cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16940327
title: Base de données  : Approche machine learning pour le suivi des changements de l'occupation / utilisation du sol des Zones humides littorales de Bretagne

description: Description de la base de données

Cette base de données regroupe les résultats de cartographies automatiques de l’occupation et de l’utilisation du sol appliquées aux zones humides littorales de Bretagne, réalisées dans le cadre de la thèse :Approche machine learning pour le suivi des changements de l’occupation / utilisation du sol des zones humides littorales de Bretagne.

⚠️ Important : Les images satellitaires utilisées (SPOT, RapidEye, Pléiades, Sentinel-2) ne sont pas incluses dans ce dépôt, en raison de limitations de stockage et de contraintes liées aux droits d’utilisation. Seules les classifications dérivées, les styles et les données d’entraînement sont disponibles.

Les cartographies sont produites à partir de trois méthodes d’apprentissage automatique :





CNN (Convolutional Neural Networks)




RF (Random Forest)




M3-Fusion



Contenu

La base comprend :





Les cartes classées au format GeoTIFF (.tif)




Les styles associés au format QML (.qml)




Les données d’entraînement au format Shapefile (.shp), constituées de polygones issus de la photo-interprétation, utilisés pour l’extraction de données matricielles ou de patches selon les algorithmes.




Pour chaque classification, une matrice de confusion est fournie.



Organisation de l’arborescence







 



Zone d’étude → Année → Algorithme → Classification + Matrice de confusion



Zones et périodes étudiées

Les cartographies portent sur trois sites littoraux bretons, à quatre dates différentes :





Sites d’étude :





Presqu’île de Crozon




Baie d’Audierne




Zones humides littorales de Guissény






Années disponibles :





2005




2011




2018




2021





Sources de données satellitaires

Les classifications sont issues de l’intégration multi-capteurs :





SPOT 2 / 3 / 4 / 5 / 6-7




RapidEye




Pléiades




Sentinel-2



Légende des classes

La nomenclature comprend 12 classes thématiques :





Eau profonde / océanique




Vasière / Estran




Prairie mésophile / Agriculture




Forêt non humide




Sable / Sol nu / Dune




Lande




Imperméable /  Côte granitique




Pré salé




Eau continentale et estuarienne




Prairie hydrophile




Forêt hydrophile




Tourbière et bas-marais



Référence

Toutes les combinaisons d’implémentations des images satellitaires et des méthodes de classification sont détaillées dans la thèse :Approche machine learning pour le suivi des changements de l’occupation / utilisation du sol des zones humides littorales de Bretagne.
DOI: 10.5281/zenodo.16940328
title: Base de données  : Approche machine learning pour le suivi des changements de l'occupation / utilisation du sol des Zones humides littorales de Bretagne

description: Description de la base de données

Cette base de données regroupe les résultats de cartographies automatiques de l’occupation et de l’utilisation du sol appliquées aux zones humides littorales de Bretagne, réalisées dans le cadre de la thèse :Approche machine learning pour le suivi des changements de l’occupation / utilisation du sol des zones humides littorales de Bretagne.

⚠️ Important : Les images satellitaires utilisées (SPOT, RapidEye, Pléiades, Sentinel-2) ne sont pas incluses dans ce dépôt, en raison de limitations de stockage et de contraintes liées aux droits d’utilisation. Seules les classifications dérivées, les styles et les données d’entraînement sont disponibles.

Les cartographies sont produites à partir de trois méthodes d’apprentissage automatique :





CNN (Convolutional Neural Networks)




RF (Random Forest)




M3-Fusion



Contenu

La base comprend :





Les cartes classées au format GeoTIFF (.tif)




Les styles associés au format QML (.qml)




Les données d’entraînement au format Shapefile (.shp), constituées de polygones issus de la photo-interprétation, utilisés pour l’extraction de données matricielles ou de patches selon les algorithmes.




Pour chaque classification, une matrice de confusion est fournie.



