cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0168178.10fu
title: SH0168178.10FU

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/sh0168179.10fu
title: SH0168179.10FU

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/sh0168180.10fu
title: SH0168180.10FU

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/sh0168181.10fu
title: SH0168181.10FU

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/sh0168182.10fu
title: SH0168182.10FU

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/sh0168183.10fu
title: SH0168183.10FU

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/sh0168184.10fu
title: SH0168184.10FU

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/sh0168185.10fu
title: SH0168185.10FU

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/sh0168186.10fu
title: SH0168186.10FU

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.wj99hx
title: Occurrence Download

description: A dataset containing 1243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus sciocharis (Sudre) W.C.R.Watson",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1243 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0290357-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7796/indepth.et061.cmd2014.v1
title: Arba Minch HDSS INDEPTH Core Dataset 2010-2014 (Release 2017)
DOI: 10.7796/indepth.gh011.cmd2014.v1
title: Navrongo Health Reseah Centre INDEPTH Core Dataset 1993-2014 (Release 2017)
DOI: 10.15468/dl.uffg26
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhamnus pichleri C.K.Schneid. & Bornm. ex Bornm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291553-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7796/indepth.gh021.cdm2014.v1
title: Kintampo Health Research Centre INDEPTH Core Dataset 2006-2014 (Release 2017)
DOI: 10.7796/indepth.gm011.cmd2014.v1
title: Farafenni INDEPTH Core Dataset 1982-2014 (Release 2017)
DOI: 10.7796/indepth.in021.cmd2015.v1
title: Vadu HDSS INDEPTH Core Dataset 2009-2015 (Release 2017)
DOI: 10.7796/indepth.ke011.cmd2013.v1
title: Kilifi HDSS INDEPTH Core Dataset 2002-2013 (Release 2017)
DOI: 10.7796/indepth.ke031.cmd2014.v1
title: Nairobi HDSS INDEPTH Core Dataset 2003-2014 (Release 2017)
DOI: 10.7796/indepth.mw011.cmd2015.v1
title: Karonga HDSS INDEPTH Core Dataset 2003-2015 (Release 2017)
DOI: 10.7796/indepth.mz021.cmd2014.v1
title: Chokwe Health Research and Training Centre INDEPTH Core Dataset 2010-2014 (Release 2017)
DOI: 10.15468/dl.wtkzdx
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Viola jooi Janka",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0285717-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7796/indepth.sn011.cmd2014.v1
title: Bandafassi HDSS INDEPTH Core Dataset 1970-2014 (Release 2017)
DOI: 10.15468/dl.wsad3y
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedicularis petiolaris Ten.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297690-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.trf6rc
title: Occurrence Download

description: A dataset containing 11646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rosa sempervirens L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 11646 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261021-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26073541
title: Hanalei Bay GSSHA (WMS Software) Files for Compound Flood Modeling

description: This zipped file contains the files for a GSSHA model run through WMS Software. It is a flood model of Hanalei, Kauai. This research contributes to my MS degree in the Earth Science Department at the University of Hawaii. The goal of this model is to understand compound flooding from extreme rainfall and sea level rise. Within the files you will find the two tiers used to create an inset model within each numbered gage height. You can also find the rain and stream gage data used for each stream gage height flood map.
DOI: 10.25625/ya0mnq/erm0nk
title: script4_11delays_1024_px_reco.py

description: :unav
DOI: 10.15468/dl.wrbwwc
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rubus apiculatus Weihe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 41 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0181067-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7796/indepth.sn012.cmd2014.v1
title: Mlomp HDSS INDEPTH Core Dataset 1985-2014 (Release 2017)
DOI: 10.15468/dl.vdvme5
title: Occurrence Download

