cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/c66-1qt-z5m
title: Charanyca (Charanyca) trigrammica (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yh3-l5h-m92
title: Papilio peranthus Fabricius, 1787

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1ap-rhs-f7d
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cnk-kw7-7pb
title: Hoplodrina ambigua ([Denis & Schiffermüller], 1775)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3886/e110384v1
title: test

description: testse
DOI: 10.3535/h8y-e7b-c8p
title: Graphium antheus (Cramer, [1779] )

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pjh-nk0-3c5
title: Lepidoptera Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.17026/dans-zm6-tqqu
title: PAN-00087387 - coin/coin-related, Godfried van Rhenen (1156-1178), penning

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00087387&lt;/p&gt;
description: Modified: 2021-09-15T12:01:05+02:00
DOI: 10.3535/7wh-kb0-c93
title: Papilio karna Felder & Felder, 1864

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/s7f-jvb-xs6
title: Amphipyra (Amphipyra) tragopoginis (Clerck, 1759)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wc0-g9l-s6x
title: Caradrina (Paradrina) clavipalpis (Scopoli, 1763)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.15810014
title: Underwater images collected by an Autonomous Surface Vehicle in Etang-Sale, Réunion - 2025-06-18

description: This dataset was collected by an Autonomous Surface Vehicle in Etang-Sale, Réunion - 2025-06-18. 

            Underwater or aerial images collected by scientists or citizens can have a wide variety of use for science, management, or conservation.
            These images can be annotated and shared to train IA models which can in turn predict the objects on the images.
            We provide a set of tools (hardware and software) to collect marine data, predict species or habitat, and provide maps.

            This dataset is part of larger collection referencing numerous underwater and aerial images Seatizen Altas. 
            Methods, tools and scientific objectives are also described in a dedicated data paper.

            

            
 Generic folder structure 
            
            YYYYMMDD_COUNTRYCODE-optionalplace_device_session-number 
            ├── DCIM :  folder to store videos and photos depending on the media collected. 
            ├── GPS :  folder to store any positioning related file. If any kind of correction is possible on files (e.g. Post-Processed Kinematic thanks to rinex data) then the distinction between device data and base data is made. If, on the other hand, only device position data are present and the files cannot be corrected by post-processing techniques (e.g. gpx files), then the distinction between base and device is not made and the files are placed directly at the root of the GPS folder. 
            │   ├── BASE :  files coming from rtk station or any static positioning instrument. 
            │   └── DEVICE : files coming from the device. 
            ├── METADATA : folder with general information files about the session. 
            ├── PROCESSED_DATA : contain all the folders needed to store the results of the data processing of the current session. 
            │   ├── BATHY :  output folder for bathymetry raw data extracted from mission logs. 
            │   ├── FRAMES :  output folder for georeferenced frames extracted from DCIM videos. 
            │   ├── IA :  destination folder for image recognition predictions. 
            │   └── PHOTOGRAMMETRY :  destination folder for reconstructed models in photogrammetry. 
            └── SENSORS : folder to store files coming from other sources (bathymetry data from the echosounder, log file from the autopilot,  mission plan etc.).       
            

            
 Software 
            All the raw data was processed using our worflow. All predictions were generated by our inference pipeline. You can find all the necessary scripts to download this data in this repository. Enjoy your data with SeatizenDOI!
description: The Plancha project is co-financed by the Prefecture of Reunion as part of a 2019-2022 convergence and transformation contract, measure 3.3.1.1
DOI: 10.15468/dl.zhj4uh
title: Occurrence Download

description: A dataset containing 2227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Euonymus japonicus Thunb.",
 "Year 2010-2020"
 ]
}

 The dataset includes 2227 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003881-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/675997d41af33
title: 2023 Bangor University North Llyn Dive Survey

description: Dive survey of experimental pot fishing on Modiolus modiolus reef in Pen Llŷn a'r Sarnau SAC. Divers recorded quadrats in a control-impact design in the footprint of fishing pots (impact) and in adjacent control locations (control) following gear hauling.
DOI: 10.5281/zenodo.7473506
title: LOPC (Laser Optical Plankton Counter) data from two MVP transects taken during PolarFront cruise 2022-05

description: PolarFront 2022-05 LOPC on MVP

The datasets contains particle and plankton counts in the size range 0.1 to 30 mm along two transects, obtained by a Laser Optical Plankton Counter (LOPC) mounted on a Moving Vessel Profiler (MVP).




Transect
Point
Date
UTC
Latitude
Longitude


S1
start
2022-05-20
06:57:00
74.993
29.535


S1
end
2022-05-20
16:16:00
75.894
29.916


S2
start
2022-05-23
16:03:00
75.407
28.991


S2
end
2022-05-24
03:43:00
76.722
29.5




The same instrument was also used to capture profiles on the Frankenstein rosette: https://doi.org/10.5281/zenodo.7473511.
DOI: 10.5281/zenodo.7473507
title: LOPC (Laser Optical Plankton Counter) data from two MVP transects taken during PolarFront cruise 2022-05

description: PolarFront 2022-05 LOPC on MVP

The datasets contains particle and plankton counts in the size range 0.1 to 30 mm along two transects, obtained by a Laser Optical Plankton Counter (LOPC) mounted on a Moving Vessel Profiler (MVP).




