cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n.1
title: 14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H, and canonical SMILES descriptor[cheminf_000007]: c1ccc2-c3ccccc3-c3c(Nc2c1)cccc3, and by the IUPAC name[cheminf_000107]: 14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-53487

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 232.0 (°C)
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000470 | mass spectrometry (MS)
 
 CHMO:0001150 | 1H--1H correlation spectroscopy (1H-1H COSY)
 
 CHMO:0001146 | 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
 
 CHMO:0002399 | 1H--13C heteronuclear multiple quantum coherence (13C-1H HMQC)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene)
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) (14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene)
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene)
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n/chmo0002399
title: 1H--13C heteronuclear multiple quantum coherence (13C-1H HMQC) (14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene)
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: dataset for 1H--13C heteronuclear multiple quantum coherence (13C-1H HMQC)
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n/chmo0000470
title: mass spectrometry (MS) (14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene)
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: dataset for mass spectrometry (MS)
DOI: 10.14272/imxomgswkluapz-uhfffaoysa-n/chmo0001146
title: 1H--13C heteronuclear single quantum coherence (1H-13C HSQC) (14-azatetracyclo[13.4.0.02,7.08,13]nonadeca-1(19),2,4,6,8,10,12,15,17-nonaene)
title: InChI=1S/C18H13N/c1-2-8-14-13(7-1)15-9-3-5-11-17(15)19-18-12-6-4-10-16(14)18/h1-12,19H

description: dataset for 1H--13C heteronuclear single quantum coherence (1H-13C HSQC)
DOI: 10.15468/dl.nrbuyz
title: Occurrence Download

description: A dataset containing 9137 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Aedes albopictus, Aedes aegypti)",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 9137 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014091-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7mmb5a
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tetraophasis obscurus, Tragopan melanocephalus, Tragopan satyra, Tragopan blythii, Lophophorus impejanus, Lophophorus sclateri, Lophophorus lhuysii, Polyplectron bicalcaratum, Pavo muticus, Ciconia nigra, Ciconia ciconia, Gypaetus barbatus, Aquila heliaca, Aquila chrysaetos, Haliaeetus leucoryphus, Haliaeetus albicilla, Macaca mulatta, Macaca thibetana, Ursus arctos, Ursus thibetanus, Ailurus fulgens, Martes flavigula, Martes foina, Aonyx cinereus, Lutra lutra, Prionodon pardicolor, Otocolobus manul, Lynx lynx, Cervus canadensis, Cervus equinus, Procapra picticaudata, Gazella subgutturosa, Pseudois nayaur, Ovis ammon, Capricornis milneedwardsii, Tetraogallus himalayensis, Tetraogallus tibetanus)",
 "HasCoordinate is true",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 {
 "not" : {
 "HasGeospatialIssue" : [
 "is true"
 ]
 }
 },
 "DecimalLongitude is greater than or equal to 89.5",
 "DecimalLongitude is less than or equal to 93",
 "DecimalLatitude is greater than or equal to 29",
 "DecimalLatitude is less than or equal to 31"
 ]
}

 The dataset includes 286 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014093-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vy6pcw
title: Occurrence Download

description: A dataset containing 3756 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Turdus merula)",
 "Geometry POLYGON((55.000000 4.000000, 150.000000 4.000000, 150.000000 73.000000, 55.000000 73.000000, 55.000000 4.000000))",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 3756 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014092-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vjay8a
title: Occurrence Download

description: A dataset containing 4578 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hymenolaimus malacorhynchos",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-180 -90, 180 -90, 180 90, -180 90, -180 -90))"
 ]
}

 The dataset includes 4578 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014095-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ghrt4h
title: Occurrence Download

description: A dataset containing 18679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina",
 "Country is Germany",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18679 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014096-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3334/cdiac/otg.tsm_gakoa_149w_60n
title: High-resolution ocean and atmosphere pCO2 time-series measurements from mooring GAKOA_149W_60N in the Gulf of Alaska (NCEI Accession 0116714)

description: This dataset includes chemical, meteorological, physical and time series data collected from Mooring GAKOA_149W_60N in the Gulf of Alaska from 2011-05-19 to 2025-03-05. These data include air-sea difference of partial pressure of carbon dioxide (pCO2), barometric pressure, oxygen, pCO2 in atmosphere, pCO2 in water, sea surface salinity, sea surface temperature and pH on total scale. The Moored Autonomous pCO2 (MAPCO2®) instruments used to collect these data include Bubble type equilibrator for autonomous carbon dioxide (CO2) measurement, Carbon dioxide (CO2) gas analyzer, Humidity Sensor, and oxygen meter. The Global CO2 Time-series and Moorings Project involves international groups from 18 countries who have mounted sensors on moored buoys to provide high resolution time-series measurements of atmospheric boundary layer and surface ocean CO2 partial pressure (pCO2). The CO2 Time-series and Moorings Project is coordinated by UNESCO International Ocean Carbon Coordination Project (IOCCP).
DOI: 10.15468/dl.87wnwa
title: Occurrence Download

description: A dataset containing 3396 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.18793 41.23996,13.71955 41.22148,13.73625 41.49927,13.20225 41.51785,13.18793 41.23996))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae",
 "Year 1990-2026"
 ]
}

