth one contains the codes for generating Figs. 3f, 3j, 3n, and 3r.
DOI: 10.6084/m9.figshare.27232593
title: Confronting Forest-Dweller Local Ecological Knowledge and eDNA Measurements of Biodiversity

description: 1- In the face of global changes and the biodiversity crisis, Local Ecological Knowledge of Indigenous communities is increasingly valued for aligning conservation policies with the needs of local communities and enriching conservation strategies through the synergy of diverse knowledge systems.2-To assess whether conservation policies relying on biodiversity metrics integrate the interconnectedness between nature and Indigenous communities, we evaluated the congruence between standardised biodiversity measurements obtained through environmental eDNA (eDNA) and Indigenous Local Ecological Knowledge (LEK).3- We selected 19 sampling sites along the upper Oyapock River in French Guiana. We collected eDNA from the water to inventory fish and game species, and we conducted biodiversity perception surveys with anglers and hunters from the Wayãpi Indigenous group to collect LEK associated with each site.4- Across the studied area, Wayãpi LEK presented different pictures of biodiversity compared to standardised biodiversity assessments. This comparative analysis demonstrates that Wayãpi LEK not only reflects species distribution but also encompasses diverse place-based obligations and relationships.5- This underscores the need to integrate LEK into conservation policies to promote equitable and sustainable environmental decision-making. This can be achieved by encouraging participatory processes that incorporate diverse knowledge systems, enabling the identification of local conservation challenges and the determination of the most suitable compromises.
DOI: 10.15468/dl.f5vpya
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.66821 42.14916,2.70409 42.14916,2.70409 42.17595,2.66821 42.17595,2.66821 42.14916))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2014-2024"
 ]
}

 The dataset includes 146 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007720-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18419/darus-4529
title: Data for: Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors - experimental analysis and Lattice-Boltzmann simulations

description: &lt;p&gt;This DaRUS repository entails the raw files and result files (excluding MATLAB code files, see Gitlab repository including documentation) for the publication "Lagrangian Sensor Particles for detecting hydrodynamic heterogeneities in industrial bioreactors: experimental analysis and Lattice-Boltzmann simulations" in the journal "Chemical Engineering Journal Advances".&lt;/p&gt;

&lt;p&gt;Abstract:&lt;/p&gt;
&lt;p&gt;This study analyzes trajectories of three particle types in an industrial-scale bioreactor, equipped with a Rushton turbine and a pitched blade turbine, to characterize hydrodynamic compartments. The trajectories obtained from measurements with Lagrangian Sensor Particles (&lt;em&gt;LSP,exp&lt;/em&gt;) are compared to those generated by Lattice-Boltzmann large eddy simulations (LB LES). The latter method is used to reproduce analogous simulated LSPs (&lt;em&gt;LSP,sim&lt;/em&gt;) as resolved particles. Additionally, for benchmarking purposes, massless tracer particles (&lt;span style="text-decoration:underline;"&gt;tracer&lt;/span&gt;) are incorporated to accurately represent fluid flow dynamics. Discrepancies in the axial probability of presence and velocity between &lt;em&gt;LSP,exp&lt;/em&gt; and &lt;em&gt;LSP,sim&lt;/em&gt; likely stem from differences in mass distribution, density, number of particles, and ratio of particle size to grid. A necessarily high &lt;em&gt;LSP,sim&lt;/em&gt; volume fraction in LB LES leads to increased collisions and clustering, negatively impacting flow dynamics, and reducing turbulent kinetic energy by at least &lt;span&gt;$3\,\%$&lt;/span&gt;. Circulation and residence time distributions for the three types of particles identify three hydrodynamic compartments within the bioreactor, validated by local mixing time distributions.The ratio of overall average circulation time to global mixing time is &lt;span&gt;$\Theta_\mathrm{glob,95} \approx 3.0\cdot \overline{t}_\mathrm{circ}$&lt;/span&gt; for &lt;em&gt;LSP,exp&lt;/em&gt;, which largely corresponds to literature results. A theoretical LSP size of &lt;span&gt;$d_\mathrm{p,th} \approx 1\,\mathrm{mm}$&lt;/span&gt; is estimated to be flow following on micro-scale in the bulk phase, if a Stokes number of &lt;span&gt;$St=0.1$&lt;/span&gt; is assumed. However, Stokes number estimations confirm that &lt;em&gt;LSP,exp&lt;/em&gt; are capable to follow flow patterns on the meso-scale and macro-scale with &lt;span&gt;$St \approx 0.2$&lt;/span&gt; and &lt;span&gt;$St \approx 0.002$&lt;/span&gt;, respectively. Hence, hydrodynamic structures at length scales greater than or equal to the size of the impeller can be investigated by current state-of-the-art LSPs, which proves their technological readiness for industrial bioreactors.&lt;/p&gt;
description: v1.1 (according Gitlab dataset)
DOI: 10.15468/dl.5d6npr
title: Occurrence Download

