cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/103138
title: Water column geochemistry data from REVOSIMA MAYOBS15 Cruise

description: The Mayotte volcanological and seismological monitoring network (REVOSIMA) was created in response to the sub-marine eruption that started in May 2018. Composed by IPGP, BRGM, IFREMER and CNRS, its main missions are:
 - 1) to observe and study volcanic phenomena through real-time volcano monitoring,
 - 2) to conduct research programs,
 - 3) to communicate, disseminate and inform authorities and civil society.
These real-time observations and research can contribute to the prevention, and mitigation of seismic and volcanic risks. The main objective is to collect geological, geophysical and geochemical data over long periods of time to improve the understanding and modeling of volcanic processes at active volcanoes, to allow the systematic elaboration of long-term multi-parameters databases available to the scientific community, and to inform the authorities in charge of civil protection of any change in the volcano activity and after periods of local and regionally felt earthquakes.
The MAYOBS campaigns are carried out to monitor the evolution of the seismic and volcanic phenomenon which has affected the island of Mayotte since May 2018. They are carried out as part of an action program financed by the Ministry of Research, the General Directorate of prevention and risks of the Ministry of Ecological and Inclusive Transition, with the support of the interministerial delegate for major risks overseas and in conjunction with the other ministries and institutes involved (IPGP, IPGS, BRGM, IFREMER). They focus on the region east of Mayotte. The bathymetric surveys carried out by SHOM in the volcano area also contribute to the MAYOBS project.
IFREMER carried out water column geochemistry measurements during MD242 / MAYOBS25 cruise. In the present database, 9 stations were investigated between the 6th and 22nd October 2020 using in situ measurements embedded in a CTD-Rosette. Samples (max. 16 bottles per station) were anaylized onboard and onshore depending on the parameters. The quality controlled and process data are:
 - In situ: salinity (conductivity), temperature, depth, dissolved oxygen, turbidity
 - Onboard: pH, alkalinity, dissolved inorganic carbon, dissolved CH4 CO2 H2
 - Onshore: silicates, d13C CH4, d13C CO2, He, Ne, 3He, 4He
DOI: 10.17882/92537
title: Water column geochemistry data from REVOSIMA MAYOBS1 Cruise

description: The Mayotte volcanological and seismological monitoring network (REVOSIMA) was created in response to the sub-marine eruption that started in May 2018. Composed by IPGP, BRGM, IFREMER and CNRS, its main missions are:
 - 1) to observe and study volcanic phenomena through real-time volcano monitoring,
 - 2) to conduct research programs,
 - 3) to communicate, disseminate and inform authorities and civil society.
These real-time observations and research can contribute to the prevention, and mitigation of seismic and volcanic risks. The main objective is to collect geological, geophysical and geochemical data over long periods of time to improve the understanding and modeling of volcanic processes at active volcanoes, to allow the systematic elaboration of long-term multi-parameters databases available to the scientific community, and to inform the authorities in charge of civil protection of any change in the volcano activity and after periods of local and regionally felt earthquakes.
The MAYOBS campaigns are carried out to monitor the evolution of the seismic and volcanic phenomenon which has affected the island of Mayotte since May 2018. They are carried out as part of an action program financed by the Ministry of Research, the General Directorate of prevention and risks of the Ministry of Ecological and Inclusive Transition, with the support of the interministerial delegate for major risks overseas and in conjunction with the other ministries and institutes involved (IPGP, IPGS, BRGM, IFREMER). They focus on the region east of Mayotte. The bathymetric surveys carried out by SHOM in the volcano area also contribute to the MAYOBS project.
IFREMER carried out water column geochemistry measurements during MD220-MAYOBS cruise. In the present database, 5 stations were investigated between 15th and 17th May 2019 using in situ measurements embedded in a CTD-Rosette. Samples (max. 16 bottles per station) were anaylized onboard and onshore depending on the parameters. The quality controlled and process data are:
 - In situ: salinity (conductivity), temperature, depth, dissolved oxygen, turbidity
 - Onboard: pH, alkalinity, dissolved inorganic carbon
 - Onshore: dissolved CO2 CH4 H2, silicates
DOI: 10.25549/independent-c69-4061
title: indep-box07-13-02
DOI: 10.15468/dl.qaodie
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pteronia fastigiata Thunb."
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002192-150512124619364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ve5g9r
title: Occurrence Download

description: A dataset containing 638 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Symphyotrichum subulatum var. parviflorum (Nees) S.D.Sundb."
 ]
}

 The dataset includes 638 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008784-230828120925497/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-4087
title: indep-box07-13-02
DOI: 10.15468/dl.5drfpk
title: Occurrence Download

description: A dataset containing 7983 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dactyliosolen fragilissimus (Bergon) Hasle, 1996"
 ]
}

 The dataset includes 7983 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002192-150831095807960/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-4085
title: indep-box07-13-02
DOI: 10.15468/dl.hmqyhd
title: Occurrence Download

description: A dataset containing 13850867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-99.83527 32.91781,-91.85192 32.91781,-91.85192 33.23431,-91.85192 37.42796,-99.83527 37.42796,-99.83527 32.91781))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 13850867 records from 794 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012201-240202131308920/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xts39s
title: Occurrence Download

description: A dataset containing 66082 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Centaurea montana L."
 ]
}

 The dataset includes 66082 records from 614 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001511-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-4095
title: indep-box07-13-02
DOI: 10.5525/gla.researchdata.1644
title: Psychosocial factors distinguishing men who have attempted suicide from men with suicidal ideation and non-suicidal men: Findings from a global survey
DOI: 10.15468/dl.yqsyly
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scolytus sinopiceus Tsai, 1962"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002192-150912100344238/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txcvsp
title: Occurrence Download

description: A dataset containing 5626 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Suncus etruscus (Savi, 1822)"
 ]
}

 The dataset includes 5626 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048537-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-38711
title: Card files (closed). A-L claims (GX 16283 - GX 16696), 1989

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1989. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-38565
title: Card files (closed). A-L claims (GX 16283 - GX 16696), 1989

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1989. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.gt2mdk
title: Occurrence Download

description: A dataset containing 117 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pilotrichella rigida (Müll.Hal.) Besch.",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((139.22 -72.69,139.22 84.51,-137.81 84.51,-137.81 -72.69,139.22 -72.69))",
 "PublishingCountry is Mexico"
 ]
}

 The dataset includes 117 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002192-151016162008034/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-38511
title: Card files (closed). A-L claims (GX 16283 - GX 16696), 1989

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1989. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.nn3j72
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-6.74949 43.317,-6.72542 42.82482,-6.25788 42.53615,-5.30559 42.70557,-5.37297 43.30049,-6.74949 43.317))",
 "HasGeospatialIssue is false",
 "TaxonKey is Festuca heterophylla Lam."
 ]
}

 The dataset includes 97 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048542-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4sw9yv
title: Occurrence Download

description: A dataset containing 1995830 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Culicidae"
 ]
}

 The dataset includes 1995830 records from 900 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006044-230918134249559/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1054908.10fu
title: SH1054908.10FU

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/sh1054910.10fu
title: SH1054910.10FU

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/sh1054915.10fu
title: SH1054915.10FU

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/sh1054917.10fu
title: SH1054917.10FU

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/sh1054918.10fu
title: SH1054918.10FU

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/sh1054919.10fu
title: SH1054919.10FU

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/sh1054921.10fu
title: SH1054921.10FU

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/sh1054923.10fu
title: SH1054923.10FU

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/sh1054925.10fu
title: SH1054925.10FU

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/sh1054926.10fu
title: SH1054926.10FU

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.