 The dataset includes 3396 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014099-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57906/zdf3-kh51
title: Vacancy Survey - UK
DOI: 10.15468/dl.qdt72e
title: Occurrence Download

description: A dataset containing 7562 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7562 records from 250 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014097-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.11658214
title: Direct Numerical Simulations investigating Ice-Shelf--Ocean Boundary Layers in the well mixed regime: model output

description: Model output used in the publication:

L.-A. Couston, Turbulent ice-ocean boundary layers in the well-mixed regime: insights from direct numerical simulations. Journal of Physical Oceanography, in press (2024)



scalars-140624, profiles-140624, dissipationrate-140624 are post-processed simulation data.

last_X are full-volume field data in numpy array format extracted from checkpoint files obtained with the pseudo-spectral simulation code Dedalus (v3).


See README.md in public Github repository https://github.com/louiscouston/wellmixediobl-jpo2024 for a detailled description of the data and how-to-use instructions.
DOI: 10.5281/zenodo.11658213
title: Direct Numerical Simulations investigating Ice-Shelf--Ocean Boundary Layers in the well mixed regime: model output

description: Model output used in the publication:

L.-A. Couston, Turbulent ice-ocean boundary layers in the well-mixed regime: insights from direct numerical simulations. Journal of Physical Oceanography, in press (2024)



scalars-140624, profiles-140624, dissipationrate-140624 are post-processed simulation data.

last_X are full-volume field data in numpy array format extracted from checkpoint files obtained with the pseudo-spectral simulation code Dedalus (v3).


See README.md in public Github repository https://github.com/louiscouston/wellmixediobl-jpo2024 for a detailled description of the data and how-to-use instructions.
DOI: 10.5281/zenodo.14883596
title: A training dataset for semantic similarity of requirements

description: A training dataset for semantic similarity of requirements. Requirements are understood as semantically similar when two requirements describe elements of the same software functionality.

This dataset contains the sentence corresponding to the requirement and the label corresponding to the software functionality.
DOI: 10.5281/zenodo.14883595
title: A training dataset for semantic similarity of requirements

description: A training dataset for semantic similarity of requirements. Requirements are understood as semantically similar when two requirements describe elements of the same software functionality.

This dataset contains the sentence corresponding to the requirement and the label corresponding to the software functionality.
DOI: 10.15468/dl.xqzycp
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sturnus sericeus)",
 "Geometry POLYGON((55.000000 4.000000, 150.000000 4.000000, 150.000000 73.000000, 55.000000 73.000000, 55.000000 4.000000))",
 "Month is one of (May, June, July)",
 "Year is greater than or equal to 2014",
 "Year is less than or equal to 2024",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Observation)"
 ]
}

 The dataset includes 8 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014100-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18246082
title: The raw hailstone growth trajectory for Global hailstone under historical and future scenarios (Part 3)

description: For any inquiries regarding the data, please contact 2301110296@stu.pku.edu.cn directly.

The hail growth dataset contains four primary variables: (i) r_traj, representing the evolution of hail radius (in meters, denoting radius); (ii) t_traj, denoting hail growth time, which should be multiplied by 0.5; (iii) x_traj, describing the hail trajectory along the x-axis (approximately the zonal direction); and (iv) y_traj, describing the hail trajectory along the y-axis (approximately the meridional direction). In addition, the dataset includes three auxiliary parameters: h_int, indicating the initial height of hailstones; r_int, the initial growth radius; and w_perc, a parameter determining the initial location, with larger values indicating positions closer to the convective core.

The hail growth trajectory dataset is restricted to severe hail events with maximum updraft speeds greater than 5 m s⁻¹, and consequently, the number of events differs among scenarios.

Because the original data are very large, they have been compressed. For Windows systems, one rounds of decompression are required (using software such as Bandizip or 7-Zip). For Linux systems, the files can be extracted with the command 7z filename.7z.

The whole dataset has been divided into four parts. The third part contains hail growth trajectories corresponding to the SSP2-45 and SSP3-70 scenarios of ensemble-mean simulation of MPI-ESM1-2-LR.
DOI: 10.5281/zenodo.18246083
title: The raw hailstone growth trajectory for Global hailstone under historical and future scenarios (Part 3)

description: For any inquiries regarding the data, please contact 2301110296@stu.pku.edu.cn directly.

The hail growth dataset contains four primary variables: (i) r_traj, representing the evolution of hail radius (in meters, denoting radius); (ii) t_traj, denoting hail growth time, which should be multiplied by 0.5; (iii) x_traj, describing the hail trajectory along the x-axis (approximately the zonal direction); and (iv) y_traj, describing the hail trajectory along the y-axis (approximately the meridional direction). In addition, the dataset includes three auxiliary parameters: h_int, indicating the initial height of hailstones; r_int, the initial growth radius; and w_perc, a parameter determining the initial location, with larger values indicating positions closer to the convective core.

The hail growth trajectory dataset is restricted to severe hail events with maximum updraft speeds greater than 5 m s⁻¹, and consequently, the number of events differs among scenarios.

