cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17805043
title: Drone Processed Images for Coastal Litter Detection (RGB, Thermal, Multispectral)

description: This repository contains a processed image dataset acquired during drone-based surveys for coastal litter pollution detection. The data were collected using RGB, thermal, and multispectral camera payloads flown at multiple altitudes (30 m, 60 m, 90 m, and 120 m) over coastal environments with varying shoreline morphology and litter density.

The primary objective of this dataset is to support the development, training and evaluation of image processing and machine learning methods for automatic detection, mapping and monitoring of litter along the coastline. By providing multi-sensor and multi-altitude imagery, the dataset enables users to investigate how spatial resolution, spectral information and observation geometry influence the detectability of different types of coastal litter.

The processed images included here are derived from dedicated flights carried out under controlled acquisition conditions (consistent flight plans, overlap settings and sensor configurations). Each image is associated with basic metadata such as sensor type and flight altitude; additional metadata can be added by users as needed for their specific workflows.

Potential applications of this dataset include (but are not limited to):





Training and testing of coastal litter detection algorithms




Benchmarking different feature extraction and classification methods




Comparative studies of RGB vs thermal vs multispectral sensing for marine litter




Methodological research on optimal flight altitude and sensor configuration for coastal monitoring



Users are encouraged to cite this dataset when using it in scientific publications, reports or software tools related to coastal litter monitoring, marine pollution assessment or environmental remote sensing.
DOI: 10.15156/bio/sh1279745.10fu
title: SH1279745.10FU

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: 10.5281/zenodo.17805042
title: Drone Processed Images for Coastal Litter Detection (RGB, Thermal, Multispectral)

description: This repository contains a processed image dataset acquired during drone-based surveys for coastal litter pollution detection. The data were collected using RGB, thermal, and multispectral camera payloads flown at multiple altitudes (30 m, 60 m, 90 m, and 120 m) over coastal environments with varying shoreline morphology and litter density.

The primary objective of this dataset is to support the development, training and evaluation of image processing and machine learning methods for automatic detection, mapping and monitoring of litter along the coastline. By providing multi-sensor and multi-altitude imagery, the dataset enables users to investigate how spatial resolution, spectral information and observation geometry influence the detectability of different types of coastal litter.

The processed images included here are derived from dedicated flights carried out under controlled acquisition conditions (consistent flight plans, overlap settings and sensor configurations). Each image is associated with basic metadata such as sensor type and flight altitude; additional metadata can be added by users as needed for their specific workflows.

Potential applications of this dataset include (but are not limited to):





Training and testing of coastal litter detection algorithms




Benchmarking different feature extraction and classification methods




Comparative studies of RGB vs thermal vs multispectral sensing for marine litter




Methodological research on optimal flight altitude and sensor configuration for coastal monitoring



Users are encouraged to cite this dataset when using it in scientific publications, reports or software tools related to coastal litter monitoring, marine pollution assessment or environmental remote sensing.
DOI: 10.15156/bio/sh1279748.10fu
title: SH1279748.10FU

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/sh1279749.10fu
title: SH1279749.10FU

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/sh1279750.10fu
title: SH1279750.10FU

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/sh1279751.10fu
title: SH1279751.10FU

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/sh1279754.10fu
title: SH1279754.10FU

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/sh1279755.10fu
title: SH1279755.10FU

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/sh1279756.10fu
title: SH1279756.10FU

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/sh1279757.10fu
title: SH1279757.10FU

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.emb9fu
title: Occurrence Download

description: A dataset containing 424 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Faucaria Schwantes"
 ]
}

 The dataset includes 424 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007244-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/hon8ft
title: Replication Data for: Protecting civilians in inter-communal conflict through remote sensing of climate impacts

description: Replication Data
DOI: 10.15468/dl.2t9ykd
title: Occurrence Download

description: A dataset containing 887 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Diplolaemus Bell, 1843"
 ]
}

 The dataset includes 887 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015599-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15124/129d5827-418b-44a3-bb6e-2dc0dcf10340
title: Data for Article "Fine-tuning the dispersion of active suspensions using oscillatory flows"

description: This dataset contains files related to the publication:

Caldag, H.O. & Bees, M.A. Fine-tuning the dispersion of active suspensions using oscillatory flows. https://doi.org/10.1098/rsta.2024.0259

The supplementary files contain two folders and four videos.

Folders:
- Individual-Based Simulations contain all the codes used in the individual-based simulations.
- oomph-lib FEM code contains the code for the continuum-based solution.

Each folder has a separate README file. Check them for further information.

Files:

- Caldag_Bees_Supplementary_1.mp4 is the experiment video with Wo=3.58 (See Figs. 1b-i)

- Caldag_Bees_Supplementary_2.mp4 is the experiment video with Wo=4.52 (See Figs. 1j-m)

- Caldag_Bees_Supplementray_3.mp4 is an animation of particles simulated with the Lagrangian-based approach, showing how they disperse at the whole spectrum of Wo tested.