description: A dataset containing 700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juncus fontanesii Gay",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 700 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0301478-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7796/indepth.sn013.cmd2014.v1
title: Niakhar HDSS INDEPTH Core Dataset 1984-2014 (Release 2017)
DOI: 10.7796/indepth.tz011.cmd2014.v1
title: Ifakara Rural INDEPTH Core Dataset 1997-2014 (Release 2017)
DOI: 10.7796/indepth.tz012.cmd2014.v1
title: Rufiji HDSS INDEPTH Core Dataset 1999-2014 (Release 2017)
DOI: 10.7796/indepth.za011.cmd2015.v2
title: Agincourt INDEPTH Core Dataset 1993-2015 (Release 2017)
DOI: 10.7796/indepth.za021.cmd2014.v1
title: Dikgale HDSS INDEPTH Core Datase 1996-2014 (Release 2017)
DOI: 10.7796/indepth.za031.cmd2015.v1
title: Africa Health Research Institute INDEPTH Core Dataset 2000-2015 (Residents only) - Release 2017
DOI: 10.15468/dl.ttay6j
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Astragalus nummularius Lam.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288766-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8z2va
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex cretica Gradst. & J.Kern",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291531-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vg2yyj
title: Occurrence Download

description: A dataset containing 6376 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Serapias cordigera L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6376 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288715-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21249/dzhw:cmp2014:1.0.0
title: KomPaed 2014 - Tätigkeitsbezogene Kompetenzen in pädagogischen Handlungsfeldern (quantitative Teilstudie)
title: KomPaed 2014 - Task-related competencies in fields of educational activities (quantitative sub-study)

description: Das Projekt „KomPaed - Tätigkeitsbezogene Kompetenzen in pädagogischen Handlungfeldern“ ist ein Verbundprojekt der BMBF-Förderinitiative „Kompetenzmodellierung und Kompetenzerfassung im Hochschulsektor“ (KoKoHs) und umfasst eine quantitative und eine qualitative Teilstudie.
Die hier vorliegende quantitative Teilstudie untersucht zunächst bei Studierenden erziehungswissenschaftlicher Studiengänge die Identifizierung generischer Kompetenzen, die für erfolgreiches berufliches Handeln von Hochschulabsolvent(inn)en in Verbindung mit Fachwissen und fachlichen Kompetenzen erforderlich sind. In KomPaed werden dazu die zuletzt aktiven Panelteilnehmer(innen) der DZHW-Absolventenpanels 2001, 2005 und 2009 in einer Online-Vertiefungsbefragung befragt.
description: The project "KomPaed - Task-related competencies in fields of educational activities" is a joint project of the BMBF funding initiative "Competence modelling and competence recording in the higher education sector" (KoKoHs) and comprises a quantitative and a qualitative sub-study.
The present quantitative sub-study first examines the identification of generic competences among students of educational science degree programmes that are necessary for the successful professional activities of university graduates in conjunction with specialist knowledge and subject-specific competences. In KomPaed, the last active panel participants of the DZHW graduate panels 2001, 2005 and 2009 will be interviewed in an online in-depth survey.
description: Self-administered questionnaire: Web-based
description: KomPaed 2014 - Tätigkeitsbezogene Kompetenzen in pädagogischen Handlungsfeldern: Standardisierte Onlinebefragung
description: KomPaed 2014 - Task-Related Competencies in Fields of Educational Activities: Standardised online survey
description: <strong>KomPaed 2014 - Tätigkeitsbezogene Kompetenzen in pädagogischen Handlungsfeldern:</strong>
 Zuletzt aktive Panelteilnehmer(innen) der DZHW-Absolventenpanels 2001, 2005 und 2009
description: <strong>KomPaed 2014 - Task-Related Competencies in Fields of Educational Activities:</strong>
 Last active panel participants of the DZHW Graduate Panel 2001, 2005 and 2009
description: Vollerhebung
DOI: 10.15468/dl.ww8hqj
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Senecio fontanicola Grulich & Hodálová",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 91 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0288785-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.v5drab
title: Occurrence Download

description: A dataset containing 8995 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Helleborus niger L.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8995 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262251-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wm6b8k
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ornithogalum montanum Cirillo",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 531 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0298225-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sz82dv
title: Occurrence Download

description: A dataset containing 8467 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Polypogon maritimus Willd.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8467 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293698-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wk4eq6
title: Occurrence Download

description: A dataset containing 510 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pedicularis schizocalyx (Lange) Steininger",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 510 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0297664-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se55p2
title: Occurrence Download

description: A dataset containing 17613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galeopsis angustifolia Ehrh. ex Hoffm.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 17613 records from 233 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261121-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.