cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0196314.10fu
title: SH0196314.10FU

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: 10.25574/30478
title: Chandra X-ray Observatory ObsId 30478

description: Probing particle acceleration in Abell 168
DOI: 10.15156/bio/sh0196315.10fu
title: SH0196315.10FU

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/sh0196316.10fu
title: SH0196316.10FU

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/sh0196317.10fu
title: SH0196317.10FU

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/sh0196318.10fu
title: SH0196318.10FU

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/sh0196319.10fu
title: SH0196319.10FU

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/sh0196320.10fu
title: SH0196320.10FU

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: 10.5281/zenodo.13319904
title: Water Body Checklists 2019: Java Sea Species List

description: Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the Java Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
DOI: 10.5281/zenodo.13319905
title: Water Body Checklists 2019: Java Sea Species List

description: Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the Java Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
DOI: 10.6084/m9.figshare.28407668
title: Leaf area index and climate factors

description: Leaf Area Index is defined as half of the total green leaf area of the horizontal land surface, which clearly reflects vertical vegetation structure.Temperature and precipitation are direct driving factors for vegetation changes, and atmospheric circulation factors affect water vapor transport and heat redistribution, serving as the fundamental drivers.
DOI: 10.6084/m9.figshare.28407668.v1
title: Leaf area index and climate factors

description: Leaf Area Index is defined as half of the total green leaf area of the horizontal land surface, which clearly reflects vertical vegetation structure.Temperature and precipitation are direct driving factors for vegetation changes, and atmospheric circulation factors affect water vapor transport and heat redistribution, serving as the fundamental drivers.
DOI: 10.5258/soton/d3381
title: Datasets from 'Mixed sand and gravel beach morphodynamics: observations and modelling across the nearshore' PhD project.

description: Datasets gathered as part of the PhD project ' Mixed sand and gravel beach morphodynamics: observations and modelling across the nearshore'.

Pevensey Bay Bathymetric and Topographic Surveys 2020-2022: This dataset includes elevation data across 18 profiles which relate to the following National Network of Coastal Monitoring Programme transects 4c01677 to 4c01729. The profiles extend approximately 1km offshore with 3 profiles extending out to the outer depth of closure (Hallermeier, 1983). The positional data is provided in the cartesian co-ordinate system British National Grid, and the height data is relative to Ordnance Datum Newlyn. Further information included within datasheet.

Pevensey Bay Particle Size Distribution: This dataset includes particle size distribution data from the nearshore (array and transverse finger bar areas) and from across the beach face. The positional data of the grab samples is provided for the array area and transverse bar area, but is approximate for the upper beach area. The in the cartesian co-ordinate system British National Grid, and the height data is relative to Ordnance Datum Newlyn. Further information included within datasheet.

Pevensey Bay X-Band Radar Sea Surface Roughness Images: This dataset includes a series of sea surface roughness images calculated weekly between November 2020 until February 2023. The raw data was obtained from a X-band radar tower and processed by Marlan Maritime Ltd. Further information is included within datasheet.
DOI: 10.5281/zenodo.13319972
title: Water Body Checklists 2019: Red Sea Species List

description: Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the Red Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
DOI: 10.5281/zenodo.13319973
title: Water Body Checklists 2019: Red Sea Species List

description: Species checklists created using effechecka and modified polygons from IHO. The polygons were reduced in resolution.List of species collected from the Red Sea using effechecka and a modified polygon from the International Hydrographic Association. A filter was applied (based on data from WoRMS) to remove all non-marine taxa.
DOI: 10.15468/dl.tnfva3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Squalus megalops (Macleay, 1881)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001669-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mxdf6
title: Occurrence Download