Organisation de l’arborescence







 



Zone d’étude → Année → Algorithme → Classification + Matrice de confusion



Zones et périodes étudiées

Les cartographies portent sur trois sites littoraux bretons, à quatre dates différentes :





Sites d’étude :





Presqu’île de Crozon




Baie d’Audierne




Zones humides littorales de Guissény






Années disponibles :





2005




2011




2018




2021





Sources de données satellitaires

Les classifications sont issues de l’intégration multi-capteurs :





SPOT 2 / 3 / 4 / 5 / 6-7




RapidEye




Pléiades




Sentinel-2



Légende des classes

La nomenclature comprend 12 classes thématiques :





Eau profonde / océanique




Vasière / Estran




Prairie mésophile / Agriculture




Forêt non humide




Sable / Sol nu / Dune




Lande




Imperméable /  Côte granitique




Pré salé




Eau continentale et estuarienne




Prairie hydrophile




Forêt hydrophile




Tourbière et bas-marais



Référence

Toutes les combinaisons d’implémentations des images satellitaires et des méthodes de classification sont détaillées dans la thèse :Approche machine learning pour le suivi des changements de l’occupation / utilisation du sol des zones humides littorales de Bretagne.
DOI: 10.15468/dl.ykpnfj
title: Occurrence Download

description: A dataset containing 1689 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The Danish Ant Hunt"
 ]
}

 The dataset includes 1689 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042367-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cbmkdx
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042368-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v6waf8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichomycterus atochae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042369-250811113504898/datasets/export for details.
DOI: 10.15468/dl.5gsae5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is Djibouti",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042371-250811113504898/datasets/export for details.
DOI: 10.15468/dl.m6fbjx
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is Denmark",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042370-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.76953s
title: Occurrence Download

description: A dataset containing 272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 272 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042372-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/07dddb6a-8fcd-47a7-b8ad-584bafb8cfd5
title: Data underlying the publication "Quantum Frequency Conversion of Single Photons from a Tin-Vacancy Center in Diamond"

description: Data underlying the research article "Quantum Frequency Conversion of Single Photons from a Tin-Vacancy Center in Diamond". In this physics experiment, we demonstrate the quantum frequency conversion of single photons from a tin-vacancy center in diamond for quantum network applications.The dataset contains the measured data and the python code to analyse and reproduce the figures shown in the main text. The measurements are conducted with the Python 3 framework Quantum Measurement Interface (QMI) and data is collected with Python-based data acquisition framework Quantify. The measured and simulated data is stored in individual hdf5 files. Analysed data is stored in hdf5 files named processed dataset.
DOI: 10.4121/07dddb6a-8fcd-47a7-b8ad-584bafb8cfd5.v1
title: Data underlying the publication "Quantum Frequency Conversion of Single Photons from a Tin-Vacancy Center in Diamond"

description: Data underlying the research article "Quantum Frequency Conversion of Single Photons from a Tin-Vacancy Center in Diamond". In this physics experiment, we demonstrate the quantum frequency conversion of single photons from a tin-vacancy center in diamond for quantum network applications.The dataset contains the measured data and the python code to analyse and reproduce the figures shown in the main text. The measurements are conducted with the Python 3 framework Quantum Measurement Interface (QMI) and data is collected with Python-based data acquisition framework Quantify. The measured and simulated data is stored in individual hdf5 files. Analysed data is stored in hdf5 files named processed dataset.
DOI: 10.15468/dl.xrexpd
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 107 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042374-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9pt5b7
title: Occurrence Download

description: A dataset containing 788 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 788 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042375-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ybx9a
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pungitius hellenicus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 6 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042373-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rrr2p2
title: Occurrence Download

description: A dataset containing 11526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 11526 records from 104 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042376-250811113504898/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/12852109
title: Performance of Mutual Funds in Pakistan
DOI: 10.15468/dl.d4yhaa
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus indicus",
 "Country is Zimbabwe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042377-250811113504898/datasets/export for details.
DOI: 10.15468/dl.kt8k2n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Barilius modestus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042378-250811113504898/datasets/export for details.
DOI: 10.15468/dl.6jvd8k
title: Occurrence Download

description: A dataset containing 5044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Paraguay, Argentina, Brazil, Bolivia (Plurinational State of))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Triatoma sordida, Triatoma infestans, Triatoma guazu, Pastrongylus megistus, Geniculatus, Triatoma guasayana)",
 "Year 2008-2025"
 ]
}

 The dataset includes 5044 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042379-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3wxzsq
title: Occurrence Download

description: A dataset containing 23694 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anemonia viridis"
 ]
}

 The dataset includes 23694 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042380-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x39dae
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Origanum minutiflorum"
 ]
}