Because the original data are very large, they have been compressed. For Windows systems, one rounds of decompression are required (using software such as Bandizip or 7-Zip). For Linux systems, the files can be extracted with the command 7z filename.7z.

The whole dataset has been divided into four parts. The third part contains hail growth trajectories corresponding to the SSP2-45 and SSP3-70 scenarios of ensemble-mean simulation of MPI-ESM1-2-LR.
DOI: 10.15468/dl.jugbz7
title: Occurrence Download

description: A dataset containing 6646 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus serotina",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6646 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014102-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5c24tgx
title: Oceanographic data and information collected during the EX1605L3 (CAPSTONE CNMI & Mariana Trench MNM (ROV & Mapping)) expedition on NOAA Ship OKEANOS EXPLORER in the North Pacific Ocean from 2016-06-17 to 2016-07-10 (NCEI Accession 0156334)

description: This dataset contains oceanographic data collected in the deep water areas around the Commonwealth of the Northern Marianas Islands (CNMI). Operations for this cruise included ROV, mapping, telepresence-based remote participation, and CTD rosette operations. Operations also used the ship’s deep water mapping systems, NOAA’s two-body 6000 m remotely operated vehicle, and the ship’s high-bandwidth satellite connection for real-time ship to shore communications. Daytime ROV dives were planned every day and included high-resolution visual surveys and limited rock and biologic specimen sampling. Mapping operations were conducted overnight when the ROV was on deck and CTD casts were taken to collect more environmental information at sites of interest. Exploration operations for this cruise focused on deep-water areas around CNMI and the Marianas Trench Marine National Monument (MTMNM). This expedition helped establish a baseline of information in the region to catalyze further exploration, research, and management activities.
DOI: 10.5281/zenodo.17103134
title: The raw hailstone growth trajectory for Global hailstone under historical and future scenarios (Part 1)

description: For any inquiries regarding the data, please contact 2301110296@stu.pku.edu.cn directly.

The hail growth dataset contains four primary variables: (i) r_traj, representing the evolution of hail radius (in millimeters, denoting radius); (ii) t_traj, denoting hail growth time, which should be multiplied by 0.5; (iii) x_traj, describing the hail trajectory along the x-axis (approximately the zonal direction); and (iv) y_traj, describing the hail trajectory along the y-axis (approximately the meridional direction). In addition, the dataset includes three auxiliary parameters: h_int, indicating the initial height of hailstones; r_int, the initial growth radius; and w_perc, a parameter determining the initial location, with larger values indicating positions closer to the convective core.

The hail growth trajectory dataset is restricted to severe hail events with maximum updraft speeds greater than 5 m s⁻¹, and consequently, the number of events differs among scenarios.

Because the original data are very large, they have been compressed. For Windows systems, one rounds of decompression are required (using software such as Bandizip or 7-Zip). For Linux systems, the files can be extracted with the command 7z filename.7z.

Owing to storage constraints on the repository, the dataset has been divided into two parts. The first part contains hail growth trajectories corresponding to the HIST simulation based on sounding from ERA-5 dataset and SSP2-45 scenarios of ensemble-mean simulation of EC-Earth3.
DOI: 10.5281/zenodo.18152366
title: The raw hailstone growth trajectory for Global hailstone under historical and future scenarios (Part 1)

description: For any inquiries regarding the data, please contact 2301110296@stu.pku.edu.cn directly.

The hail growth dataset contains four primary variables: (i) r_traj, representing the evolution of hail radius (in millimeters, denoting radius); (ii) t_traj, denoting hail growth time, which should be multiplied by 0.5; (iii) x_traj, describing the hail trajectory along the x-axis (approximately the zonal direction); and (iv) y_traj, describing the hail trajectory along the y-axis (approximately the meridional direction). In addition, the dataset includes three auxiliary parameters: h_int, indicating the initial height of hailstones; r_int, the initial growth radius; and w_perc, a parameter determining the initial location, with larger values indicating positions closer to the convective core.

The hail growth trajectory dataset is restricted to severe hail events with maximum updraft speeds greater than 5 m s⁻¹, and consequently, the number of events differs among scenarios.

Because the original data are very large, they have been compressed. For Windows systems, one rounds of decompression are required (using software such as Bandizip or 7-Zip). For Linux systems, the files can be extracted with the command 7z filename.7z.

Owing to storage constraints on the repository, the dataset has been divided into two parts. The first part contains hail growth trajectories corresponding to the HIST simulation based on sounding from ERA-5 dataset and SSP2-45 scenarios of ensemble-mean simulation of EC-Earth3.
DOI: 10.5281/zenodo.18267828
title: Integration of distal tibial shape and internal trabecular bone structure among catarrhine primates
DOI: 10.15468/dl.fve5g4
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abies alba",
 "Geometry POLYGON((-31 27,-31 72,45 72,45 27,-31 27))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014016-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t7tuvn
title: Occurrence Download

description: A dataset containing 115 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Haemaphysalis concinna",
 "Year 2015-2025"
 ]
}

 The dataset includes 115 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014106-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.