cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34973/pv29-s650
title: Noise-Tagging Stimulus Sequences

description: We tested several different modulated and unmodulated stimulus sequences (m-sequences, Gold codes, de Bruijn sequences, Golay sequences) that elicit code-modulated visual evoked potentials (c-VEP) for a speller brain-computer interface (BCI). Additionally, we recorded non-overlapping flash-VEPs of various durations and inter-stimulus intervals, resting state (eyes open and closed), and several behavioural assessments (user comfort and SART). The aim is to investigate several known c-VEP BCI protocols, improve the state-of-the-art, and test factors that may hold predictive value for c-VEP BCI performance.
DOI: 10.15468/dl.dnkut8
title: Occurrence Download

description: A dataset containing 213127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (United States of America, Mexico, Guatemala, Belize, Nicaragua, El Salvador, Panama, Honduras, Costa Rica)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Prunus L., Crataegus L.)",
 "Year 1980-2025"
 ]
}

 The dataset includes 213127 records from 409 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007778-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7sfn93
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Acyrthosiphon caraganae (Cholodkovsky, 1908)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007792-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28416125
title: Electron Trajectories

description: The datasets for the electron trajectories for Cu, Au, Al, Si, and C generated in this study are publicly available in the Figshare repository. The repository includes a folder reads “Trajectories of Cu, Au, Al, Si, C”:Then, in this folder, you will have 5 folders:1. Cu data: “Cu all thicknesses”2. Au data: “Au all thicknesses”3. Al data: “Al all thicknesses”4. Si data: “Si all thicknesses”5. C data: “C all thicknesses”<br>Each folder contains an Excel file containing all the trajectory data, including 3 sheets for the thicknesses (100 Å, 1000 Å, and 5000 Å) of the corresponding material.
DOI: 10.15468/dl.qqyvrn
title: Occurrence Download

description: A dataset containing 126 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tribulus L."
 ]
}

 The dataset includes 126 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007794-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/5803dc4b7c5735dbba94b63691c7d511
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 12 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-12. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-12 site. This is an ONGOING dataset.
DOI: 10.15468/dl.9725vn
title: Occurrence Download

description: A dataset containing 879 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otus gurneyi (Tweeddale, 1879)"
 ]
}

 The dataset includes 879 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007795-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tyxec3
title: Occurrence Download

description: A dataset containing 1321 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otus megalotis (Walden, 1875)"
 ]
}

 The dataset includes 1321 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007796-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9eeya5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Adelges geniculatus (Ratzeburg, 1844)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007797-250310093411724/datasets/export for details.
DOI: 10.3886/e222044v1
title: Americorps Civic Engagement and Volunteering Survey Datasets 2017-2023

description: The Current Population Survey Civic Engagement and Volunteering (CEV) 
Supplement is the most robust longitudinal survey about volunteerism and
 other forms of civic engagement in the United States. Produced by 
AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the
 pulse of our nation’s civic health every two years. <br><br>
DOI: 10.3886/e222044v2
title: Americorps Civic Engagement and Volunteering Survey Datasets 2017-2023

description: The Current Population Survey Civic Engagement and Volunteering (CEV) 
Supplement is the most robust longitudinal survey about volunteerism and
 other forms of civic engagement in the United States. Produced by 
AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the
 pulse of our nation’s civic health every two years. <br><br>
DOI: 10.3886/e222044v3
title: Americorps Civic Engagement and Volunteering Survey Datasets 2017-2023

description: The Current Population Survey Civic Engagement and Volunteering (CEV) 
Supplement is the most robust longitudinal survey about volunteerism and
 other forms of civic engagement in the United States. Produced by 
AmeriCorps in partnership with the U.S. Census Bureau, the CEV takes the
 pulse of our nation’s civic health every two years. <br><br>
DOI: 10.6084/m9.figshare.28590185
title: Landslide Susceptibility Assessment Factors

description: Data on evaluation factors of landslide susceptibility in the Qinghai-Tibet Plateau
DOI: 10.15468/dl.2wtdya
title: Occurrence Download

description: A dataset containing 18592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "OccurrenceStatus is Present",
 "PublishingOrg is ae447c50-b8a8-11d8-92a4-b8a03c50a862"
 ]
}

 The dataset includes 18592 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007799-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zzfqxp
title: Occurrence Download

description: A dataset containing 8741680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-70.66756 -19.0445,-69.57567 -18.72883,-68.45345 -17.4314,-67.96816 -15.86227,-68.21081 -13.72168,-68.6051 -10.90691,-69.3027 -10.31067,-69.9093 -10.31067,-70.12161 -9.17477,-71.2135 -8.90519,-72.57836 -8.90519,-73.06365 -7.37397,-71.9111 -5.80727,-70.52058 -4.98348,-69.39836 -4.56033,-69.73199 -3.59222,-69.79265 -2.19885,-71.30916 -1.77448,-72.61336 -2.07761,-73.70525 -0.92548,-74.5545 0.16637,-75.25209 0.40901,-76.162 0.13604,-75.70705 -0.6222,-76.162 -1.56226,-76.70795 -2.19885,-77.8605 -2.44129,-78.43677 -2.86546,-78.70974 -3.19862,-79.33306 -3.29909,-80.22751 -2.94881,-83.34725 -4.18702,-84.40898 -6.17445,-83.75099 -14.61158,-78.92933 -18.46777,-70.66756 -19.0445))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 8741680 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007790-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8jdrh4
title: Occurrence Download

description: A dataset containing 373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Zygophyllum L."
 ]
}

