cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7284/163575
title: GNSS (Global Navigation Satellite System) data collected during research cruise EN726 using a Furuno GP-33 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163576
title: GNSS (Global Navigation Satellite System) data collected during research cruise EN726 using a Garmin GPSMAP-741 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163564
title: Gyrocompass data collected during research cruise EN726 using a Sperry MK-37 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163565
title: Gyrocompass data collected during research cruise EN726 using a Sperry MK-37 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163569
title: Meteorological Station data collected during research cruise EN726 using a RMYoung 26800 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163566
title: Radiometer data collected during research cruise EN726 using a Eppley RAD instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.15042045
title: Metabolights MAF files enriched with chemical classification
DOI: 10.5281/zenodo.15042046
title: Metabolights MAF files enriched with chemical classification
DOI: 10.7284/163567
title: Radiometer data collected during research cruise EN726 using a Eppley RAD instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163571
title: Singlebeam Echosounder data collected during research cruise EN726 using a Knudsen 320B/R instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163570
title: Speedlog data collected during research cruise EN726 using a Furuno DS-50 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163573
title: Timeserver data collected during research cruise EN726 using a Spectracom SecureSync instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163568
title: TSG (Thermosalinograph) data collected during research cruise EN726 using a SeaBird SBE-45 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/163572
title: TSG (Thermosalinograph) data collected during research cruise EN726 using a SeaBird SBE-21 instrument system onboard the platform RV Endeavor

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.3886/e201605v1
title: INROADS: Intersecting Research on Addiction and Disability Services

description: People with disabilities (PWD) are an overlooked health
disparity population who routinely experience stigma, discrimination, ableism,
and lower socioeconomic status. Barriers to health care are generally high for
PWD, and despite over three decades of the Americans with Disabilities Act,
many health care settings including addiction treatment are not fully
accessible for PWD. The INROADS portfolio stems from two projects: (1) INROADS
(NIDILRR 90DPGE0007) and (2) INROADS-Alcohol (NIAAA R01AA031236), each of which
examine the intersection between substance use and risky use, addiction,
disability, and addiction treatment services. Both studies focus on the broad population of PWD, as well as subpopulations such as those
with vision or hearing impairments, mobility impairment or spinal cord injury, acquired brain injury including TBI, intellectual and developmental disabilities including those with autism, and serious mental illness.<br>

<br>The original INROADS project, or Intersecting Research on
Opioid Misuse, Addiction, and Disability Services, was a joint research program
between Brandeis University’s Institute for Behavioral Health and its Lurie
Institute for Disability Policy. It examined the intersection between
addiction, disability, and service provision in an effort to address the rise
of opioid use disorders (OUD) among people with disabilities. <br><br>INROADS-A
(INROADS-Alcohol) is an active joint research program between Brandeis
University’s Institute for Behavioral Health and Boston University School of
Public Health’s Department of Health Law, Policy and Management, which builds
on the foundational INROADS research with a focus on alcohol use disorder. <br><br>

The original INROADS project laid a foundation for
understanding the intersection of disability with opioid use disorder, and traumatic brain injury (TBI) with at-risk opioid
use and consequences, and INROADS-A seeks to better understand alcohol use
patterns, treatment needs, and alcohol use disorder (AUD) treatment access,
quality and outcomes for people with disabilities.<br>
DOI: 10.3886/e201605v2
title: INROADS: Intersecting Research on Addiction and Disability Services

description: People with disabilities (PWD) are an overlooked health
disparity population who routinely experience stigma, discrimination, ableism,
and lower socioeconomic status. Barriers to health care are generally high for
PWD, and despite over three decades of the Americans with Disabilities Act,
many health care settings including addiction treatment are not fully
accessible for PWD. The INROADS portfolio stems from two projects: (1) INROADS
(NIDILRR 90DPGE0007) and (2) INROADS-Alcohol (NIAAA R01AA031236), each of which
examine the intersection between substance use and risky use, addiction,
disability, and addiction treatment services. Both studies focus on the broad population of PWD, as well as subpopulations such as those
with vision or hearing impairments, mobility impairment or spinal cord injury, acquired brain injury including TBI, intellectual and developmental disabilities including those with autism, and serious mental illness.<br>

<br>The original INROADS project, or Intersecting Research on
Opioid Misuse, Addiction, and Disability Services, was a joint research program
between Brandeis University’s Institute for Behavioral Health and its Lurie
Institute for Disability Policy. It examined the intersection between
addiction, disability, and service provision in an effort to address the rise
of opioid use disorders (OUD) among people with disabilities. <br><br>INROADS-A
(INROADS-Alcohol) is an active joint research program between Brandeis
University’s Institute for Behavioral Health and Boston University School of
Public Health’s Department of Health Law, Policy and Management, which builds
on the foundational INROADS research with a focus on alcohol use disorder. <br><br>