- Caldag_Bees_Supplementray_4.avi is an animation of concentration distribution simulated with the Eulerian-based approach, showing how they disperse at three Wo values discussed in the article.
DOI: 10.5281/zenodo.15497604
title: List of used genomes for bacterial pan-genome with RefSeqID and Name (6115 strains)
DOI: 10.5281/zenodo.15497605
title: List of used genomes for bacterial pan-genome with RefSeqID and Name (6115 strains)
DOI: 10.15468/dl.zqjngh
title: Occurrence Download

description: A dataset containing 2148 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Indonesia",
 "OccurrenceStatus is Present",
 "TaxonKey is Castanopsis (D.Don) Spach"
 ]
}

 The dataset includes 2148 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015600-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3uu3hc
title: Occurrence Download

description: A dataset containing 61572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eotetranychus clitus Pritchard & Baker, 1955, Oberea perspicillata Haldeman, 1847, Nola mesoscota Hampson, 1909, Comibaena argentataria (Leech, 1897), Phragmidium acuminatum (Fr.) Cooke, Hamaspora australis G.Cunn., Callaeas cinereus wilsoni (Bonaparte, 1850), Naratettix matsumurai Dworakowska, 1980, Chlorocharis emiliae Sharpe, 1888, Henicolabus spinipes Dalla Torre & Voss, 1930, Thyatira batis formosicola Matsumura, 1933, Platynaspis luteorubra (Goeze, 1777), Myodes rufocanus (Sundevall, 1846), Heliophorus brahma (Moore, 1857), Lycaena rubidus (Behr, 1866), Mantura floridana Crotch, 1873, Euura annulata (Gimmerthal, 1834), Asterostroma cervicolor (Berk. & M.A.Curtis) Massee, Labidostomis tridentata (Linnaeus, 1758), Mantura obtusata (Gyllenhal, 1813), Rhinoncus pericarpius (C.Linnaeus, 1758), Ametastegia tenera (Fallén, 1808), Mantura rustica (Linnaeus, 1767), Perapion hydrolapathi (Marsham, 1802), Chamaesphecia anthraciformis (Rambur, 1832), Anaphes luna (Girault, 1914), Neophema pulchella (Shaw, 1792), Ustilago agropyri McAlpine, Euphyes arpa (Boisduval & Le Conte, 1829), Palmanychus steganus (Pritchard & Baker, 1955), Tenuipalpus dasples Baker & Pritchard, 1953, Cercospora longipes E.J.Butler, Colletotrichum falcatum Went, Bipolaris sacchari (E.J.Butler) Shoemaker, Didymosphaeria taiwanensis W.Y.Yen & C.C.Chi, Xanthomonas albilineans (Ashby, 1929) Dowson, 1943, Clypeoporthe iliau (Lyon) M.E.Barr, Myriogenospora aciculispora Vizioli, Dimeriella sacchari (Breda de Haan) Hansf. ex E.V.Abbott, Marasmius sacchari Wakker, Passalora koepkei (W.Krüger) U.Braun & Crous, Passalora vaginae (W.Krüger) U.Braun & Crous, Tarsonemus randsi Ewing, 1939, Dipha aphidivora Meyrick, 1934, Bothrogonia tibetana Yang & Li, 1980, Mahanarva fimbriolata (Stål, 1854), Syrphophagus celia (Girault, 1917), Sibinia primita A.Hustache, 1931, Coilia dussumieri Valenciennes, 1848, Naso hexacanthus (Bleeker, 1855))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 61572 records from 765 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015594-250515123054153/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.29123450
title: FungalGO_data.and.code.zip

description: Plant-microbe interactions are critical in shaping forest dynamics, yet molecular functions through which foliar endophytic fungi (FEF) influence seedling survival and coexistence remain unresolved. Combining FEF transcriptomics with seedling dynamics in a subtropical forest, we tested whether FEF molecular functions regulate seedling survival via host fitness differences and niche differentiation under modern coexistence theory. We found FEF transcripts diversity strongly associated with host divergence time and maximum height, and FEF functions significantly enhance seedling survival through fitness-related and niche-related processes. Among these FEF functions, gene ontology (GO) terms with high host-phylogeny dependence enhance seedling survival through fitness differences associated with stimulus responses and multi-organism interactions, and those with high host-trait dependence enhanced seedling survival through fitness differences related to basic life processes. For GOs independent to host-phylogeny and host-trait, they enhance seedling survival via increased niche differentiation. Our findings bridge microbial functional genomics with modern coexistence theory in natural forests.
DOI: 10.25345/c5fx7499j
title: MassIVE MSV000097978 - E3 ubiquitin ligase TRIP12 catalyzes non-canonical lysine-independent ubiquitin-ubiquitin linkages in vitro
title: Mass spectrometry raw data and proteomic results relating to: E3 ubiquitin ligase TRIP12 catalyzes non-canonical lysine-independent ubiquitin-ubiquitin linkages in vitro
DOI: 10.6075/j0sf2wjr
title: Newport Beach Pier (Instrument ID: IFCB160). In California Imaging FlowCytobot Network (CA IFCB Network)

description: Type of deployment: Coastal, underwater
Intake depth: 2-4m

Data Quality Control: data has not yet undergone QC.
DOI: 10.6075/j0pn9603
title: Del Mar Mooring (Instrument ID: IFCB158). In California Imaging FlowCytobot Network (CA IFCB Network)

description: Type of deployment: Offshore, underwater
Intake depth: 3-4m

Data Quality Control: Samples that failed to meet the QC criteria and should be excluded from future analyses are marked with a skip_flag value of 1 in the metadata.csv file. The QC process is performed regularly with a time lag of 1-2 months behind real-time data collection.
DOI: 10.6084/m9.figshare.29137013
title: Data_for_2503.09937

description: "Transverse_momentum.CSV" and "Azimuthal_angle.CSV" are data for Figure. (2) and Figure. (4). "Energy.CSV" is data for Figure. (3) and Figure. (5).
DOI: 10.15468/dl.p4873p
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plecturocebus toppini (Thomas, 1914)"
 ]
}

 The dataset includes 220 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015602-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ez2jt2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.6_1",
 "TaxonKey is Andrena levipes LaBerge, 1967"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015601-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah4g9w
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Burundi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Tachyoryctes splendens (Rüppell, 1835), Praomys delectorum (Thomas, 1910))"
 ]
}

 The dataset includes 80 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015603-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.