 The dataset includes 373 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007800-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.92vegc
title: Occurrence Download

description: A dataset containing 879 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Otus gurneyi (Tweeddale, 1879)"
 ]
}

 The dataset includes 879 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007801-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6073/pasta/64f9f6108f7a434e4bfcee18dbcc65d5
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-13. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-13 site. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.28593299
title: Temperatura control y handicaped ASY

description: Control y handicaped
DOI: 10.6084/m9.figshare.28593299.v1
title: Temperatura control y handicaped ASY

description: Temperatura control y handicaped ASY
DOI: 10.15468/dl.n5qyxw
title: Occurrence Download

description: A dataset containing 1655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phloeopora corticalis (Gravenhorst, 1802)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1655 records from 91 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007802-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e220802
title: U.S. PIAAC Cycle I (2012 - 2017) Public Use Files

description: The PIAAC U.S. 2017 public-use file (PUF) contains individual unit data 
including both responses to the background questionnaire and the 
cognitive assessment from the third U.S. PIAAC data collection, 
completed in 2017. Statistical disclosure control treatments were 
applied due to confidentiality concerns. For more details on the PUF, 
please refer to Appendix E of the U.S. PIAAC Technical Report (NCES 
2020-224).<br>The PIAAC 2012/14 U.S. PUF contains individual unit record data 
including both responses to the background questionnaire and the 
cognitive assessment from both the first and second U.S. PIAAC data 
collections, completed in 2012 and 2014, respectively. In September 
2017, the PUF was reissued, with an Errata Sheet
 detailing the revisions. Statistical disclosure control treatments were
 applied due to confidentiality concerns. For more details on the PUF, 
please refer to Appendix E of the U.S. PIAAC Technical Report (NCES 2016-036REV). <br><br><br>
description: See the included technical reports
description: Smallest Geographic Unit: Census Region
DOI: 10.3886/e220802v1
title: U.S. PIAAC Cycle I (2012 - 2017) Public Use Files

description: The PIAAC U.S. 2017 public-use file (PUF) contains individual unit data 
including both responses to the background questionnaire and the 
cognitive assessment from the third U.S. PIAAC data collection, 
completed in 2017. Statistical disclosure control treatments were 
applied due to confidentiality concerns. For more details on the PUF, 
please refer to Appendix E of the U.S. PIAAC Technical Report (NCES 
2020-224).<br>The PIAAC 2012/14 U.S. PUF contains individual unit record data 
including both responses to the background questionnaire and the 
cognitive assessment from both the first and second U.S. PIAAC data 
collections, completed in 2012 and 2014, respectively. In September 
2017, the PUF was reissued, with an Errata Sheet
 detailing the revisions. Statistical disclosure control treatments were
 applied due to confidentiality concerns. For more details on the PUF, 
please refer to Appendix E of the U.S. PIAAC Technical Report (NCES 2016-036REV). <br><br><br>
description: See the included technical reports
description: Smallest Geographic Unit: Census Region
DOI: 10.15468/dl.jqmez4
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Mongolia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myricaria Desv."
 ]
}

 The dataset includes 43 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007803-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15022436
title: EFFECTIVENESS OF THE USE OF SPORTS FACILITIES IN UZBEKISTAN
DOI: 10.5281/zenodo.15022437
title: EFFECTIVENESS OF THE USE OF SPORTS FACILITIES IN UZBEKISTAN
DOI: 10.5281/zenodo.15022450
title: МЕТОДИЧЕСКИЕ ПОДХОДЫ К ФОРМИРОВАНИЮ СИНТАКСИЧЕСКОЙ КОМПЕТЕНЦИИ У СТУДЕНТОВ
DOI: 10.5281/zenodo.15022451
title: МЕТОДИЧЕСКИЕ ПОДХОДЫ К ФОРМИРОВАНИЮ СИНТАКСИЧЕСКОЙ КОМПЕТЕНЦИИ У СТУДЕНТОВ
DOI: 10.5281/zenodo.14993328
title: Support information for: 'A fully automated heart frequency recording device and associated data processing R package'

description: This dataset comprises data and scripts that supports the findings of the work 'A fully automated heart frequency recording device and associated data processing R package'.
DOI: 10.5281/zenodo.15020010
title: Support information for: 'A fully automated heart frequency recording device and associated data processing R package'

description: This dataset comprises data and scripts that supports the findings of the work 'A fully automated heart frequency recording device and associated data processing R package'.
DOI: 10.5281/zenodo.15022179
title: Support information for: 'A fully automated heart frequency recording device and associated data processing R package'

description: This dataset comprises data and scripts that supports the findings of the work 'A fully automated heart frequency recording device and associated data processing R package'.
DOI: 10.5281/zenodo.15022455
title: INFLUENCE OF RUSSIAN POETRY ON THE DEVELOPMENT OF MODERN UZBEK POETRY
DOI: 10.5281/zenodo.15022456
title: INFLUENCE OF RUSSIAN POETRY ON THE DEVELOPMENT OF MODERN UZBEK POETRY
DOI: 10.15468/dl.n254x7
title: Occurrence Download

description: A dataset containing 38166 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Holosteum umbellatum L."
 ]
}

 The dataset includes 38166 records from 663 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007804-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1094616.10fu
title: SH1094616.10FU

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/sh1094617.10fu
title: SH1094617.10FU

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/sh1094618.10fu
title: SH1094618.10FU

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/sh1094619.10fu
title: SH1094619.10FU

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/sh1094620.10fu
title: SH1094620.10FU

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/sh1094621.10fu
title: SH1094621.10FU

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.