 The dataset includes 20 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042381-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.txzhgjjt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.tardfq
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poropuntius opisthopterus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 23 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042384-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1092142
title: Images and Report from an Heritage Statement for The Old Joiners Shop, Lartington Hall, Co. Durham 2021-22

description: This collection comprises of images and a report on the Heritage Statement of a small group of former workshops associated with Lartington Hall in Lartington, County Durham, although the proposed development site sits within the parish of Cotherstone. The buildings are locally referred to as the Old Joiner's Shop or the Old Carpenter's Shop. The Statement of Significance element of this report is designed to help inform the design of the conversion of the buildings into residential use by assessing their significance and setting so that those elements of greatest significance are protected from harm. This significance is understood by exploring the history of the buildings and their setting and how they developed over time. A separate Heritage Impact Assessment at the end of the report assesses the resulting proposed development against this significance.
DOI: 10.4121/02635a70-a5c4-4616-af69-62b8b85975f5
title: Analysis of engineering education interventions using the Framework for Identifying the Embedding of TheorieS (FIETS)

description: The dataset was obtained in a qualitative content analysis of papers of engineering education interventions in their use of educational theories in abstract, background, intervention design and intervention analysis. It was used to validate the Framework for Identifying the Embedding of TheorieS (FIETS) and demonstrate its usefulness for analysing the theoretical embedding of a given body of literature on educational interventions.
DOI: 10.15468/dl.vm2wra
title: Occurrence Download

description: A dataset containing 1244395 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sphenisciformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Machine Observation)"
 ]
}

 The dataset includes 1244395 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042351-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/02635a70-a5c4-4616-af69-62b8b85975f5.v1
title: Analysis of engineering education interventions using the Framework for Identifying the Embedding of TheorieS (FIETS)

description: The dataset was obtained in a qualitative content analysis of papers of engineering education interventions in their use of educational theories in abstract, background, intervention design and intervention analysis. It was used to validate the Framework for Identifying the Embedding of TheorieS (FIETS) and demonstrate its usefulness for analysing the theoretical embedding of a given body of literature on educational interventions.
DOI: 10.15468/dl.ce4wka
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Belarus",
 "HasCoordinate is true"
 ]
}

 The dataset includes 118 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042388-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vp6a67
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 16 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042385-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16941787
title: IOTC Reporting Forms for Fisheries Statistics

description: This deposit provides the current versions of all reporting forms required under the framework of the Indian Ocean Tuna Commission (IOTC). The forms standardise the submission of fisheries statistics and related information by Contracting Parties and Cooperating Non-Contracting Parties (CPCs), and they may also be used by non-CPCs fishing for tuna and tuna-like species in the IOTC Area of Competence.

The forms cover a range of mandatory datasets, including landings, discards, geo-referenced effort and catches, geo-referenced size frequencies, activities related to anchored and drifting Fish Aggregating Devices (FADs), buoy positions used in large-scale purse seine fisheries, fishing craft statistics, and time series of fish prices. The content and structure of each dataset are described in the IOTC Data Reporting Guidelines.

The forms are maintained and periodically updated by the IOTC Secretariat to ensure consistency with adopted Resolutions and data standards. They support CPCs in fulfilling their reporting obligations, facilitate data processing and validation, and contribute to the scientific and compliance work of the Commission. Detailed descriptions and field formats, together with examples, are available from the IOTC Form webpage.

This deposit consolidates the official templates in a single accessible repository to enhance transparency, reproducibility, and ease of use by CPCs, researchers, and other stakeholders.
DOI: 10.5281/zenodo.16941788
title: IOTC Reporting Forms for Fisheries Statistics

description: This deposit provides the current versions of all reporting forms required under the framework of the Indian Ocean Tuna Commission (IOTC). The forms standardise the submission of fisheries statistics and related information by Contracting Parties and Cooperating Non-Contracting Parties (CPCs), and they may also be used by non-CPCs fishing for tuna and tuna-like species in the IOTC Area of Competence.

The forms cover a range of mandatory datasets, including landings, discards, geo-referenced effort and catches, geo-referenced size frequencies, activities related to anchored and drifting Fish Aggregating Devices (FADs), buoy positions used in large-scale purse seine fisheries, fishing craft statistics, and time series of fish prices. The content and structure of each dataset are described in the IOTC Data Reporting Guidelines.

The forms are maintained and periodically updated by the IOTC Secretariat to ensure consistency with adopted Resolutions and data standards. They support CPCs in fulfilling their reporting obligations, facilitate data processing and validation, and contribute to the scientific and compliance work of the Commission. Detailed descriptions and field formats, together with examples, are available from the IOTC Form webpage.

This deposit consolidates the official templates in a single accessible repository to enhance transparency, reproducibility, and ease of use by CPCs, researchers, and other stakeholders.
DOI: 10.15468/dl.z552pw
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Melilotus officinalis",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 49 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042386-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.