cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18317407
title: Verbena officinalis var. gracilescens Cham. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.15468/dl.eruwhw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.751 -0.9928169999999999, 101.680726 -0.998383, 101.612182 -1.014945, 101.547055 -1.042094, 101.486947 -1.079163, 101.433338 -1.125238, 101.387549 -1.179186, 101.350705 -1.23968, 101.323716 -1.305229, 101.307246 -1.37422, 101.3017 -1.444955, 101.307218 -1.515692, 101.323664 -1.58469, 101.350634 -1.650249, 101.387464 -1.710754, 101.43325 -1.764716, 101.486863 -1.810805, 101.546983 -1.847886, 101.61213 -1.875045, 101.680699 -1.891613, 101.751 -1.897181, 101.821301 -1.891613, 101.88987 -1.875045, 101.955017 -1.847886, 102.015137 -1.810805, 102.06875 -1.764716, 102.114536 -1.710754, 102.151366 -1.650249, 102.178336 -1.58469, 102.194782 -1.515692, 102.2003 -1.444955, 102.194754 -1.37422, 102.178284 -1.305229, 102.151295 -1.23968, 102.114451 -1.179186, 102.068662 -1.125238, 102.015053 -1.079163, 101.954945 -1.042094, 101.889818 -1.014945, 101.821274 -0.998383, 101.751 -0.9928169999999999))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000265-260120142942310/datasets/export for details.
DOI: 10.15468/dl.umdg35
title: Occurrence Download

description: A dataset containing 196378 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Türkiye, Greece, Iran (Islamic Republic of), Russian Federation, Azerbaijan, Belarus, Ukraine, Armenia, Turkmenistan, Kazakhstan, Georgia, Libya, Israel, Lebanon, Iraq, Syrian Arab Republic, Palestine, State of, Jordan, Afghanistan, Saudi Arabia, Egypt, Tunisia, Algeria, Morocco, Albania, Kosovo, Serbia, Bosnia and Herzegovina, Slovenia, Croatia, Moldova, Republic of)",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinopsida"
 ]
}

 The dataset includes 196378 records from 538 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000190-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18317414
title: Sporobolus platensis Parodi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18317402
title: JEPEX-QNN: A Conceptual Framework and Experimental Validation Proposal for Coherence and Bloch Geometry Analysis Using Synthetic Reference Signals}
DOI: 10.5281/zenodo.18317403
title: JEPEX-QNN: A Conceptual Framework and Experimental Validation Proposal for Coherence and Bloch Geometry Analysis Using Synthetic Reference Signals}
DOI: 10.5281/zenodo.18317413
title: Sporobolus platensis Parodi. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.15468/dl.5zvwtx
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sepedon noteoi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 90 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000266-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6dcank
title: Occurrence Download

description: A dataset containing 58371 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus tremuloides"
 ]
}

 The dataset includes 58371 records from 405 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000218-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38hsdv
title: Occurrence Download

description: A dataset containing 606777 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "Year 2024-2024"
 ]
}

 The dataset includes 606777 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000185-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88hsue
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.494 2.527177, 103.423669 2.521609, 103.355072 2.50504, 103.289899 2.477879, 103.229755 2.440796, 103.176123 2.394704, 103.130324 2.34074, 103.093483 2.280232, 103.066509 2.214671, 103.050063 2.145673, 103.04455 2.074936, 103.050103 2.004202, 103.066584 1.935212, 103.093587 1.869666, 103.130445 1.809175, 103.176251 1.75523, 103.229877 1.709158, 103.290002 1.672092, 103.355147 1.644946, 103.423709 1.628386, 103.494 1.62282, 103.564291 1.628386, 103.632853 1.644946, 103.697998 1.672092, 103.758123 1.709158, 103.811749 1.75523, 103.857555 1.809175, 103.894413 1.869666, 103.921416 1.935212, 103.937897 2.004202, 103.94345 2.074936, 103.937937 2.145673, 103.921491 2.214671, 103.894517 2.280232, 103.857676 2.34074, 103.811877 2.394704, 103.758245 2.440796, 103.698101 2.477879, 103.632928 2.50504, 103.564331 2.521609, 103.494 2.527177))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 11 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000268-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/a7jw-pn16
title: NOAA/WDS Paleoclimatology - Tyers - Mill Lodge Farm, Great Ryburgh - QUSP - ITRDB BRIT101