description: A dataset containing 15853 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melinis repens (Willd.) Zizka, Rhynchelytrum dregeanum var. intermedium Chiov., Rhynchelytrum stolzii (Mez) Stapf & C.E.Hubb., Rhynchelytrum dregeanum Nees, Rhynchelytrum gossweileri Stapf & C.E.Hubb., Tricholaena grandiflora Hochst. ex A.Rich., Tricholaena wightii Arn. & Nees ex Nees, Tricholaena brevipila Hack. ex Schinz, Rhynchelytrum dregeanum var. annuum Chiov., Tricholaena rosea var. setosa Peters, Rhynchelytrum ruficomum Hochst., Tricholaena wightii Nees ex Lisboa, Tricholaena rosea f. atropurpura Voss, Tricholaena rosea f. violacea Voss, Saccharum repens Willd., Rhynchelytrum ruficomum Hochst. ex Steud., Monachyron villosum Parl., Tricholaena atropurpura (Voss) Vilm., Rhynchelytrum repens (Willd.) C.E.Hubb., Tricholaena repens (Willd.) Hitchc., Axonopus repens (Willd.) Zizka, Rhynchelythrum repens (Willd.) C.E.Hubb., Erianthus repens (Willd.) P.Beauv.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 15853 records from 349 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001668-250212154643175/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/xpar-tnqw-fm0p
title: NASA DC-8 Flight Deck Video Data. Version 1.0

description: This dataset contains aircraft video data collected on the NASA DC-8 aircraft from the High Ice Water Content (HIWC) Radar Study project that took place in Fort Lauderdale, Florida; Palmdale, California; and Kona, Hawaii. The data are in tar format by flight.
DOI: 10.13140/rg.2.2.30376.84483
title: 11th September 2025 NH IRSat&500hPa Temp Rayleigh-Taylor Instabilities Driving Weather and Climate 3D Multivariable Earth series by Diego Fdez-Sevilla PhD
DOI: 10.26023/cpyk-p8nc-zd14
title: Weather Radar Data. Version 1.1

description: This dataset contains the weather radar (WXR) data collected during the High Ice Water Content (HIWC) Radar Study project, onboard the NASA DC-8 aircraft, that took place in Fort Lauderdale, Florida; Palmdale, California; and Kona, Hawaii. The radar measurements contained in this dataset have been processed to remove the instrument properties from the airborne radar data and thereby produce scientific measures of the atmosphere and the HIWC conditions. There are 3 different file types (RadProd, bitmap, and KMZ) containing radar measurements with each file type containing all of the flights in one zip file.
DOI: 10.5284/1136561
title: PROJECT 190401 CF93 Watching brief: Rainsford Parkway, Rainsford Rd, Chelmsford

description: null
DOI: 10.15468/dl.ha7dpm
title: Occurrence Download

description: A dataset containing 385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geonoma leptospadix)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 385 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036633-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/zdmj-d1ty-fg14
title: NCAR/EOL Quality Controlled 5-minute ISFS surface flux data, geographic coordinate, tilt corrected. Version 1.2

description: This dataset contains quality controlled, 5-minute surface flux data collected by the Integrated Surface Flux System (ISFS) during the Perdigao field campaign. These data are in NetCDF format and the sonic winds have been corrected for boom orientation and tilt, and are thus rotated into a geographic coordinate system. The quality control proceedures and corrections applied to the data, as well as any uncorrectable issues are described in detail in the accompanying Data QC Report document.
DOI: 10.26023/30d9-fspt-bm0n
title: NAVGEM Reanalysis along NGV Flight Tracks. Version 1.0

description: This dataset includes high-altitude NAVGEM reanalysis winds, temperatures and densities on constant geometric height levels from 0-110 km, registered at 1 s intervals along the flight tracks of all 26 research flights conducted by the NSF/NCAR Gulfstream V (NGV) research aircraft during the Deep Propagating Gravity Wave Experiment (DEEPWAVE).
DOI: 10.26023/qmmz-xdry-qq0e
title: NCAR/EOL ISS Surface Meteorology Data. Version 1.0

description: This dataset contains surface meteorology data collected by the NCAR/EOL Integrated Sounding System (ISS) WXT-520 that was located west of the double ridge at the West Wind Profiler Site during the Perdigao field project in 2016-2017. This dataset includes 3m temperature, humidity, pressure, winds, and precipitation, collected every minute in NetCDF format. These data are now considered quality controlled, as no changes were required during the QC process.
DOI: 10.15468/dl.53r437
title: Occurrence Download

description: A dataset containing 49431 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pheidole"
 ]
}

