cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25654/ifbq-bq22:kermit:7/2017
title: KERMIT 7, Schuljahr 2017/18

description: Unter dem Motto „Kompetenzen ermitteln“ – KERMIT – führen alle Hamburger Grundschulen, Stadtteilschulen und Gymnasien seit dem Schuljahr 2012/13 standardisierte Tests durch.
Mit KERMIT wird festgestellt, inwieweit die schulischen Leistungen der Schülerinnen und Schüler den Anforderungen der nationalen Bildungsstandards und der Hamburger Bildungspläne entsprechen. Die Testergebnisse informieren die Lehrkräfte über fachbezogene Stärken und Schwächen ihrer Lerngruppen.
KERMIT 7 hat im Schuljahr 2017/18 in den folgenden Domänen stattgefunden: Deutsch-Leseverstehen, Deutsch-Rechtschreibung, Mathematik, Englisch-Hörverstehen, Englisch-Leseverstehen und Naturwissenschaften.
description: Educational measurements and tests
description: unter Aufsicht von Testleitungen selbstständig ausgefüllte Leistungstests (Papier und Bleistift)
description: Schülerinnen und Schüler der siebten Jahrgangsstufe des Schuljahres 2017/18 in Hamburg
description: Vollerhebung
DOI: 10.25654/ifbq-bq22:kermit:5/2018
title: KERMIT 5, Schuljahr 2018/19

description: Unter dem Motto „Kompetenzen ermitteln“ – KERMIT – führen alle Hamburger Grundschulen, Stadtteilschulen und Gymnasien seit dem Schuljahr 2012/13 standardisierte Tests durch.
Mit KERMIT wird festgestellt, inwieweit die schulischen Leistungen der Schülerinnen und Schüler den Anforderungen der nationalen Bildungsstandards und der Hamburger Bildungspläne entsprechen. Die Testergebnisse informieren die Lehrkräfte über fachbezogene Stärken und Schwächen ihrer Lerngruppen.
KERMIT 5 hat im Schuljahr 2018/19 in den folgenden Domänen stattgefunden: Deutsch-Leseverstehen, Deutsch-Rechtschreibung, Mathematik, Englisch-Hörverstehen und Naturwissenschaften.
description: Educational measurements and tests
description: unter Aufsicht von Testleitungen selbstständig ausgefüllte Leistungstests (Papier und Bleistift)
description: Schülerinnen und Schüler der fünften Jahrgangsstufe des Schuljahres 2018/19 in Hamburg
description: Vollerhebung
DOI: 10.25654/ifbq-bq22:kermit:5/2017
title: KERMIT 5, Schuljahr 2017/18

description: Unter dem Motto „Kompetenzen ermitteln“ – KERMIT – führen alle Hamburger Grundschulen, Stadtteilschulen und Gymnasien seit dem Schuljahr 2012/13 standardisierte Tests durch.
Mit KERMIT wird festgestellt, inwieweit die schulischen Leistungen der Schülerinnen und Schüler den Anforderungen der nationalen Bildungsstandards und der Hamburger Bildungspläne entsprechen. Die Testergebnisse informieren die Lehrkräfte über fachbezogene Stärken und Schwächen ihrer Lerngruppen.
KERMIT 5 hat im Schuljahr 2017/18 in den folgenden Domänen stattgefunden: Deutsch-Leseverstehen, Deutsch-Rechtschreibung, Mathematik, Englisch-Hörverstehen und Naturwissenschaften.
description: Educational measurements and tests
description: unter Aufsicht von Testleitungen selbstständig ausgefüllte Leistungstests (Papier und Bleistift)
description: Schülerinnen und Schüler der fünften Jahrgangsstufe des Schuljahres 2017/18 in Hamburg
description: Vollerhebung
DOI: 10.15468/dl.b8hb65
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Horastrea indica Pichon, 1971"
 ]
}