description: This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of United Kingdom, British Isles. The time period coverage is from 1679 to 1674 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.25921/p09j-aw54
title: NOAA/WDS Paleoclimatology - Equatorial Pacific Foraminifer Isotope Data from the Pliocene to the Pleistocene

description: This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoceanography. The data include parameters of paleoceanography with a geographic location of Pacific Ocean. The time period coverage is from 58000 to -43 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.25921/kwc4-bk50
title: NOAA/WDS Paleoclimatology - Radiocarbon and Carbon and Nitrogen Stable Isotopes in Gorgonian Sea Fan Corals from the Southern California Bight

description: This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Coral. The data include parameters of corals and sclerosponges with a geographic location of Eastern Pacific Ocean. The time period coverage is from 1968 to 2014 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.25921/7wq1-0t56
title: NOAA/WDS Paleoclimatology - Lhotka - Humiston Woods Nature Center - QUAL - ITRDB IL033

description: This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Tree Ring. The data include parameters of tree ring with a geographic location of Illinois, United States Of America. The time period coverage is from 99 to -61 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.25921/z9er-1871
title: NOAA/WDS Paleoclimatology - Ligurian Sea Grain Size, Foraminiferal, and Geochemistry Data over the last 18,000 years

description: This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Paleoceanography. The data include parameters of paleoceanography with a geographic location of Mediterranean Sea, North Atlantic Ocean. The time period coverage is from 18055 to -39 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
DOI: 10.6084/m9.figshare.31099813.v1
title: Supplementary data of<b> OpenSeed: Towards an open-source seed image analysis ecosystem</b>

description: The supplementary data of <b>OpenSeed: Towards an open-source seed image analysis ecosystem</b>This repository contains the following data files:SI-1.xlsx: Detailed class-wise confusion matrices of scratch-trained models.SI-2.xlsx: Error predictions for each scratch-trained models.SI-3.xlsx: Detailed class-wise confusion matrices of pre-trained models.SI-4.xlsx: Error predictions for each pre-trained models.SI-5.xlsx: Dataset description file, contains the scientific species name and corresponding ratio.SI-OpenSeed: A running demo of OpenSeed application developed in this study.SI-ZLabel: Data labeling process via ZLabel software developed in this study.images.tar.xz: Seed image dataset without background created in this study.images_with_bg.tar.xz: Seed image dataset with background.model weights.7z: Scratch-trained and pre-trained model weights in ONNX format.Labels are keeping private during peer-review, will be published until accepted.<br>
DOI: 10.6084/m9.figshare.31099813
title: Supplementary data of<b> OpenSeed: Towards an open-source seed image analysis ecosystem</b>

description: The supplementary data of <b>OpenSeed: Towards an open-source seed image analysis ecosystem</b>This repository contains the following data files:SI-1.xlsx: Detailed class-wise confusion matrices of scratch-trained models.SI-2.xlsx: Error predictions for each scratch-trained models.SI-3.xlsx: Detailed class-wise confusion matrices of pre-trained models.SI-4.xlsx: Error predictions for each pre-trained models.SI-5.xlsx: Dataset description file, contains the scientific species name and corresponding ratio.SI-OpenSeed: A running demo of OpenSeed application developed in this study.SI-ZLabel: Data labeling process via ZLabel software developed in this study.images.tar.xz: Seed image dataset without background created in this study.images_with_bg.tar.xz: Seed image dataset with background.model weights.7z: Scratch-trained and pre-trained model weights in ONNX format.Labels are keeping private during peer-review, will be published until accepted.<br>
DOI: 10.15468/dl.ecm9uq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Abramis brama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1810",
 "Year is less than or equal to 1814"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000272-260120142942310/datasets/export for details.
DOI: 10.15468/dl.qn5nhr
title: Occurrence Download

description: A dataset containing 15411 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is Records of amphibians and reptiles via iRecord",
 "Issue is Continent derived from coordinates",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "PublishingOrg is d4b5490a-3267-4e96-94b3-9b93ea167051",
 "TaxonKey is Rana temporaria",
 "Year 2021-2025"
 ]
}

