cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25532/opara-891
title: Supplementary Material to the PhD Thesis "Microscopic investigations of the fiber architecture of the human tympanic membrane"

description: The Supplementary Material to the PhD Thesis "Microscopic investigations of the fiber architecture of the human tympanic membrane" contains volumetric raw data and additional videos and images which were created in the course of ex vivo investigations on human tympanic membranes with various optical imaging methods, i.e., polarization-sensitive optical coherence tomography (PS-OCT), second harmonic generation microscopy (SHG) and polarized light microscopy (PLM). Chapter 5 of the dissertation provides a detailed description of the investigations.
DOI: 10.48511/gfr5sbh5
title: Baynes Lake Level

description: This dataset contains lake level data for Baynes Lake level logger. This site is part of the Living Lakes Canada Columbia Basin Water Monitoring Framework program (CBWMF). The CBWMF is a coordinated monitoring network that tracks how climate change and other impacts are affecting water supply for communities and ecosystems across the Canadian Columbia Basin region. Baynes Lake was selected for monitoring due to community concerns about decreasing water levels. Monitoring has been implemented on this site. Data will be added soon.
DOI: 10.15468/dl.hpcfut
title: Occurrence Download

description: A dataset containing 44906 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.87912 26.06873,-102.66278 26.06873,-102.66278 26.95461,-104.87912 26.95461,-104.87912 26.06873))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 44906 records from 242 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015425-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15047449
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2013 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2013 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047450
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2013 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2013 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047451
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2014 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2014 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047452
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2014 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2014 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.15468/dl.ssbtyt
title: Occurrence Download

description: A dataset containing 45217 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.63628 26.04048,-102.38685 26.04048,-102.38685 26.93959,-104.63628 26.93959,-104.63628 26.04048))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 45217 records from 246 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015426-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m5bmqj
title: Occurrence Download

description: A dataset containing 42133 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.78182 26.08132,-102.65844 26.08132,-102.65844 26.93004,-104.78182 26.93004,-104.78182 26.08132))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1600-2025"
 ]
}

 The dataset includes 42133 records from 219 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015427-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvkymz
title: Occurrence Download

description: A dataset containing 49644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.15189 25.98625,-102.56209 25.98625,-102.56209 27.02149,-105.15189 27.02149,-105.15189 25.98625))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 49644 records from 280 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015428-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15047458
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2015 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2015 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047459
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2015 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2015 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.48511/jkievp57
title: Fairmont Creek Hydrometric (CKHFAR01H)

description: This dataset contains hydrometric and water temperature data for Fairmont Creek hydrometric station. This site is part of the Living Lakes Canada Columbia Basin Water Monitoring Framework program (CBWMF). The CBWMF is a coordinated monitoring network that tracks how climate change and other impacts are affecting water supply for communities and ecosystems across the Canadian Columbia Basin region. Fairmont Creek was selected for monitoring debris flows and sedimentation in response to requests from community members and local government. The data is being collected to track the impacts of climate change on Columbia Basin water supply and support community climate adaptation. Monitoring has been implemented on this site. Data will be added soon.
DOI: 10.5281/zenodo.15047461
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2016 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2016 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047462
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2016 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2016 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.15468/dl.gr5zfz
title: Occurrence Download

description: A dataset containing 43622 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.57341 26.10792,-102.50314 26.10792,-102.50314 26.93603,-104.57341 26.93603,-104.57341 26.10792))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 43622 records from 227 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015432-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mt4muy
title: Occurrence Download

description: A dataset containing 41955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.89910 26.07304,-102.73214 26.07304,-102.73214 26.93982,-104.89910 26.93982,-104.89910 26.07304))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 1600-2025"
 ]
}

 The dataset includes 41955 records from 222 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015434-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15047463
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2017 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2017 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047464
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2017 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2017 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047467
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2018 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2018 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.5281/zenodo.15047468
title: EPA CAMPD (Clean Air Markets Program Data) emission data: Daily emissions for 2018 by quarter

description: This dataset contains EPA CAMPD (Clean Air Markets Program Data) daily emissions data for 2018 by quarter. It includes detailed information on emissions for the specified period. The data was collected from the EPA CAMPD system and is intended for use in environmental analysis and reporting in February 2025.
DOI: 10.15468/dl.hw7cfr
title: Occurrence Download