 The dataset includes 41 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0345245-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.23664/ahri.surveillance.episodes.basic.hiv.201907
title: AHRI.Surveillance Episodes Basic HIV.Release 2019-07
DOI: 10.1594/pangaea.909838
title: Neodymium istotope data from sediment leach of sediment core SK221-05 from the South-East Arabian Sea
DOI: 10.1594/pangaea.902362
title: Swath sonar bathymetry during MARIA S. MERIAN cruise MSM82 with links to multibeam raw data files, EM122

description: MSM81_bathymetry_datalinks_EM122
DOI: 10.1594/pangaea.909843
title: Neodymium istotope data from planktic foraminifera shells of sediment core SK221-05 from the South-East Arabian Sea
DOI: 10.15468/dl.bhh3aw
title: Occurrence Download

description: A dataset containing 232 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteropus livingstonii Gray, 1866"
 ]
}

 The dataset includes 232 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0348092-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fufxjs
title: Occurrence Download

description: A dataset containing 407096 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is BirdMap Data - GPS tracking of Storks, Cranes and birds of prey, breeding in Northern and Eastern Europe"
 ]
}

 The dataset includes 407096 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0269351-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1594/pangaea.945873
title: Non-clay and clay mineral composition of sediment core HU90-023-22
DOI: 10.1594/pangaea.945894
title: Non-clay and clay mineral composition of sediment core HU85-027-29
DOI: 10.25654/ifbq-bq22:kermit:9/2013
title: KERMIT 9, Schuljahr 2012/13

description: Unter dem Motto „Kompetenzen ermitteln“ – KERMIT – führen alle Hamburger Grundschulen, Stadtteilschulen und Gymnasien seit dem Schuljahr 2012/13 standardisierte Tests durch.
Mit KERMIT wird festgestellt, inwieweit die schulischen Leistungen der Schülerinnen und Schüler den Anforderungen der nationalen Bildungsstandards und der Hamburger Bildungspläne entsprechen. Die Testergebnisse informieren die Lehrkräfte über fachbezogene Stärken und Schwächen ihrer Lerngruppen.
KERMIT 9 hat im Schuljahr 2012/13 in den folgenden Domänen stattgefunden: Deutsch-Leseverstehen, Mathematik, Englisch-Leseverstehen und Naturwissenschaften.
description: Educational measurements and tests
description: unter Aufsicht von Testleitungen selbstständig ausgefüllte Leistungstests (Papier und Bleistift)
description: Schülerinnen und Schüler aus der neunten Jahrgangsstufe des Schuljahres 2012/13 in Hamburg
description: Vollerhebung
DOI: 10.1594/pangaea.945895
title: Non-clay and clay mineral composition of sediment core HU97-048-7
DOI: 10.1594/pangaea.945897
title: Non-clay and clay mineral composition of sediment core HU2008029-0008
DOI: 10.1594/pangaea.945898
title: Non-clay and clay mineral composition of sediment core HU2011031-059
DOI: 10.1594/pangaea.945899
title: Non-clay and clay mineral composition of sediment core HU2013029-077
DOI: 10.1594/pangaea.945900
title: Non-clay and clay mineral composition of sediment core MD99-2227
DOI: 10.1594/pangaea.945901
title: Non-clay and clay mineral composition of sediment core MD99-2236
DOI: 10.1594/pangaea.945904
title: Non-clay and clay mineral composition of sediment core MD99-2237
DOI: 10.1594/pangaea.945905
title: Non-clay and clay mineral composition of sediment core MD99-2246
DOI: 10.1594/pangaea.945921
title: Non-clay and clay mineral compositions of numerous different bedrock and large ice-rafted clasts from around the Western North Atlantic
DOI: 10.1594/pangaea.949208
title: Optimal growth as function of Wo (Re_o=8000,A=infty)