description: A dataset containing 42154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fringilla coelebs Linnaeus, 1758",
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Türkiye",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 42154 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007719-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15309699
title: BIOMAT-CellNER Corpus: Train and Validation Sets

description: BIOMAT-CellNER Train and Validation Sets

BIOMAT-CellNER stands for BIOMATerials Cell Named Entity Recognition. It is a corpus developed within the scope of the Horizon Europe BIOMATDB project to support the extraction and classification of cell entity mentions from the scientific literature in the biomaterials domain. It focuses on the annotation of cell mentions, including both cell types (e.g., fibroblasts, stem cells) and cell lines (e.g., HeLa, MC3T3), particularly those that are studied in interaction with biomaterials in experimental settings. The corpus was created through a collaborative effort involving domain experts, who were tasked with the establishment of comprehensive and accurate annotation guidelines for the manual annotation of the final gold standard corpus. To ensure domain relevance and terminological coverage, PubMed abstracts were carefully selected based on relevant MeSH (Medical Subject Headings) categories associated with biomaterials, tissue engineering, and related fields. The abstracts were then manually annotated according to the predefined rules in the annotation guidelines.

This repository contains the train (750 documents) and validation (100 documents) sets of the BIOMAT-CellNER Corpus, which are made available under open access for public use. These sets have been released to support the development of Named Entity Recognition (NER) models for biomaterials-related concept extraction from scientific literature, particularly those mentions referring to cell lines and cell types.

The test set is not included in this repository, as it is reserved for a future shared task planned within the scope of the project. For this reason, access to the full corpus remains restricted, but will be made publicly available upon completion of the shared task.

Resources



Project Website

Biomaterials Marketplace

Biomaterials Database

BIOMAT-CellNER full corpus

Annotation Guidelines
DOI: 10.5281/zenodo.15309700
title: BIOMAT-CellNER Corpus: Train and Validation Sets

description: BIOMAT-CellNER Train and Validation Sets

BIOMAT-CellNER stands for BIOMATerials Cell Named Entity Recognition. It is a corpus developed within the scope of the Horizon Europe BIOMATDB project to support the extraction and classification of cell entity mentions from the scientific literature in the biomaterials domain. It focuses on the annotation of cell mentions, including both cell types (e.g., fibroblasts, stem cells) and cell lines (e.g., HeLa, MC3T3), particularly those that are studied in interaction with biomaterials in experimental settings. The corpus was created through a collaborative effort involving domain experts, who were tasked with the establishment of comprehensive and accurate annotation guidelines for the manual annotation of the final gold standard corpus. To ensure domain relevance and terminological coverage, PubMed abstracts were carefully selected based on relevant MeSH (Medical Subject Headings) categories associated with biomaterials, tissue engineering, and related fields. The abstracts were then manually annotated according to the predefined rules in the annotation guidelines.

This repository contains the train (750 documents) and validation (100 documents) sets of the BIOMAT-CellNER Corpus, which are made available under open access for public use. These sets have been released to support the development of Named Entity Recognition (NER) models for biomaterials-related concept extraction from scientific literature, particularly those mentions referring to cell lines and cell types.

The test set is not included in this repository, as it is reserved for a future shared task planned within the scope of the project. For this reason, access to the full corpus remains restricted, but will be made publicly available upon completion of the shared task.

Resources



Project Website

Biomaterials Marketplace

Biomaterials Database

BIOMAT-CellNER full corpus

Annotation Guidelines
DOI: 10.6084/m9.figshare.28714340
title: Complete mitogenome and phylogenetic analysis of <i>Brassica oleracea</i> L. var. <i>italica</i> Plenck

description: In this study, we assembled and annotated the mitochondrial genome (mitogenome) of <i>B. oleracea</i> L. var. <i>italica</i> Plenck. This mitogenome was found to span 219 964 bp, with a GC content of 45.25%. It comprised 61 genes, including 35 protein-coding, 23 transfer RNA, and three ribosomal RNA genes. Among these, only 11 genes contained introns. Codon preference analysis revealed a bias toward codons ending in A/U bases. A phylogenetic analysis demonstrated a close relationship between <i>B. oleracea</i> L. var. <i>italica</i> Plenck, <i>B. oleracea</i> L. botrytis, and <i>B. oleracea</i> var. <i>capitata</i>. This reference mitogenome provides a basis for research on genetic conservation, phylogenetic relationships, and molecular breeding strategies among members of the <i>Brassica</i> genus.
DOI: 10.6084/m9.figshare.28695101
title: Characterization and phylogenetic analysis of the chloroplast genome of <i>Vicia kulingana</i> (Fabaceae)