description: A dataset containing 47486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-104.62006 26.13410,-102.39265 26.13410,-102.39265 27.11179,-104.62006 27.11179,-104.62006 26.13410))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 47486 records from 255 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015433-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14272/sa-fuhff-uhfffadpsc-lpekggxmpw-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.5
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-LPEKGGXMPW-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.17632/cv6tvb5wck
title: Java Plum Leaf Dataset from Bangladesh

description: The Java Plum Leaf Dataset is a comprehensive collection of high-quality images of java plum leaf, systematically gathered from Amil Model Town in Ashulia, Savar, Dhaka, Bangladesh, between October 01, 2025, and October 20, 2025. The dataset consists of ten distinct classes: Abnormal, Anthracnose, Cutting, Dry, Healthy, Leaf_Blight, Leaf_Spot, Sooty_Mold, Ant_Affect and Powdery_Mildew which represent various stages of both diseased and healthy conditions in java plum leaf. The total dataset contains 2,940 images, with class-wise distribution as follows: Abnormal (320 images), Ant_Affect (335 images), Anthracnose (338 images), Cutting ( 356 images) ,Healthy Leaf (297 images), Dry Leaf (328 images), Leaf_Blight(336 images), Powdery_Mildew (316 images), Sooty_Mold (211 images) and Leaf Spot (106 images). The images were captured using the iphone 15 pro max smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images were captured in jpg format at a resolution of 6048 × 8064 pixels, later resized to 480 × 640 pixels with a resolution of 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners focused on plant disease classification and early disease detection in java plum trees. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology analysis, where understanding leaf conditions can play a critical role in improving crop health management strategies.
DOI: 10.14272/sa-fuhff-uhfffadpsc-qpkoborkph-uhfffadpsc-nuhff-nuhff-nuhff-zzz/bfo0000015
title: process
title: reaction/SA-FUHFF-UHFFFADPSC-QPKOBORKPH-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for process
DOI: 10.17632/cv6tvb5wck.2
title: Java Plum Leaf Dataset from Bangladesh

description: The Java Plum Leaf Dataset is a comprehensive collection of high-quality images of java plum leaf, systematically gathered from Amil Model Town in Ashulia, Savar, Dhaka, Bangladesh, between October 01, 2025, and October 20, 2025. The dataset consists of ten distinct classes: Abnormal, Anthracnose, Cutting, Dry, Healthy, Leaf_Blight, Leaf_Spot, Sooty_Mold, Ant_Affect and Powdery_Mildew which represent various stages of both diseased and healthy conditions in java plum leaf. The total dataset contains 2,940 images, with class-wise distribution as follows: Abnormal (320 images), Ant_Affect (335 images), Anthracnose (338 images), Cutting ( 356 images) ,Healthy Leaf (297 images), Dry Leaf (328 images), Leaf_Blight(336 images), Powdery_Mildew (316 images), Sooty_Mold (211 images) and Leaf Spot (106 images). The images were captured using the iphone 15 pro max smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images were captured in jpg format at a resolution of 6048 × 8064 pixels, later resized to 480 × 640 pixels with a resolution of 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners focused on plant disease classification and early disease detection in java plum trees. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology analysis, where understanding leaf conditions can play a critical role in improving crop health management strategies.
DOI: 10.17632/n735p2mzfy
title: BDHogPlumLeaf (Deshi_Amra) : Dataset of Hog Plum Leaf Disease Variations from Bangladesh for Plant Health Research

description: The Hog Plum Leaf Disease Dataset is a comprehensive collection of high-quality images of hog tree leaves, systematically gathered from Sylhet, Bangladesh, between September 03, 2025, and October 10, 2025.Here 3 students from RTM Al Kabir Technical University under the supervision of Md. Samiul Alim (Lecturer, RTM Al Kabir Technical University) and one student from Daffodil International University. The dataset consists of six distinct classes: Anthracnose, Dry, Healthy, Leaf Blight, Cutting and Deficiency, which represent various stages of both diseased and healthy conditions in hog plum tree leaves. The total dataset contains 2,755 images, with class-wise distribution as follows: Anthracnose (414 images), Dry (426 images), Healthy Leaf (403 images), Deficiency (429 images), Leaf_Blight(434 images) and Cutting (649 images). The images were captured using the Samsung galaxy A12 smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images were captured in jpg format at a resolution of 2250 × 4000 pixels, later resized to 480 × 640 pixels with a resolution of 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners focused on plant disease classification and early disease detection in hog pulm trees. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology analysis, where understanding leaf conditions can play a critical role in improving crop health management strategies.
DOI: 10.14272/sa-fuhff-uhfffadpsc-lpekggxmpw-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.11
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-LPEKGGXMPW-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.14272/sa-fuhff-uhfffadpsc-lpekggxmpw-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.9
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-LPEKGGXMPW-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.17632/n735p2mzfy.2
title: BDHogPlumLeaf (Deshi_Amra) : Dataset of Hog Plum Leaf Disease Variations from Bangladesh for Plant Health Research

