cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/juvn8c
title: Happywhale - Bowhead in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/zfxpug
title: Happywhale - Humpback whale in Arctic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/etn474
title: Happywhale - Fin whale in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/fhttbd
title: Happywhale - Leopard seal in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/fs2qdu
title: Happywhale - Fin whale in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/v6r8s9
title: Happywhale - Humpback whale in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/pg4rxy
title: Happywhale - Blue whale in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/7c2dqf
title: Happywhale - Humpback whale in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/rfb6ep
title: Happywhale - Bowhead in Arctic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/hd8xfd
title: Happywhale - Southern right whale in Southern Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/9mzc4z
title: Happywhale - Indian humpback dolphin in Indian Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/ddva2k
title: Happywhale - Blue whale in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/pec73q
title: Happywhale - Leopard seal in Southern Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/5khrjp
title: Happywhale - Weddell seal in Southern Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/uvxcza
title: Happywhale - Leopard seal in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/3way5y
title: Happywhale - Bryde's whale in North Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/ge8cub
title: Northern elephant seals post-breeding 2018 (aggregated per 1-degree cell)

description: Original provider:
Dan Costa

Dataset credits:
Data provider
Costa Lab Mammals
Originating data center
&lt;a href='http://www.seaturtle.org/tracking/' target='_blank'&gt;Satellite Tracking and Analysis Tool (STAT)&lt;/a&gt;

Abstract:
Satellite tracking of northern elephant seals from Ano Nuevo Reserve. We deploy a variety of instruments on seals to study their at-sea behavior and the oceanography of the northeast Pacific.
 This dataset is a summarized representation of the telemetry locations aggregated per species per 1-degree cell.
DOI: 10.15468/tqcybs
title: Happywhale - Blue whale in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/vggvp2
title: Happywhale - Indian humpback dolphin in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/bkgfmm
title: Happywhale - Long-finned pilot whale in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/xhfm33
title: Happywhale - Humpback whale in North Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/8hrtu3
title: UNCW PAX Aerial Survey - Left side - 2016

description: Original provider:
University of North Carolina, Wilmington

Dataset credits:
William A. McLellan, University of North Carolina Wilmington
DOI: 10.15468/y5qjuc
title: Happywhale - Bryde's whale in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/bzfgem
title: Olive ridley sea turtle tracking near Ghana 2009

description: Original provider:
Phil Allman, Florida Gulf Coast University

Dataset credits:
Phil Allman, Florida Gulf Coast University

Abstract:
Marine turtles have complex life cycles that include long-distance movements across coastal and pelagic habitats to access juvenile nurseries, foraging grounds, and eventually breeding grounds. Understanding these movement patterns is important for knowing habitat requirements and potential mortality risks for populations on a local, regional, and global scale. This knowledge is critically needed to inform resource managers and adopt best management practices for all populations. Although we are starting to understand the migration patterns for some species, there is a paucity of information regarding movement patterns of sea turtles that utilize nesting grounds in West Africa. We installed satellite tags on four female olive ridley sea turtles near the end of nesting season in Ghana. The purpose of this study was to determine their movement away from the nesting grounds. Two individuals remained in coastal waters within the Gulf of Guinea, whereas two individuals swam southerly and entered pelagic habitats of the eastern Atlantic Ocean. Even with the small sample size, these data suggest individuals disperse to different habitats near the end of nesting season.
DOI: 10.15468/6f2y4w
title: Happywhale - Humpback whale in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/964uba
title: Happywhale - Bryde's whale in South Pacific Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.15468/zqyq7j
title: Happywhale - Chinstrap penguin in Southern Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.5281/zenodo.17317992
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.5281/zenodo.17317993
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.15156/bio/sh0159927.10fu
title: SH0159927.10FU

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.2uq2wz
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens gardneriana",
 "GadmGid is IND"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000987-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0159928.10fu
title: SH0159928.10FU

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/sh0159929.10fu
title: SH0159929.10FU

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/sh0159930.10fu
title: SH0159930.10FU

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.15630689
title: ReCHAR database - spatial distribution of relict charcoal hearths across Poland

description: This dataset comprises shapefile layers of relict charcoal hearths (RCHs) in Poland, manually identified using high-resolution LiDAR data. It contains two vector layers:



location_RCH – a point layer representing the locations of 634,815 identified RCHs, without additional attributes.

relict_charcoal_hearths – a point layer containing detailed attribute information for each RCH point, including:



SIZE: estimated size of the hearth (in meters),

LATITUDE – geographical latitude (in decimal degrees),

LONGITUDE – geographical longitude (in decimal degrees),

CLC2018: land cover class based on the CORINE Land Cover 2018 dataset, level 3,

VEG_POT: potential natural vegetation type,

SOIL_WRB: soil classification based on the World Reference Base for Soil Resources,

SOIL_FAO85: soil classification based on the FAO85 system,

ALTITUDE: elevation above sea level (in meters),

SLOPE_DEG: slope (in degrees),

NEAR_CHAR: distance to the nearest other RCH (in meters),

NEAR_WATER: distance to the nearest water body (in meters),

WATER_TYPE: type of the nearest water body (only lakes and rivers).