description: <i>Vicia kulingana</i> L. H. Bailey 1920, a famous edible and medicinal plant, had its chloroplast genome sequenced in this study to determine its phylogenetic relationship with other related species. The research findings are as follows: 1. The chloroplast genome of <i>V. kulingana</i> was 125, 696 bp long and lacked an inverted repeat unit. 2. The genome contains a total of 102 genes, including 69 protein-coding genes, 28 tRNAs, and 5 ribosomal RNA. 3. Phylogenetic analysis revealed that <i>V. kulingana</i> and other three <i>Vicia</i> species are genetically closely related and are located on the same branch of the phylogenetic tree, indicating a sister group relationship among them. Our results support that <i>Lens</i> was treated as a synonym of <i>Vicia</i>. This study provides a foundation for the identification, classification, and exploration of genetic diversity within the <i>Vicia</i> genus.
DOI: 10.6084/m9.figshare.28695101.v1
title: Characterization and phylogenetic analysis of the chloroplast genome of <i>Vicia kulingana</i> (Fabaceae)

description: <i>Vicia kulingana</i> L. H. Bailey 1920, a famous edible and medicinal plant, had its chloroplast genome sequenced in this study to determine its phylogenetic relationship with other related species. The research findings are as follows: 1. The chloroplast genome of <i>V. kulingana</i> was 125, 696 bp long and lacked an inverted repeat unit. 2. The genome contains a total of 102 genes, including 69 protein-coding genes, 28 tRNAs, and 5 ribosomal RNA. 3. Phylogenetic analysis revealed that <i>V. kulingana</i> and other three <i>Vicia</i> species are genetically closely related and are located on the same branch of the phylogenetic tree, indicating a sister group relationship among them. Our results support that <i>Lens</i> was treated as a synonym of <i>Vicia</i>. This study provides a foundation for the identification, classification, and exploration of genetic diversity within the <i>Vicia</i> genus.
DOI: 10.6084/m9.figshare.28689447
title: The complete chloroplast genome of <i>Polygala tatarinowii</i> (Polygalaceae)

description: <i>Polygala tatarinowii</i> (Polygalaceae) is an annual herb with ecological, medicinal, and agricultural potential. Here, we present the inaugural assembly of its chloroplast genome (plastome). The total plastome spans 168,779 bp in length, featuring two expanded inverted repeat (IR) regions measuring 43,427 bp each, flanking a large single-copy (LSC) region of 73,712 bp and a small single-copy (SSC) region of 8213 bp. The plastome exhibits a GC content of 36.8%. Annotation of the plastome revealed a total of 112 unique genes, comprising 78 protein-coding genes, 30 tRNAs and 4 rRNAs. Uncommonly, two copies of the <i>trn</i>Q<sup>UUG</sup> gene were identified within the IRs, resulting in the presence of three <i>trn</i>Q<sup>UUG</sup> copies in this plastome. Additionally, reductions were observed in the <i>ycf</i>1 and <i>ycf</i>2 genes. Phylogenetic analysis effectively resolves the relationships among sampled Polygalaceae species. Our findings underscore the instrumental role of plastomes in advancing research on the systematics, phylogenetics, and genetic diversity of Polygalaceae.
DOI: 10.6084/m9.figshare.28689447.v1
title: The complete chloroplast genome of <i>Polygala tatarinowii</i> (Polygalaceae)

description: <i>Polygala tatarinowii</i> (Polygalaceae) is an annual herb with ecological, medicinal, and agricultural potential. Here, we present the inaugural assembly of its chloroplast genome (plastome). The total plastome spans 168,779 bp in length, featuring two expanded inverted repeat (IR) regions measuring 43,427 bp each, flanking a large single-copy (LSC) region of 73,712 bp and a small single-copy (SSC) region of 8213 bp. The plastome exhibits a GC content of 36.8%. Annotation of the plastome revealed a total of 112 unique genes, comprising 78 protein-coding genes, 30 tRNAs and 4 rRNAs. Uncommonly, two copies of the <i>trn</i>Q<sup>UUG</sup> gene were identified within the IRs, resulting in the presence of three <i>trn</i>Q<sup>UUG</sup> copies in this plastome. Additionally, reductions were observed in the <i>ycf</i>1 and <i>ycf</i>2 genes. Phylogenetic analysis effectively resolves the relationships among sampled Polygalaceae species. Our findings underscore the instrumental role of plastomes in advancing research on the systematics, phylogenetics, and genetic diversity of Polygalaceae.
DOI: 10.5281/zenodo.15309748
title: Levreaging Quantum Layers in Hybrid Neural Networks
DOI: 10.5281/zenodo.15309749
title: Levreaging Quantum Layers in Hybrid Neural Networks