description: The data are obtained via an in-house Matlab script (developed by Dr. Baofang Song) to compute the non-modal transient growth of disturbances in pulsatile and oscillatory pipe flows. In this study, a Newtonian fluid driven by pulsatile and oscillatory flow rate flows in a straight pipe. In pulsatile flow, there are three governing parameters: steady Reynolds number (defined by the steady flow component), pulsation amplitude (ratio of oscillatory and steady flow component) and Womersley number (dimensionless pulsation and oscillation frequency). In oscillatory flow, due to vanishment of steady flow component, oscillatory Reynolds number (defined by the oscillation flow component) and Womersley number. The Reynolds number defined by the thickness of Stokes layer is alternatively used for the oscillatory Reynolds number. The study was carried out in a manner that one governing parameter varies while other governing parameters are fixed.The data file 'TG_Wo_Reo8000.dat' shows the dependence of the maximum energy amplification on the Womersley number for the oscillatory Reynolds number of 8000.This file includes twelve columns: the first column indicates the Womersley number; the second column indicates the pulsation period; the third column indicates the optimal axial wavenumber; the fourth column indicates the optimal azimuthal wavenumber; the fifth column indicates the initial time of the optimal perturbation; the sixth column indicates the final time of the optimal perturbation; the seventh column indicates the evolution time of the optimal perturbation; the eighth column indicates the initial time of the optimal perturbation normalized by the pulsation period; the nineth column indicates the final time of the optimal perturbation normalized by the pulsation period; the tenth column indicates the evolution time of the optimal perturbation normalized by the pulsation period; the eleventh column indicates the maximum energy amplification; the twelfth column indicates the Reynolds number which is defined with the characteristic length of the thickness of the Stokes layer.
description: #t0:initial time; tf:end time;VARIABLES = "Wo", "T", "k_z", "k_θ", "t0", "tf", "tf-t0", "t0/T", "tf/T", "(tf-t0)/T", "TG", "Re_delta"ZONE T="data, all modes, opf", I=11, J=1
DOI: 10.25654/ifbq-bq22:kermit:9/2014
title: KERMIT 9, Schuljahr 2013/14

description: Unter dem Motto „Kompetenzen ermitteln“ – KERMIT – führen alle Hamburger Grundschulen, Stadtteilschulen und Gymnasien seit dem Schuljahr 2012/13 standardisierte Tests durch.
Mit KERMIT wird festgestellt, inwieweit die schulischen Leistungen der Schülerinnen und Schüler den Anforderungen der nationalen Bildungsstandards und der Hamburger Bildungspläne entsprechen. Die Testergebnisse informieren die Lehrkräfte über fachbezogene Stärken und Schwächen ihrer Lerngruppen.
KERMIT 9 hat im Schuljahr 2013/14 in den folgenden Domänen stattgefunden: Deutsch-Leseverstehen, Mathematik, Englisch-Leseverstehen und Naturwissenschaften.
description: Educational measurements and tests
description: unter Aufsicht von Testleitungen selbstständig ausgefüllte Leistungstests (Papier und Bleistift)
description: Schülerinnen und Schüler aus der neunten Jahrgangsstufe des Schuljahres 2013/14 in Hamburg
description: Vollerhebung
DOI: 10.1594/pangaea.967500
title: Sediment core and pore water data for AL557