Transect
Point
Date
UTC
Latitude
Longitude


S1
start
2022-05-20
06:57:00
74.993
29.535


S1
end
2022-05-20
16:16:00
75.894
29.916


S2
start
2022-05-23
16:03:00
75.407
28.991


S2
end
2022-05-24
03:43:00
76.722
29.5




The same instrument was also used to capture profiles on the Frankenstein rosette: https://doi.org/10.5281/zenodo.7473511.
DOI: 10.15468/dl.j8u47w
title: Occurrence Download

description: A dataset containing 1117 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vigna lasiocarpa (Mart. ex Benth.) Verdc."
 ]
}

 The dataset includes 1117 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041103-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcbw85
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Psychotria niauensis sp. nov. (Rubiaceae), espèce calcicole endémique de la Polynésie française, décrite de l’atoll soulevé de Niau (Tuamotu)"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041104-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.swm5be
title: Occurrence Download

description: A dataset containing 2593837 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is 2023 Contributions of Plant Specimen Data inside China"
 ]
}

 The dataset includes 2593837 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041083-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14504797
title: Dataset accompanying: Centennial-scale atmospheric CO2 rise increased photosynthetic efficiency in a tropical tree species

description: This dataset accompanies the New Phytologist paper: Centennial-scale atmospheric CO2 rise increased photosynthetic efficiency in a tropical tree species. With DOI: 10.1111/nph.20358. This dataset is a duplicate of the Zenodo dataset with DOI: 10.5281/zenodo.14280864. The publishing is duplicate due to an error with the first upload during the publishing process of the article at New Phytologist.
DOI: 10.5281/zenodo.14523902
title: Characteristic of VOC and their OFP, SOAFP
DOI: 10.15468/dl.hp2t34
title: Occurrence Download

description: A dataset containing 38 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aedes vexans (Meigen, 1830))",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 38 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041105-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gywzwg
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Michelia L.",
 "Year 1970-2000"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041107-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcbk9q
title: Occurrence Download

description: A dataset containing 132216 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ceratophyllum demersum L."
 ]
}

 The dataset includes 132216 records from 1096 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041061-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53kgpy
title: Occurrence Download

description: A dataset containing 131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hevea brasiliensis (Willd. ex A.Juss.) Müll.Arg."
 ]
}

 The dataset includes 131 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041110-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q25tev
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cinnamomum bodinieri H.Lév.",
 "Year 1970-2000"
 ]
}

 The dataset includes 69 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041111-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13016/m2t34u-jbhn
title: Equity in Transportation Policy Interviews, Transcriptions, and Keyword Coding

description: Transcriptions and coding of interviews with Delaware Department of Transportation officials regarding the implementation of equity principles in public policy decisions.
description: Equitable outcomes is an increasingly important principle for expenditures by state Departments of Transportation, yet little is known about the methods and procedures used to incorporate equity into financial decision-making. This applied research project will employ semi-structured interviews with key personnel in the Delaware Department of Transportation (DelDOT) to illuminate their conceptualization of equity and how the concept influences capital expenditures. The interview data will be compared to the state of the art of equity in transportation and infrastructure spending, which will be gleaned through a literature review. The resulting analysis will highlight gaps and innovative practices at DelDOT, which will lead to recommendations for closing gaps and accentuating positive practices and outcomes. Research findings will be communicated to DelDOT leadership and local government officials.
DOI: 10.15468/dl.skwyb7
title: Occurrence Download

description: A dataset containing 549 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Alternanthera philoxeroides (Mart.) Griseb."
 ]
}

 The dataset includes 549 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041113-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14459/2024mp1764900
title: Characterization of the spin and crystal field Hamiltonian of erbium dopants in silicon

description: Data used to produce the figures of the publication "Characterization of the spin and crystal field Hamiltonian of erbium dopants in silicon" 2024
(corrected version)
DOI: 10.5281/zenodo.14524202
title: Datasets and models for "The Interaction of Human Serum Components with Model Membranes Containing Phospholipids and Lipopolysaccharides"

description: Neutron datasets and refnx scripts to fit the data relative to the paper The Interaction of Human Serum Components with Model Membranes Containing Phospholipids and Lipopolysaccharides"
DOI: 10.5281/zenodo.14524203
title: Datasets and models for "The Interaction of Human Serum Components with Model Membranes Containing Phospholipids and Lipopolysaccharides"

description: Neutron datasets and refnx scripts to fit the data relative to the paper The Interaction of Human Serum Components with Model Membranes Containing Phospholipids and Lipopolysaccharides"
DOI: 10.15468/dl.jd23vb
title: Occurrence Download

description: A dataset containing 102918 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica anagallis-aquatica L."
 ]
}

 The dataset includes 102918 records from 1460 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041106-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1155677.10fu
title: SH1155677.10FU

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/sh1155679.10fu
title: SH1155679.10FU

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/sh1155681.10fu
title: SH1155681.10FU

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/sh1155683.10fu
title: SH1155683.10FU

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/sh1155684.10fu
title: SH1155684.10FU

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/sh1155685.10fu
title: SH1155685.10FU

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/sh1155688.10fu
title: SH1155688.10FU

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.