cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xd5s6g
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-34.42806 30.30628,-6.01853 30.30628,-6.01853 45.89093,-34.42806 45.89093,-34.42806 30.30628))",
 "TaxonKey is Oneirodes eschrichtii Lütken, 1871"
 ]
}

 The dataset includes 17 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027900-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.294ztx
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxicolella nana Engl."
 ]
}

 The dataset includes 20 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027901-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfhqm4
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Geometry POLYGON((-74.29647 78.38318,-74.29647 75.32335,-70.66293 74.17591,-58.04113 71.88104,-56.12874 63.27527,-44.65438 57.15561,-29.92895 65.76138,-16.73344 70.92484,-7.93643 77.23574,-7.93643 85.07655,-56.70246 84.31159,-74.29647 78.38318))",
 "MediaType is Image",
 "TaxonKey is Dryas L."
 ]
}

 The dataset includes 141 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027903-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5aatfd
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Soroseris depressa (Hook.fil. & Thomson) J.W.Zhang, N.Kilian & H.Sun)"
 ]
}

 The dataset includes 26 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027904-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj5weg
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Saxicolella submersa (J.B.Hall) C.D.K.Cook & Rutish."
 ]
}

 The dataset includes 17 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027906-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14184935
title: Hybrid dielectrophoretic-optical trap for microparticles in aqueous suspension

description: Dataset of the manuscript "Hybrid dielectrophoretic-optical trap for microparticles in aqueous suspension".
DOI: 10.5281/zenodo.14184936
title: Hybrid dielectrophoretic-optical trap for microparticles in aqueous suspension

description: Dataset of the manuscript "Hybrid dielectrophoretic-optical trap for microparticles in aqueous suspension".
DOI: 10.15468/dl.m4shrb
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Soroseris glomerata (Decne.) Stebbins)"
 ]
}

 The dataset includes 124 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027908-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcqnxc
title: Occurrence Download

description: A dataset containing 77 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaerothylax abyssinica (Wedd.) Warm."
 ]
}

 The dataset includes 77 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027909-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hz73hk
title: Occurrence Download

description: A dataset listing the 22405 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is one of (Sweden, Finland, Norway, Åland Islands)",
 {
 "or" : [
 "Geometry POLYGON((4 56,31 56,31 72,4 72,4 56))",
 "Geometry POLYGON((4 56,31 56,31 75,4 75,4 56))"
 ]
 },
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset's 22405 records were derived from 525 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027852-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14203168
title: Redistribution of the map of the water surfaces of the Flemish Region (status 2024)

description: This is a redistribution of the dataset 'Watervlakken - versie 2024’ (Water surfaces - edition 2024), originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. More specifically, this Zenodo record redistributes the GeoPackage file from the original data source, in order to support reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.

The digital map of standing water surfaces (edition 2024) is a georeferenced digital file of standing surface waters in Flanders (northern Belgium). The file contains 93 201 polygons with an area between 1.45 m² and 2.47 km² and can be considered as the most complete and accurate representation of lentic water bodies presently available for the Flemish territory. The map is based on topographic map layers, orthophoto images, the Digital Terrain Model of Flanders version II, results of a water prediction model and, to a lesser extent, field observations. It can be used for a wide range of applications in research, policy preparation and policy implementation, management planning and evaluation that consider the distribution and characteristics of stagnant water bodies. The map is also relevant internationally, including updates for the National Wetland Inventories (Ramsar). Furthermore, its unique reference to each object will considerably facilitate related data management.

For this new edition of Watervlakken (2024), the orthophoto images of 2021, 2022 and 2023 and the digital terrain model of Flanders have been used. This edition also uses the results of an AI prediction model for water developed by VITO. Data from various Regional Landscapes, ad hoc user reports and field observations have been used to digitise additional polygons, make shape corrections or remove filled ponds from the map layer. For a number of water surfaces, new data on the Flemish type according to the European Water Framework Directive (WFD type), water depth and connectivity have been added to the attribute table.

The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Informatie Vlaanderen'.
DOI: 10.5281/zenodo.3386857
title: Redistribution of the map of the water surfaces of the Flemish Region (status 2024)

description: This is a redistribution of the dataset 'Watervlakken - versie 2024’ (Water surfaces - edition 2024), originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. More specifically, this Zenodo record redistributes the GeoPackage file from the original data source, in order to support reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes.

The digital map of standing water surfaces (edition 2024) is a georeferenced digital file of standing surface waters in Flanders (northern Belgium). The file contains 93 201 polygons with an area between 1.45 m² and 2.47 km² and can be considered as the most complete and accurate representation of lentic water bodies presently available for the Flemish territory. The map is based on topographic map layers, orthophoto images, the Digital Terrain Model of Flanders version II, results of a water prediction model and, to a lesser extent, field observations. It can be used for a wide range of applications in research, policy preparation and policy implementation, management planning and evaluation that consider the distribution and characteristics of stagnant water bodies. The map is also relevant internationally, including updates for the National Wetland Inventories (Ramsar). Furthermore, its unique reference to each object will considerably facilitate related data management.

For this new edition of Watervlakken (2024), the orthophoto images of 2021, 2022 and 2023 and the digital terrain model of Flanders have been used. This edition also uses the results of an AI prediction model for water developed by VITO. Data from various Regional Landscapes, ad hoc user reports and field observations have been used to digitise additional polygons, make shape corrections or remove filled ponds from the map layer. For a number of water surfaces, new data on the Flemish type according to the European Water Framework Directive (WFD type), water depth and connectivity have been added to the attribute table.

