cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.937747
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) - Wadden Sea off List, Sylt, North Sea in 2019

description: In order to monitor long-term variability in or eventual change of the planktonic community a semiquantitative analysis of microplankton based on net sampling is ongoing since 1987 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. The sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column. These long-term data allow to quantify realized niches of frequently occurring micro-plankton species and to pinpoint rarely occurring species which cannot be detected in the quantitative plankton analysis.
description: 0 = not present / 1 = present
DOI: 10.7910/dvn/x56bql
title: Nigerian Defence Academy Kaduna 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.

description: Nigerian Defence Academy Kaduna 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.
description: Nigerian Defence Academy Kaduna 2025/2026 Admission List Is Out Now Call Admin Office Call 08142094711, (08142094711) To Check And Further Admission Assistance Call +2348142094711.
DOI: 10.1594/pangaea.937742
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) - Wadden Sea off List, Sylt, North Sea in 2017

description: In order to monitor long-term variability in or eventual change of the planktonic community a semiquantitative analysis of microplankton based on net sampling is ongoing since 1987 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. The sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column. These long-term data allow to quantify realized niches of frequently occurring micro-plankton species and to pinpoint rarely occurring species which cannot be detected in the quantitative plankton analysis.
description: 0 = not present / 1 = present
DOI: 10.1594/pangaea.860410
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) in the Wadden Sea off List, Sylt, North Sea in 2003

description: 0 = not present / 1 = present
DOI: 10.1594/pangaea.945637
title: Sylt Roads Meroplankton time series at List, Ferry Terminal station in 2015

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.1594/pangaea.890009
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station Ferry Terminal (55.01553 N; 8.4399 E), Sylt Rømø bight, North Sea in 2010
DOI: 10.1594/pangaea.890024
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2015
DOI: 10.1594/pangaea.890023
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station Ferry Terminal (55.01553 N; 8.4399 E), Sylt Rømø bight, North Sea in 2015
DOI: 10.1594/pangaea.945632
title: Sylt Roads Meroplankton time series at List, Ferry Terminal station in 2011

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.1594/pangaea.889867
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station Ferry Terminal (55.01553 N; 8.4399 E), Sylt Rømø bight, North Sea in 2007
DOI: 10.1594/pangaea.889898
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station entrance Koenigshafen (55.0383 N, 8.4383 E), Sylt Rømø bight, North Sea in 2005
DOI: 10.1594/pangaea.890006
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2008
DOI: 10.1594/pangaea.890013
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2011
DOI: 10.1594/pangaea.889893
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station entrance Koenigshafen (55.0383 N, 8.4383 E), Sylt Rømø bight, North Sea in 2015
DOI: 10.1594/pangaea.945635
title: Sylt Roads Meroplankton time series at List, Ferry Terminal station in 2014

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.1594/pangaea.945633
title: Sylt Roads Meroplankton time series at List, Ferry Terminal station in 2012

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.1594/pangaea.861300
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) in the Wadden Sea off List, Sylt, North Sea in 1991

description: 0 = not present / 1 = present
DOI: 10.15468/dl.ngheyb
title: Occurrence Download

description: A dataset containing 998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((172.95447 -41.6024,179.18894 -41.6024,179.18894 -35.04613,172.95447 -35.04613,172.95447 -41.6024))",
 "HasCoordinate is true",
 "TaxonKey is Celmisia gracilenta"
 ]
}

 The dataset includes 998 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031985-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.889993
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2002
DOI: 10.1594/pangaea.937744
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) - Wadden Sea off List, Sylt, North Sea in 2018

description: In order to monitor long-term variability in or eventual change of the planktonic community a semiquantitative analysis of microplankton based on net sampling is ongoing since 1987 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. The sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column. These long-term data allow to quantify realized niches of frequently occurring micro-plankton species and to pinpoint rarely occurring species which cannot be detected in the quantitative plankton analysis.
description: 0 = not present / 1 = present
DOI: 10.1594/pangaea.889998
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station entrance Koenigshafen (55.0383 N, 8.4383 E), Sylt Rømø bight, North Sea in 2004
DOI: 10.1594/pangaea.937748
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) - Wadden Sea off List, Sylt, North Sea in 2020

description: In order to monitor long-term variability in or eventual change of the planktonic community a semiquantitative analysis of microplankton based on net sampling is ongoing since 1987 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. The sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column. These long-term data allow to quantify realized niches of frequently occurring micro-plankton species and to pinpoint rarely occurring species which cannot be detected in the quantitative plankton analysis.
description: 0 = not present / 1 = present
DOI: 10.1594/pangaea.889876
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station Ferry Terminal (55.01553 N; 8.4399 E), Sylt Rømø bight, North Sea in 2016
DOI: 10.1594/pangaea.890003
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2007
DOI: 10.1594/pangaea.890008
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2009
DOI: 10.1594/pangaea.929583
title: Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2020

description: The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the AWIPEV underwater observatory from the year 2020 in a temporal resolution of 1 hour. The cabled observatory is located in 12m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-spitsbergen.html). For a detailed description of the data see associated metadatafile "Metadata_description_svluwobs_data_2020.pdf"
DOI: 10.1594/pangaea.876427
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) in the Wadden Sea off List, Sylt, North Sea in 2016

description: 0 = not present / 1 = present
DOI: 10.1594/pangaea.890019
title: Phosphorus compounds (SRP, DOP, TDP, PIP, POP, TPP) at Sylt Roads, Station List Reede (55.03 N, 8.46 E), Sylt Rømø bight, North Sea in 2013
DOI: 10.1594/pangaea.972376
title: Semi-quantitative microplankton analysis (Sylt Roads Time Series) - Wadden Sea off List, Sylt, North Sea in 2021

description: In order to monitor long-term variability in or eventual change of the planktonic community a semiquantitative analysis of microplankton based on net sampling is ongoing since 1987 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. The sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column. These long-term data allow to quantify realized niches of frequently occurring micro-plankton species and to pinpoint rarely occurring species which cannot be detected in the quantitative plankton analysis.
description: 0 = not present / 1 = present
DOI: 10.1594/pangaea.945636
title: Sylt Roads Meroplankton time series at List, station 1 in 2014

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.1594/pangaea.945638
title: Sylt Roads Meroplankton time series at List, station 1 in 2015

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.1594/pangaea.945644
title: Sylt Roads Meroplankton time series at List, station 1 in 2018

description: In order to monitor long-term variability in or eventual change of the planktonic community a quantitative analysis of meroplankton is ongoing since 1996 in the Sylt-Rømø Bight, a region of high ecological importance within the Marine Protect Area National Park Schleswig Holsteinisches Wattenmeer. Since 2014 the sampling is tightly linked to the LTER Sylt Roads time series thus enabling the coupling of species occurrence to the respective hydrochemical and physical conditions in the water column.
DOI: 10.15156/bio/sh0192127.10fu
title: SH0192127.10FU

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/sh0192128.10fu
title: SH0192128.10FU

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/sh0192129.10fu
title: SH0192129.10FU

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/sh0192130.10fu
title: SH0192130.10FU

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/sh0192131.10fu
title: SH0192131.10FU

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/sh0192132.10fu
title: SH0192132.10FU

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/sh0192133.10fu
title: SH0192133.10FU

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/sh0192134.10fu
title: SH0192134.10FU

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/sh0192135.10fu
title: SH0192135.10FU

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.