 The dataset includes 15411 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000271-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4zp2tq
title: Occurrence Download

description: A dataset containing 19618 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Eurycea bislineata",
 "Country is United States of America",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 19618 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000273-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18317431
title: Zephyranthes minima Herb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18317432
title: Zephyranthes minima Herb. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18317437
title: Stizolobium P.Browne. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18317438
title: Stizolobium P.Browne. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:55
DOI: 10.5281/zenodo.18317444
title: Trixis ochroleuca (Cass.) Hook. & Arn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5066/p13gjeyw
title: Input and Output files from the Zonebudget program used with MODFLOW models to compute regional groundwater budgets for the Virginia Coastal Plain aquifer system

description: This data release contains results from annual water budgets computed for two groundwater-flow models of the Virginia Coastal Plain published by the Virginia Department of Environmental Quality (Virginia Department of Environmental Quality, 2020, 2024a and 2024b). Both models simulated historical withdrawals from approximately 1900 to 2023 and projected withdrawal conditions to 2073. Decades of substantial groundwater withdrawals from the Virginia Coastal Plain aquifer system have altered the groundwater-flow system from pre-development conditions which has the potential to threaten groundwater resources for current and future water users by depleting aquifer storage. Computation of detailed groundwater budgets enables quantification and better understanding of this important resource for current and future management and development. This U.S. Geological Survey data release contains the input and output files for the water-budget analyses using the U.S. Geological Survey ZONEBUDET program (Harbaugh, 2009) for the eight simulations described in the associated report (https://doi.org/10.31223/X5HB5D).
DOI: 10.5281/zenodo.18317443
title: Trixis ochroleuca (Cass.) Hook. & Arn. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18317455
title: Trixis lorentzii Hieron. ex Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18317456
title: Trixis lorentzii Hieron. ex Arechav. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.15468/dl.crv3r4
title: Occurrence Download

description: A dataset containing 508174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "Year 2023-2023"
 ]
}

 The dataset includes 508174 records from 47 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000222-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18317466
title: Verbena gracilescens (Cham.) Herter. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.5281/zenodo.18317469
title: weecology/EvergladesWadingBird: 2.20.0

description: v2.20.0
DOI: 10.5281/zenodo.18317465
title: Verbena gracilescens (Cham.) Herter. In: Marchesi E., Mailhos A. & Bonifacino J.M. (Eds.). Flora Uruguaya: Flora Vascular del Uruguay. ISSN 3121-2050, V. 1.0.

description: Citable snapshot. Includes PDF and CSV of collections. Date: January 13th, 2026 at 16:56
DOI: 10.6084/m9.figshare.31100365
title: Code repository: Measure Less, Map More: Using Machine Learning, Physiography, and Prior Depth Maps to Extrapolate In-Swath Snow Depth Measurements Across Mountain Basins

description: This is the code repository for the paper, Measure Less, Map More: Using Machine Learning, Physiography, and Prior Depth Maps to Extrapolate In-Swath Snow Depth Measurements Across Mountain Basins, submitted to GRL. Abstract: Basin-wide snow depth maps support operational water supply assessments, but their availability is limited by measurement costs (airborne) or sampling constraints (satellite, drone). We present Swath-RF, a methodology that trains random forests on snow depth measured within a narrow swath (&lt;10% of a basin) to extrapolate basin-wide depths. Using 68 lidar surveys from eight basins in Colorado and California, we evaluate two predictor cases: (a) physiography plus prior full-basin snow-depth maps, and (b) physiography alone. For the first case, Swath-RF with 2-km-wide swaths reproduces basin-wide depth with low extrapolation bias (~0.02 m) and RMSE (~0.2 m), and represents snow volume across topographic gradients and across dissimilar years. Errors are 2-3 times larger when using physiography alone. For swath widths from 0.05 to 8 km, spanning satellite-, drone-, and airborne-like sampling, errors decrease with width. Swath-RF enables basin-wide mapping more frequently or across more basins, but at the cost of accuracy.
DOI: 10.6084/m9.figshare.31100365.v1
title: Code repository: Measure Less, Map More: Using Machine Learning, Physiography, and Prior Depth Maps to Extrapolate In-Swath Snow Depth Measurements Across Mountain Basins