 The dataset includes 49431 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036632-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/w9dr-jvtj-qz01
title: NCAR/EOL ISS Surface Meteorology Data. Version 1.0

description: Surface meteorology data collected by the NCAR/EOL Integrated Sounding System (ISS) Lufft WS700 that was located at the southeast end of the Vale do Cobrao at the Sodar-RASS Site during the Perdigao field project in 2016-2017. This dataset includes 3m temperature, humidity, pressure, winds, and precipitation, collected every minute in NetCDF format. These data are considered quality controlled, as no changed were deemed necessary during the QC process.
DOI: 10.15468/dl.4p2per
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Kaempferia rotunda",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 40 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036634-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/8x1n-tct4-p50x
title: NCAR/EOL Quality Controlled High-rate ISFS surface flux data, geographic coordinate, tilt corrected. Version 1.1

description: This dataset contains quality controlled, high-rate surface flux data collected by the Integrated Surface Flux System (ISFS) during the Perdigao field campaign. These data are in NetCDF format and the sonic winds have been corrected for boom orientation and tilt, and are thus rotated into a geographic coordinate system. The quality control proceedures and corrections applied to the data, as well as any uncorrectable issues are described in detail in the accompanying Data QC Report document. These data have been bundled into daily TAR archives and compressed using gzip. Each day of data is approximately 8 GB uncompressed.
DOI: 10.13140/rg.2.2.18213.36327
title: Статистическое приложение к статье о государственных пенсиях Statistical annex to the paper on Public Pensions
DOI: 10.26023/31gr-h228-a20q
title: NCAR/EOL ISS Surface Meteorology Data. Version 1.0

description: This dataset contains surface meteorology data collected by the NCAR/EOL Integrated Sounding System (ISS) Lufft WS800 that was located at the upper orange grove site in the center of the Vale do Cobrao at the Sounding Site during the Perdigao field project in 2017. This dataset includes 3m temperature, humidity, pressure, winds, and precipitation, collected every minute in NetCDF format. These data have been quality controlled.
DOI: 10.26023/8xfr-ajq1-6610
title: UV Hygrometer Data. Version 1.1

description: This dataset contains low rate (1sps) UVH observations collected aboard the NSF/NCAR C-130 during the WE-CAN project. Columns are Time (UTC seconds), Water Vapor mixing ratio (ppmv). Mixing ratio determined by fit of UVH signals to Aerodyne and Picarro (RF10 only) mixing ratios. No UVH data for flight RF14 and RF17.
DOI: 10.13140/rg.2.2.25238.82240
title: Anexo 1. Inventario actualizado de aves asociadas al agroecosistema cacao en Tabasco, México
DOI: 10.13140/rg.2.2.27755.40484
title: DZ STEPS Analysis of PERS035-1S4 149-1 67 Real World Data by the Persian Curve (PC) DZ STEP 07 PERSIAN QUANTILE COMPLETE
DOI: 10.26023/8v5y-gb2e-cx07
title: Ice Water Content from the Isokinetic Probe. Version 2.0

description: This dataset contains airborne in-situ measurements of ice water content from the Isokinetic probe (IKP2) from the High Ice Water Content (HIWC) Radar Study that took place in Fort Lauderdale, Florida; Palmdale, California; and Kona, Hawaii. The data are from the NASA DC-8 from the 10 flights that were flown during the project.
DOI: 10.13140/rg.2.2.21044.51847
title: Colombia: El silencio cómplice de Estados Unidos
DOI: 10.15468/dl.nygbgd
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geonoma longepedunculata)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 64 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036636-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vkz7et
title: Occurrence Download

description: A dataset containing 137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fibrocapsa japonica)",
 "Continent is Europe",
 "HasCoordinate is true",
 "BasisOfRecord is Human Observation"
 ]
}

 The dataset includes 137 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0036635-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26023/hn9y-hemx-3c0j
title: SOCRATES: Giant Cloud Condensation Nuclei (CCN) Impactor Data. Version 1.0

description: The NCAR/EOL/RAF Giant Cloud Condensation Nuclei Impactor (GNI) samples giant aerosol particles. This data set was acquired during the SOCRATES project. Slides were exposed in the free air stream onto uncoated polycarbonate microscope slides. The slides were analyzed in the NCAR/EOL/RAF GNI slide chamber, using a dual-optical microscope. Slides were inserted into the humidified chamber with a relative humidity of 89.8 %. The images were analyzed using an automated edge detection algorithm, and using spherical cap geometry to determine the solution drop volume. Subsequently, the equivalent dry NaCl equivalent radius was determined using the Kohler equation for concentrated solutions, specifically Pruppacher and Klett, 1978, eq. 6.26b, using a full chemical potential calculation.