 Sources of attributes:

 CORINE land cover 2018



European Environment Agency (EEA). (2020). CORINE Land Cover 2018 (version 2020_20u1) [Data set]. Copernicus Land Monitoring Service. https://doi.org/10.2909/71c95a07-e296-44fc-b22b-415f42acfdf0


Potential natural vegetation for Poland



Matuszkiewicz, W., Faliński, J. B., Kostrowicki, A. S., Matuszkiewicz, J. M., Olaczek, R., & Wojterski, T. (1995). Potential natural vegetation of Poland. General map 1:300,000. Institute of Geography and Spatial Organization, Polish Academy of Sciences.

Matuszkiewicz J.M., Wolski J. (2023). Potential natural vegetation of Poland (vector version), IGiPZ PAN, Warszawa 


 Soil types



Panagos, P., Van Liedekerke, M., Borrelli, P., Köninger, J., Ballabio, C., Orgiazzi, A., Lugato, E., Liakos, L., Hervas, J., Jones, A., & Montanarella, L. (2022). European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies. European Journal of Soil Science, 73(6), e13315. https://doi.org/10.1111/ejss.13315 

Panagos, P. (2006). The European soil database. GEO:connexion, 5(7), 32–33.

Van Liedekerke, M., Jones, A., & Panagos, P. (2006). ESDBv2 Raster Library [Data set]. Derived from the European Soil Database distribution v2.0. European Commission & European Soil Bureau Network (EUR 19945 EN, CD-ROM).


Water bodies



Hydrographic Map of Poland at a scale of 1:10 000 (MPHP10)


Digital Elevation Model (DEM)



European Space Agency (2024). Copernicus Global Digital Elevation Model. Distributed by OpenTopography. https://doi.org/10.5069/G9028PQB.
DOI: 10.5281/zenodo.15630690
title: ReCHAR database - spatial distribution of relict charcoal hearths across Poland

description: This dataset comprises shapefile layers of relict charcoal hearths (RCHs) in Poland, manually identified using high-resolution LiDAR data. It contains two vector layers:



location_RCH – a point layer representing the locations of 634,815 identified RCHs, without additional attributes.

relict_charcoal_hearths – a point layer containing detailed attribute information for each RCH point, including:



SIZE: estimated size of the hearth (in meters),

LATITUDE – geographical latitude (in decimal degrees),

LONGITUDE – geographical longitude (in decimal degrees),

CLC2018: land cover class based on the CORINE Land Cover 2018 dataset, level 3,

VEG_POT: potential natural vegetation type,

SOIL_WRB: soil classification based on the World Reference Base for Soil Resources,

SOIL_FAO85: soil classification based on the FAO85 system,

ALTITUDE: elevation above sea level (in meters),

SLOPE_DEG: slope (in degrees),

NEAR_CHAR: distance to the nearest other RCH (in meters),

NEAR_WATER: distance to the nearest water body (in meters),

WATER_TYPE: type of the nearest water body (only lakes and rivers).




 Sources of attributes:

 CORINE land cover 2018



European Environment Agency (EEA). (2020). CORINE Land Cover 2018 (version 2020_20u1) [Data set]. Copernicus Land Monitoring Service. https://doi.org/10.2909/71c95a07-e296-44fc-b22b-415f42acfdf0


Potential natural vegetation for Poland



Matuszkiewicz, W., Faliński, J. B., Kostrowicki, A. S., Matuszkiewicz, J. M., Olaczek, R., & Wojterski, T. (1995). Potential natural vegetation of Poland. General map 1:300,000. Institute of Geography and Spatial Organization, Polish Academy of Sciences.

Matuszkiewicz J.M., Wolski J. (2023). Potential natural vegetation of Poland (vector version), IGiPZ PAN, Warszawa 


 Soil types



Panagos, P., Van Liedekerke, M., Borrelli, P., Köninger, J., Ballabio, C., Orgiazzi, A., Lugato, E., Liakos, L., Hervas, J., Jones, A., & Montanarella, L. (2022). European Soil Data Centre 2.0: Soil data and knowledge in support of the EU policies. European Journal of Soil Science, 73(6), e13315. https://doi.org/10.1111/ejss.13315 

Panagos, P. (2006). The European soil database. GEO:connexion, 5(7), 32–33.

Van Liedekerke, M., Jones, A., & Panagos, P. (2006). ESDBv2 Raster Library [Data set]. Derived from the European Soil Database distribution v2.0. European Commission & European Soil Bureau Network (EUR 19945 EN, CD-ROM).


Water bodies



Hydrographic Map of Poland at a scale of 1:10 000 (MPHP10)


Digital Elevation Model (DEM)



European Space Agency (2024). Copernicus Global Digital Elevation Model. Distributed by OpenTopography. https://doi.org/10.5069/G9028PQB.
DOI: 10.15156/bio/sh0159931.10fu
title: SH0159931.10FU

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/sh0159932.10fu
title: SH0159932.10FU

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.