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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.

S199301900

A dataset containing 12446 species occurrences available in GBIF matching the query: { "TaxonKey" : [ "is Krameria Loefl." ] } The dataset includes 12446 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045552-191105090559680/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.

Strain json file

Monitor impurity behaviors, and also supply signals to ECH power control system during long pulse discharge, by using 20 cm normal & grazing incidence monochromators with SEM and others.

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.

Magnetic measurements for estimating global parameters and for magnetohydrodynamic (MHD) study to introduce diamagnetic flux measurement and MHD mode analysis. Various types of magnetic sensors are used; Rogowski coils and magnetic probes inside and ourside the LHD vacuum vessel.

A dataset containing 2164 species occurrences available in GBIF matching the query: { "and" : [ "TaxonKey is Fungi", "DecimalLatitude is greater than 38.8858210692283", "DecimalLatitude is less than 40.1181991466803", "DecimalLongitude is greater than -75.927759423204", "DecimalLongitude is less than -75.1766552099578" ] } The dataset includes 2164 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006196-180824113759888/datasets/export for details. Data from some individual datasets included in this download may be licensed under less restrictive terms.