description: The Hog Plum Leaf Disease Dataset is a comprehensive collection of high-quality images of hog tree leaves, systematically gathered from Sylhet, Bangladesh, between September 03, 2025, and October 10, 2025.Here 3 students from RTM Al Kabir Technical University under the supervision of Md. Samiul Alim (Lecturer, RTM Al Kabir Technical University) and one student from Daffodil International University. The dataset consists of six distinct classes: Anthracnose, Dry, Healthy, Leaf Blight, Cutting and Deficiency, which represent various stages of both diseased and healthy conditions in hog plum tree leaves. The total dataset contains 2,755 images, with class-wise distribution as follows: Anthracnose (414 images), Dry (426 images), Healthy Leaf (403 images), Deficiency (429 images), Leaf_Blight(434 images) and Cutting (649 images). The images were captured using the Samsung galaxy A12 smartphone in natural lighting conditions, ensuring high resolution and clarity. The original images were captured in jpg format at a resolution of 2250 × 4000 pixels, later resized to 480 × 640 pixels with a resolution of 72 dpi to standardize the dataset. Although the dataset does not include annotations, it serves as a valuable resource for researchers and machine learning practitioners focused on plant disease classification and early disease detection in hog pulm trees. This dataset is particularly relevant for applications in precision agriculture and automated plant pathology analysis, where understanding leaf conditions can play a critical role in improving crop health management strategies.
DOI: 10.14272/sa-fuhff-uhfffadpsc-lpekggxmpw-uhfffadpsc-nuhff-nuhff-nuhff-zzz/chmo0000593.10
title: 1H nuclear magnetic resonance spectroscopy (1H NMR)
title: reaction/SA-FUHFF-UHFFFADPSC-LPEKGGXMPW-UHFFFADPSC-NUHFF-NUHFF-NUHFF-ZZZ

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
DOI: 10.17632/w3wwr2s48k
title: ENSO Central Mexico

description: Historical time series in Michocan, and groundwater levels.
DOI: 10.17632/w3wwr2s48k.1
title: ENSO Central Mexico

description: Historical time series in Michocan, and groundwater levels.
DOI: 10.14272/vkarkqynuzqzdc-uhfffaoysa-n/chmo0000482
title: electrospray ionisation mass spectrometry (ESMS) ()
title: InChI=1S/C15H34N6/c1-18(2)14(19(3)4)16-12-10-9-11-13-17-15(20(5)6)21(7)8/h9-13H2,1-8H3

description: dataset for electrospray ionisation mass spectrometry (ESMS)
DOI: 10.14272/vkarkqynuzqzdc-uhfffaoysa-n.1
title: TMG2pe
title: InChI=1S/C15H34N6/c1-18(2)14(19(3)4)16-12-10-9-11-13-17-15(20(5)6)21(7)8/h9-13H2,1-8H3

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/C15H34N6/c1-18(2)14(19(3)4)16-12-10-9-11-13-17-15(20(5)6)21(7)8/h9-13H2,1-8H3, and canonical SMILES descriptor[cheminf_000007]: CN(C(=NCCCCCN=C(N(C)C)N(C)C)N(C)C)C, and by the IUPAC name[cheminf_000107]: .
 
 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-50930

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 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:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000630 | infrared absorption spectroscopy (IR)
 
 CHMO:0000482 | electrospray ionisation mass spectrometry (ESMS)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 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/vkarkqynuzqzdc-uhfffaoysa-n/chmo0000630
title: infrared absorption spectroscopy (IR) ()
title: InChI=1S/C15H34N6/c1-18(2)14(19(3)4)16-12-10-9-11-13-17-15(20(5)6)21(7)8/h9-13H2,1-8H3

description: dataset for infrared absorption spectroscopy (IR)
DOI: 10.5517/cc3f70r
title: CCDC 102083: Experimental Crystal Structure Determination

description: Related Article: I.Celik, M.Akkurt, S.Ide, O.Cakmak|1999|Z.Krist.Cryst.Mater.|214|410|doi:10.1524/zkri.1999.214.7.410
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.