The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Informatie Vlaanderen'.
DOI: 10.5281/zenodo.4117543
title: Redistribution of the map of the water surfaces of the Flemish Region (status 2020-01-01)

description: This is a redistribution of the dataset 'Watervlakken - versie 1.1’ (Water surfaces - version 1.1), originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. More specifically, this Zenodo record redistributes the GeoPackage file from the original data source, in order to support reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes. The digital map of standing water surfaces (version 1.1) is a georeferenced digital file of standing surface waters in Flanders (Flemish region). The file, built by combining existing topographic map layers, ortho-photos, a detailed digital terrain model of Flanders (version 2) and limited field work, comprises 88 713 polygons with sizes ranging from 1.5 square metres to 2.5 square kilometres and can be considered the most complete representation of standing surface waters currently available for the Flemish region. It can be used for a wide range of applications in research, policy preparation and implementation in which knowledge about the distribution and characteristics of standing waters is important. Also, this data source provides a unique reference base for further data management regarding these water bodies. For this new version of the dataset, ortho-photos of 2018 and 2019 were used. 1261 UTM grid cells, representing 31.5% of the Flemish region, were systematically revised. Also ad-hoc notifications of land owners and managers, complemented with own field observations were used to add new and remove filled-up water surfaces, as well as to revise contours of existing ones. For some occurrences attributes regarding water depth and connectivity were added. The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Informatie Vlaanderen'.
description: {"references": ["Leyssen A., Scheers K., Smeekens V., Wils C., Packet J., De Knijf G. & Denys L. (2020). Watervlakken versie 1.1: polygonenkaart van stilstaand water in Vlaanderen. Uitgave 2020. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2020 (40). Instituut voor Natuur- en Bosonderzoek, Brussel. DOI: doi.org/10.21436/inbor.19088385"]}
DOI: 10.5281/zenodo.7440931
title: Redistribution of the map of the water surfaces of the Flemish Region (status 2022)

description: This is a redistribution of the dataset 'Watervlakken - versie 1.2’ (Water surfaces - version 1.2), originally published by the Research Institute for Nature and Forest (INBO) and distributed by 'Informatie Vlaanderen' under a CC-BY compatible license. More specifically, this Zenodo record redistributes the GeoPackage file from the original data source, in order to support reproducible, analytical workflows on Flemish Natura 2000 habitats and regionally important biotopes. The digital map of standing water surfaces (version 1.2) is a georeferenced digital file of standing surface waters in Flanders (Flemish region). The file, built by combining existing topographic map layers, ortho-photos, a detailed digital terrain model of Flanders (version 2) and limited field work, comprises 93 135 polygons with sizes ranging from 1.45 square metres to 2.47 square kilometres and can be considered the most complete representation of standing surface waters currently available for the Flemish region. It can be used for a wide range of applications in research, policy preparation and implementation in which knowledge about the distribution and characteristics of standing waters is important. Also, this data source provides a unique reference base for further data management regarding these water bodies. For this new version of the dataset, ortho-photos of 2019, 2020 and 2021 were used. 843 UTM grid cells (2 x 2 km), representing 23 % of the Flemish region, were systematically revised. Also ad-hoc notifications of land owners and managers, complemented with own field observations were used to add new and remove filled-up water surfaces, as well as to revise contours of existing ones. For some occurrences attributes regarding water depth and connectivity were added. The data source is produced, owned and administered by the Research Institute for Nature and Forest (INBO, Department of Environment of the Flemish government).
description: This is a redistribution of data originally published by 'Informatie Vlaanderen'.
description: {"references": ["Scheers K., Smeekens V., Wils C., Packet J., Leyssen A. & Denys L. (2022). Watervlakken versie 1.2: Polygonenkaart van stilstaand water in Vlaanderen. Uitgave 2022. Rapporten van het Instituut voor Natuur- en Bosonderzoek 2022 (31). Instituut voor Natuur- en Bosonderzoek, Brussel. DOI: doi.org/10.21436/inbor.87014272"]}
DOI: 10.15468/dl.5q9gva
title: Occurrence Download

description: A dataset listing the 34 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Faunal Inventory of Morysin Nature Reserve"
 ]
}

 The dataset's 34 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027867-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sqwx6
title: Occurrence Download

description: A dataset containing 1426 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sholicola major (Jerdon, 1841)"
 ]
}

 The dataset includes 1426 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027910-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.au9s87
title: Occurrence Download

description: A dataset containing 606 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Soroseris hookeriana (C.B.Clarke) Stebbins)"
 ]
}

 The dataset includes 606 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027911-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtbn8k
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sphaerothylax algiformis Bisch. ex Krauss"
 ]
}

 The dataset includes 79 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027912-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h89gc6
title: Occurrence Download

description: A dataset containing 1098 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Afzelia bella Harms"
 ]
}

 The dataset includes 1098 records from 57 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027913-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxupye
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Soroseris pumila Stebbins)"
 ]
}

 The dataset includes 50 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027914-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fbrk9k
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stonesia fascicularis G.Taylor"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027915-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rgbayv
title: Occurrence Download

description: A dataset containing 1262 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eurycoma longifolia Jack"
 ]
}

 The dataset includes 1262 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027916-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x9y6jh
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is one of (Soroseris teres C.Shih)"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027917-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k5qsda
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stonesia gracilis G.Taylor"
 ]
}

 The dataset includes 19 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027918-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0201610.10fu
title: SH0201610.10FU

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/sh0201611.10fu
title: SH0201611.10FU

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/sh0201612.10fu
title: SH0201612.10FU

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.