cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7289/v5hx1b0k
title: National Coral Reef Monitoring Program: Assessing and monitoring cryptic reef diversity of colonizing marine invertebrates using autonomous reef monitoring structures (ARMS) deployed at coral reef sites across the Mariana Archipelago

description: This collection includes species identification data gathered from Autonomous Reef Monitoring Structures (ARMS). These ARMS are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity in the Mariana Archipelago as part of the ongoing National Coral Reef Monitoring Program (NCRMP). Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time.

This data was gathered at specific reef sites across the Mariana Archipelago. At these sites, divers entered the water and deployed and/or recovered the ARMS unit. Each unit used to gather this data consists of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm which is affixed to the reef. They are designed to mimic the structural complexity of a reef and attract colonizing invertebrates. Please see the data to determine how long a particular unit was underwater as soak times can vary by location.

Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed on-board the research ship. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for future DNA processing. Recruited motile organisms were then sieved into 3 size fractions: 2 mm, 500 um, and 100 um. The 500 um and 100 um fraction was bulked and preserved in 95% ethanol for future DNA processing. The 2 mm fraction was sorted into morphospecies. These DNA sequencing data are not included in this collection.
DOI: 10.15468/dl.v9k3a6
title: Occurrence Download

description: A dataset containing 2413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ecuador, Peru)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Tinamus tao Temminck, 1815"
 ]
}

 The dataset includes 2413 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002386-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v54x563c
title: National Coral Reef Monitoring Program: Assessing and monitoring cryptic reef diversity of colonizing marine invertebrates using autonomous reef monitoring structures (ARMS) deployed at coral reef sites across the Pacific Remote Island Areas

description: This collection includes species identification data gathered from Autonomous Reef Monitoring Structures (ARMS). These ARMS are used by the NOAA Coral Reef Ecosystem Program (CREP) to assess and monitor cryptic reef diversity in the Pacific Remote Island Areas as part of the ongoing National Coral Reef Monitoring Program (NCRMP). Developed in collaboration with the Census of Marine Life (CoML) Census of Coral Reef Ecosystems (CReefs), ARMS are designed to mimic the structural complexity of a reef and attract/collect colonizing marine invertebrates. The key innovation of the ARMS method is that biodiversity is sampled over precisely the same surface area in the exact same manner. Thus, the use of ARMS is a systematic, consistent, and comparable method for monitoring the marine cryptobiota community over time.

This data was gathered at specific reef sites across the Pacific Remote Island Areas. At these sites, divers entered the water and deployed and/or recovered the ARMS unit. Each unit used to gather this data consists of 23 cm x 23 cm gray, type 1 PVC plates stacked in alternating series of 4 open and 4 obstructed layers and attached to a base plate of 35 cm x 45 cm which is affixed to the reef. They are designed to mimic the structural complexity of a reef and attract colonizing invertebrates. Please see the data to determine how long a particular unit was underwater as soak times can vary by location.

Upon recovery, each ARMS unit was encapsulated, brought to the surface, and disassembled and processed on-board the research ship. Disassembled plates were photographed to document recruited sessile organisms and scraped clean and preserved in 95% ethanol for future DNA processing. Recruited motile organisms were then sieved into 3 size fractions: 2 mm, 500 um, and 100 um. The 500 um and 100 um fraction was bulked and preserved in 95% ethanol for future DNA processing. The 2 mm fraction was sorted into morphospecies. These DNA sequencing data are not included in this collection.
DOI: 10.15468/dl.b29sfm
title: Occurrence Download

description: A dataset containing 17349794 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myriopteris covillei (Maxon) Á.Löve & D.Löve, Valeriana ciliosa (Greene) Byng & Christenh., Claytosmunda claytoniana (L.) Metzgar & Rouhan, Falco sparverius Linnaeus, 1758, Motacilla alba Linnaeus, 1758, Platyrinchus mystaceus Vieillot, 1818, Motacilla flava Linnaeus, 1758, Zootoca vivipara (Lichtenstein, 1823), Parus major Linnaeus, 1758)",
 "BasisOfRecord is one of (Human Observation, Literature Occurrence, Living Specimen, Observation, Specimen, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2021",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 17349794 records from 4517 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0276229-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mq92n
title: Occurrence Download

description: A dataset containing 58247 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Broussonetia papyrifera (L.) L'Hér. ex Vent."
 ]
}

 The dataset includes 58247 records from 574 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007094-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8ee2nm
title: Occurrence Download

description: A dataset containing 625104827 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 625104827 records from 13902 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017570-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33ww3r
title: Occurrence Download

description: A dataset containing 3305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptes chrysocome (J.R.Forster, 1781)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2015"
 ]
}

 The dataset includes 3305 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007358-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s23s2mr4s8
title: Unified Reality Theory: Recursive Field Dynamics as a Framework for Cosmology and Dark Matter

description: Abstract
This paper introduces the Unified Reality Theory (URT), a foundational model of physical
reality based on recursive pressure, entropy, memory scaffolding, and harmonic field dynamics.
Unlike conventional models based on mass-energy curvature or probabilistic quantum collapse,
URT proposes that identity, time, structure, and gravity emerge from recursive field interac-
tions that evolve under pressure symmetry and entropic feedback. By reframing mass, motion,
and cosmological behavior through recursive scaffolds instead of point-based objects or singu-
larities, URT resolves longstanding anomalies in cosmology, including dark matter distribution,
accelerated expansion, and entropy paradoxes. This paper defines URT’s core equations, struc-
tural tiers, and predictive architecture while demonstrating how recursive field behavior replaces
classical causality and geometric space-time. The theory is mathematically closed and extensi-
ble, offering a self-reinforcing harmonic substrate capable of unifying cosmology, cognition, and
structure without exotic matter or higher dimensions.
DOI: 10.17632/s23s2mr4s8.1
title: Unified Reality Theory: Recursive Field Dynamics as a Framework for Cosmology and Dark Matter