description: This is the code repository for the paper, Measure Less, Map More: Using Machine Learning, Physiography, and Prior Depth Maps to Extrapolate In-Swath Snow Depth Measurements Across Mountain Basins, submitted to GRL. Abstract: Basin-wide snow depth maps support operational water supply assessments, but their availability is limited by measurement costs (airborne) or sampling constraints (satellite, drone). We present Swath-RF, a methodology that trains random forests on snow depth measured within a narrow swath (&lt;10% of a basin) to extrapolate basin-wide depths. Using 68 lidar surveys from eight basins in Colorado and California, we evaluate two predictor cases: (a) physiography plus prior full-basin snow-depth maps, and (b) physiography alone. For the first case, Swath-RF with 2-km-wide swaths reproduces basin-wide depth with low extrapolation bias (~0.02 m) and RMSE (~0.2 m), and represents snow volume across topographic gradients and across dissimilar years. Errors are 2-3 times larger when using physiography alone. For swath widths from 0.05 to 8 km, spanning satellite-, drone-, and airborne-like sampling, errors decrease with width. Swath-RF enables basin-wide mapping more frequently or across more basins, but at the cost of accuracy.
DOI: 10.14272/jhpceaukljcaff-uhfffaoysa-h/chmo0000604
title: heteronuclear single quantum coherence (HSQC) ()
title: InChI=1S/C22H23.6ClH.Sb/c1-3-20-15(2)22(20)21-14-18-9-8-16-4-6-17(7-5-16)10-12-19(21)13-11-18;;;;;;;/h4-7,11,13-14H,3,8-10,12H2,1-2H3;6*1H;/q+1;;;;;;;+5/p-6

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/jhpceaukljcaff-uhfffaoysa-h/chmo0000292
title: ultraviolet-visible spectrophotometry (UV-VIS) ()
title: InChI=1S/C22H23.6ClH.Sb/c1-3-20-15(2)22(20)21-14-18-9-8-16-4-6-17(7-5-16)10-12-19(21)13-11-18;;;;;;;/h4-7,11,13-14H,3,8-10,12H2,1-2H3;6*1H;/q+1;;;;;;;+5/p-6

description: dataset for ultraviolet-visible spectrophotometry (UV-VIS)
DOI: 10.14272/jhpceaukljcaff-uhfffaoysa-h/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) ()
title: InChI=1S/C22H23.6ClH.Sb/c1-3-20-15(2)22(20)21-14-18-9-8-16-4-6-17(7-5-16)10-12-19(21)13-11-18;;;;;;;/h4-7,11,13-14H,3,8-10,12H2,1-2H3;6*1H;/q+1;;;;;;;+5/p-6

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
DOI: 10.14272/jhpceaukljcaff-uhfffaoysa-h/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) ()
title: InChI=1S/C22H23.6ClH.Sb/c1-3-20-15(2)22(20)21-14-18-9-8-16-4-6-17(7-5-16)10-12-19(21)13-11-18;;;;;;;/h4-7,11,13-14H,3,8-10,12H2,1-2H3;6*1H;/q+1;;;;;;;+5/p-6

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/jhpceaukljcaff-uhfffaoysa-h/chmo0002337
title: electrospray ionisation quadrupole detection (ESI Q Trap) ()
title: InChI=1S/C22H23.6ClH.Sb/c1-3-20-15(2)22(20)21-14-18-9-8-16-4-6-17(7-5-16)10-12-19(21)13-11-18;;;;;;;/h4-7,11,13-14H,3,8-10,12H2,1-2H3;6*1H;/q+1;;;;;;;+5/p-6

description: dataset for electrospray ionisation quadrupole detection (ESI Q Trap)