description: Sediment cores and pore water cores were taken in the Skagerrak and North Sea with a multicorer on cruise AL557 (June 2021). The sediment cores were sliced onboard into 1 cm slices and frozen directly (-20°C). Pore water samples were taken with rhizon samplers (0.15 µm pore size, CSS; Rhizosphere, Netherlands) from intact sediment cores and frozen directly (-20°C). In the laboratory, the sediments were freeze-dried, sieved (&lt;2mm) and milled. For organic carbon (after acidification) and total carbon and nitrogen contents, the samples were analyzed using an Euro EA 3000 (Euro Vector SPA) Elemental Analyzer, delta 15N was measured with a FlashEA 1112 elemental analyzer coupled to a MAT 252 (Thermo Fisher Scientific) isotope ratio mass spectrometer (https://doi.org/10.1016/j.orggeochem.2009.05.008; lab 3). For trace metal analysis, the sediments were digested with HBF4+HNO3+HCl (https://doi.org/10.1039/D0AY01049A) and the pore water samples were acidified with HNO3 prior to 10-fold dilution with HNO3. Trace elements were measured by ICP-MS/MS (Agilent 8800, Agilent Technologies, Japan).
DOI: 10.23664/ahri.surveillance.episodes.basic.age.year.201907
title: AHRI.Surveillance Episodes Basic Age Year.Release 2019-07
DOI: 10.1594/pangaea.967504
title: Sediment core and pore water data for HE586

description: Sediment cores and pore water cores were taken in the Skagerrak with a multicorer on cruise HE586 (October 2021). The sediment cores were sliced onboard into 1 cm slices and frozen directly (-20°C). Pore water samples were taken with rhizon samplers (0.15 µm pore size, CSS; Rhizosphere, Netherlands) from intact sediment cores and frozen directly (-20°C). In the laboratory, the sediments were freeze-dried, sieved (&lt;2mm) and milled. For organic carbon (after acidification) and total carbon and nitrogen contents, the samples were analyzed using an Euro EA 3000 (Euro Vector SPA) Elemental Analyzer, delta 15N was measured with a FlashEA 1112 elemental analyzer coupled to a MAT 252 (Thermo Fisher Scientific) isotope ratio mass spectrometer (https://doi.org/10.1016/j.orggeochem.2009.05.008; lab 3). The pore water nutrient concentrations (ammonia, silicate, phosphate, nitrite, nitrite+nitrate) were measured using a TECAN infinite 200 plate reader. Colorimetric methods according to Ringuet et al. (2011; https://doi.org/10.1039/C0EM00290A) for phosphate and silicate, Yu et al. (1994; http://www.sfjo-lamer.org/la_mer/32-2/32-2.pdf#page=19) for ammonia and Garcia-Robledo et al. (2014; https://doi.org/10.1016/j.marchem.2014.03.002) were applied. For trace metal analysis, the sediments were digested with HBF4+HNO3+HCl (https://doi.org/10.1039/D0AY01049A) and the pore water samples were acidified with HNO3 prior to 10-fold dilution with HNO3. Trace elements were measured by ICP-MS/MS (Agilent 8800, Agilent Technologies, Japan).
DOI: 10.23664/ahri.surveillance.episodes.basic.age.year.hiv.201907
title: AHRI.Surveillance Episodes Basic Age Year HIV.Release 2019-07
DOI: 10.15468/dl.nk54e7
title: Occurrence Download

description: A dataset listing the 53535 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Agaricomycetes"
 ]
}

 The dataset's 53535 records were derived from 556 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0137526-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0170326.10fu
title: SH0170326.10FU

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/sh0170327.10fu
title: SH0170327.10FU

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/sh0170328.10fu
title: SH0170328.10FU

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/sh0170329.10fu
title: SH0170329.10FU

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/sh0170330.10fu
title: SH0170330.10FU

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/sh0170331.10fu
title: SH0170331.10FU

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: 10.60893/figshare.jcp.30887759
title: Supplement Number 1

description: Contains data about convergence of the perturbative correction near the crossover temperature, about the dividing-surface independence of our theory, as well as the data for the collinear H+H2 reaction.
DOI: 10.60893/figshare.jcp.30887759.v1
title: Supplement Number 1

description: Contains data about convergence of the perturbative correction near the crossover temperature, about the dividing-surface independence of our theory, as well as the data for the collinear H+H2 reaction.
DOI: 10.15156/bio/sh0170332.10fu
title: SH0170332.10FU

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/sh0170333.10fu
title: SH0170333.10FU

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.