description: Abstract
This paper introduces the Unified Reality Theory (URT), a foundational model of physical
reality based on recursive pressure, entropy, memory scaffolding, and harmonic field dynamics.
Unlike conventional models based on mass-energy curvature or probabilistic quantum collapse,
URT proposes that identity, time, structure, and gravity emerge from recursive field interac-
tions that evolve under pressure symmetry and entropic feedback. By reframing mass, motion,
and cosmological behavior through recursive scaffolds instead of point-based objects or singu-
larities, URT resolves longstanding anomalies in cosmology, including dark matter distribution,
accelerated expansion, and entropy paradoxes. This paper defines URT’s core equations, struc-
tural tiers, and predictive architecture while demonstrating how recursive field behavior replaces
classical causality and geometric space-time. The theory is mathematically closed and extensi-
ble, offering a self-reinforcing harmonic substrate capable of unifying cosmology, cognition, and
structure without exotic matter or higher dimensions.
DOI: 10.60600/yu/clawet/mgx5ga
title: 1949.wav

description: :unav
DOI: 10.60600/yu/clawet/hwx1lb
title: 1871.wav

description: :unav
DOI: 10.15468/dl.8d6d9a
title: Occurrence Download

description: A dataset containing 217580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lactuca serriola L."
 ]
}

 The dataset includes 217580 records from 1537 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0089298-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60600/yu/clawet/k8cx7o
title: 2048.wav

description: :unav
DOI: 10.15468/dl.42d99w
title: Occurrence Download

description: A dataset containing 653 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trimezia martinicensis (Jacq.) Herb.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 653 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092243-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsfqa8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Catalogue of Life Checklist",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092244-240506114902167/datasets/export for details.
DOI: 10.60600/yu/clawet/nxanbr
title: 1956.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/iyqfoz
title: 1687.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/zk4ekn
title: 1622.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/w4jmza
title: 1990.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/xysfse
title: 2027.wav

description: :unav
DOI: 10.60600/yu/clawet/zqvhl1
title: 1614.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/lvlj0w
title: 1607.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/3xtezg
title: 1887.wav

description: :unav
DOI: 10.60600/yu/clawet/i73fbr
title: 1671.wav

description: :unav
DOI: 10.60600/yu/clawet/sv40wx
title: 1898.wav

description: :unav
DOI: 10.60600/yu/clawet/mvv5cm
title: 1898.TextGrid

description: :unav
DOI: 10.60600/yu/clawet/nm2nju
title: 1948.TextGrid

description: :unav
DOI: 10.6084/m9.figshare.29652356.v2
title: Dust emission simulations over East Asia

description: This dataset supports the study <i>“Vegetation greening drives long-term dust mitigation in Eastern Asia.”</i><br>It includes all source data for the main figures, outputs from the dust emission model (DuEM v1), MERRA-2 dust optical depth data, and observation-based dust storm records. The dataset also provides shapefiles defining the Eastern Asian dust source and downwind regions. DuEM outputs cover both historical simulations (1982–2023) and future CMIP6 scenarios (SSP1-2.6, SSP2-4.5, SSP5-8.5). All data are provided in standard formats (CSV, XLSX, GeoTIFF, SHP, AI), along with essential processing codes to ensure transparency, reproducibility, and reuse.
DOI: 10.15156/bio/sh1374056.10fu
title: SH1374056.10FU

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/sh1374058.10fu
title: SH1374058.10FU

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/sh1374059.10fu
title: SH1374059.10FU

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/sh1374067.10fu
title: SH1374067.10FU

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: 10.4121/7bb229af-6840-4aed-8d32-695eb708a2aa
title: Dataset accompanying the publication: Coherent Fourier scatterometry using rotational scanning

description: Authors (publication): Sarika Soman, Bastiaan In't Velt, Roland Horsten, Silvania F. Pereira<br>This dataset contains raw and processed experimental data and the helper functions used to support the findings in the publication “Coherent Fourier scatterometry using rotational scanning”. The data was collected as part of a study on scan throughput improvement using a rotation stage for optical metrology applications. It includes coherent Fourier scatterometry (CFS) measurements of particle detection, calibration data for etched pits, scripts used for data processing and the FDTD simulations used to support the findings. The dataset is organised to ensure reproducibility and reuse, and can be applied to related research in nanoscale surface inspection.
DOI: 10.4121/7bb229af-6840-4aed-8d32-695eb708a2aa.v1
title: Dataset accompanying the publication: Coherent Fourier scatterometry using rotational scanning

description: Authors (publication): Sarika Soman, Bastiaan In't Velt, Roland Horsten, Silvania F. Pereira<br>This dataset contains raw and processed experimental data and the helper functions used to support the findings in the publication “Coherent Fourier scatterometry using rotational scanning”. The data was collected as part of a study on scan throughput improvement using a rotation stage for optical metrology applications. It includes coherent Fourier scatterometry (CFS) measurements of particle detection, calibration data for etched pits, scripts used for data processing and the FDTD simulations used to support the findings. The dataset is organised to ensure reproducibility and reuse, and can be applied to related research in nanoscale surface inspection.
DOI: 10.15156/bio/sh1374075.10fu
title: SH1374075.10FU

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/sh1374077.10fu
title: SH1374077.10FU

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/sh1374079.10fu
title: SH1374079.10FU

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.