The original INROADS project laid a foundation for
understanding the intersection of disability with opioid use disorder, and traumatic brain injury (TBI) with at-risk opioid
use and consequences, and INROADS-A seeks to better understand alcohol use
patterns, treatment needs, and alcohol use disorder (AUD) treatment access,
quality and outcomes for people with disabilities.<br>
DOI: 10.3886/e201605v3
title: INROADS: Intersecting Research on Addiction and Disability Services

description: People with disabilities (PWD) are an overlooked health
disparity population who routinely experience stigma, discrimination, ableism,
and lower socioeconomic status. Barriers to health care are generally high for
PWD, and despite over three decades of the Americans with Disabilities Act,
many health care settings including addiction treatment are not fully
accessible for PWD. The INROADS portfolio stems from two projects: (1) INROADS
(NIDILRR 90DPGE0007) and (2) INROADS-Alcohol (NIAAA R01AA031236), each of which
examine the intersection between substance use and risky use, addiction,
disability, and addiction treatment services. Both studies focus on the broad population of PWD, as well as subpopulations such as those
with vision or hearing impairments, mobility impairment or spinal cord injury, acquired brain injury including TBI, intellectual and developmental disabilities including those with autism, and serious mental illness.<br>

<br>The original INROADS project, or Intersecting Research on
Opioid Misuse, Addiction, and Disability Services, was a joint research program
between Brandeis University’s Institute for Behavioral Health and its Lurie
Institute for Disability Policy. It examined the intersection between
addiction, disability, and service provision in an effort to address the rise
of opioid use disorders (OUD) among people with disabilities. <br><br>INROADS-A
(INROADS-Alcohol) is an active joint research program between Brandeis
University’s Institute for Behavioral Health and Boston University School of
Public Health’s Department of Health Law, Policy and Management, which builds
on the foundational INROADS research with a focus on alcohol use disorder. <br><br>

The original INROADS project laid a foundation for
understanding the intersection of disability with opioid use disorder, and traumatic brain injury (TBI) with at-risk opioid
use and consequences, and INROADS-A seeks to better understand alcohol use
patterns, treatment needs, and alcohol use disorder (AUD) treatment access,
quality and outcomes for people with disabilities.<br>
DOI: 10.3886/e201605v4
title: INROADS: Intersecting Research on Addiction and Disability Services

description: People with disabilities (PWD) are an overlooked health
disparity population who routinely experience stigma, discrimination, ableism,
and lower socioeconomic status. Barriers to health care are generally high for
PWD, and despite over three decades of the Americans with Disabilities Act,
many health care settings including addiction treatment are not fully
accessible for PWD. The INROADS portfolio stems from two projects: (1) INROADS
(NIDILRR 90DPGE0007) and (2) INROADS-Alcohol (NIAAA R01AA031236), each of which
examine the intersection between substance use and risky use, addiction,
disability, and addiction treatment services. Both studies focus on the broad population of PWD, as well as subpopulations such as those
with vision or hearing impairments, mobility impairment or spinal cord injury, acquired brain injury including TBI, intellectual and developmental disabilities including those with autism, and serious mental illness.<br>

<br>The original INROADS project, or Intersecting Research on
Opioid Misuse, Addiction, and Disability Services, was a joint research program
between Brandeis University’s Institute for Behavioral Health and its Lurie
Institute for Disability Policy. It examined the intersection between
addiction, disability, and service provision in an effort to address the rise
of opioid use disorders (OUD) among people with disabilities. <br><br>INROADS-A
(INROADS-Alcohol) is an active joint research program between Brandeis
University’s Institute for Behavioral Health and Boston University School of
Public Health’s Department of Health Law, Policy and Management, which builds
on the foundational INROADS research with a focus on alcohol use disorder. <br><br>

The original INROADS project laid a foundation for
understanding the intersection of disability with opioid use disorder, and traumatic brain injury (TBI) with at-risk opioid
use and consequences, and INROADS-A seeks to better understand alcohol use
patterns, treatment needs, and alcohol use disorder (AUD) treatment access,
quality and outcomes for people with disabilities.<br>
DOI: 10.15468/dl.sugffw
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Parlatoria oleae (Colvée, 1880)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013409-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nndtb6
title: Occurrence Download

description: A dataset listing the 1082 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.31_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset's 1082 records were derived from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013407-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/11066019
title: llms.txt
DOI: 10.15468/dl.fs5puk
title: Occurrence Download

description: A dataset containing 6901 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Tremarctos ornatus (F.G.Cuvier, 1825)"
 ]
}

 The dataset includes 6901 records from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013410-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sduunx
title: Occurrence Download

description: A dataset containing 617302 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-40.4901 12.29471,59.24426 12.29471,59.24426 75.68655,-40.4901 75.68655,-40.4901 12.29471))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is one of (Tetragnathidae, Araneidae)",
 "Year 2000-2025"
 ]
}

 The dataset includes 617302 records from 2103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013376-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qkttrv
title: Occurrence Download

description: A dataset containing 95 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pouteria splendens (A.DC.) Kuntze"
 ]
}

 The dataset includes 95 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021140-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1107289.10fu
title: SH1107289.10FU

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/sh1107291.10fu
title: SH1107291.10FU

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/sh1107296.10fu
title: SH1107296.10FU

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/sh1107298.10fu
title: SH1107298.10FU

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/sh1107299.10fu
title: SH1107299.10FU

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/sh1107300.10fu
title: SH1107300.10FU

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/sh1107301.10fu
title: SH1107301.10FU

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/sh1107303.10fu
title: SH1107303.10FU

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.