cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xgqw9p
title: Occurrence Download

description: A dataset containing 24625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes elongatus Ayres, 1859",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 24625 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054494-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ekfhut
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cheilodactylidae, Cheilodactylidae, 197291011, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, 211760414, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, 203898947, 212282805, Cheilodactylidae, CHEILODACTYLIDAE, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, 158169416, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, 212271419, 210218657, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae, Cheilodactylidae Regan, Cheilodactylidae Bonaparte, 1850, 161455852, Cheilodactylidae Bonaparte, 1850, Cheilodactylidae Bonaparte, 1850, Cheilodactylidae Bonaparte, 1850, Cheilodactylidae Bonaparte, 1850, Cheilodactylidae Bonaparte, 1850, Latridae Gill, 1862, Latridae T.N.Gill, 1862, Latridae Gill, Latridae, Cirrhitidae, Cirrhitidae, Gregoryinidae, Gregoryinidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 64 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054496-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cdkrcf
title: Occurrence Download

description: A dataset containing 607 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes emphaeus (Starks, 1911)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 607 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054497-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5csddn
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes ensifer Chen, 1971",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 86 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054498-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jtwzqs
title: Occurrence Download

description: A dataset containing 413 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (197288814, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, 210654562, Pomacanthidae, 211760640, 209458945, Pomacanthidae, 158171287, 210656984, 212360657, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, 206089556, Pomacanthidae, Pomacanthidae, 205001194, Pomacanthidae, 208566862, Pomacanthidae, Pomacanthidae, 205994235, 212269258, Pomacanthidae, Pomacanthidae, Pomacanthidae, POMACANTHIDAE, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, 204357547, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, 210218547, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, 157073740, 203894834, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae, Pomacanthidae Cockerell, 1915, Pomacanthidae Jordan & Evermann, 1898, Pomacanthidae Jordan & Evermann, 1898, Pomacanthidae Jordan & Evermann, 1898, 161438602, Pomacanthidae Jordan & Evermann, 1898, Pomacanthidae Jordan & Evermann, 1898, Pomacanthidae Jordan & Evermann, 1898, Pomacanthidae Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Pomacanthidae Jordan & Rutter in Jordan & Evermann, 1898, Chaetodontidae Rafinesque, 1810, Chaetodontidae Rafinesque, 1810, Chaetodontidae, Ephippididae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 413 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054499-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14587955
title: SPIRITUAL AND MORAL EDUCATION OF STUDENTS
DOI: 10.5281/zenodo.14587956
title: SPIRITUAL AND MORAL EDUCATION OF STUDENTS
DOI: 10.15468/dl.b7rm6y
title: Occurrence Download

description: A dataset containing 2448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, SIGANIDAE, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 158165944, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 211762827, Siganidae, 205994216, 210218730, Siganidae, Siganidae, Siganidae, 212269192, 205830969, Siganidae, Siganidae, Siganidae, Siganidae, 197287173, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 209459682, 209454833, Siganidae, Siganidae, 204357598, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 203894533, Siganidae, 209458962, Siganidae, Siganidae, Siganidae, 212282618, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae Richardson 1837, Siganidae Richardson, 1837, Siganidae Richardson, 1837, Siganidae Richardson, 1837, 161428146, Siganidae Richardson, 1837, Siganidae Richardson 1837, Siganidae Richardson, 1837, Cavisomidae Meyer, 1932, Scatophagidae Gill, 1883, Scatophagidae, Scatophagidae, Callionymidae, Gobiidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2448 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054500-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/p4q0-tr93
title: Data for review of submission TII-24-4657

description: Existing AC/DC power flow computations necessi- tate sequential convergence-oriented trial-and-error under vari- ous DC control modes, rising computational burden. This paper thus proposes a physics-guided multi-agent graph learning (PG- MAGL) method towards real-time power flow analysis with DC control mode adaptation. The tailored graph structure with built- in DC control modes and state variables is firstly advanced to ensure topology adaptability. Then, MAGL is proposed to enable adaptive jump over DC control modes. The trick is to organize multi-agent to parameterize power flow solutions under various DC control modes, and set aside trigger signals according to the operational violations of converters for the agent switching to the follow-up agent. To clarify the trigger signals, an augmented Lagrangian method-based PG-MAGL method is finally designed. It relaxes the control boundaries into the violation minimizers and enforces other constraints, such that DC control switching can be identified by the only violation signal. Utilizing inductive biases to rectify experiential biases in pure data-driven models, PG-MAGL enables precise inference of DC control mode feasibility. Case study shows that, relative to the other 7 data-driven rivals, only the proposed method matches the performance of the model-based baseline, also beats it in efficiency beyond 10 times.This is the data asked by reviewer during the round-2 review.
DOI: 10.15468/dl.sqmn66
title: Occurrence Download

description: A dataset containing 4702 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes entomelas (Jordan & Gilbert, 1880)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 4702 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054501-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14587552
title: Climatic hypervolumes - "Biological mechanisms crucial for reliable species range shift projections"

description: Hypervolumes used to measure climatic dissimilarity in Paleorecords reveal biological mechanisms crucial for reliable species range shift projections amid rapid climate change (Van der Meersch et al., 2025).

Hypervolumes were computed using the R package hypervolume, with a Gaussian kernel density estimation method based upon the first three principal component axis from three-month means temperature and three-month sums of precipitation (see Methods in the main text).
DOI: 10.5281/zenodo.14587553
title: Climatic hypervolumes - "Biological mechanisms crucial for reliable species range shift projections"

description: Hypervolumes used to measure climatic dissimilarity in Paleorecords reveal biological mechanisms crucial for reliable species range shift projections amid rapid climate change (Van der Meersch et al., 2025).

Hypervolumes were computed using the R package hypervolume, with a Gaussian kernel density estimation method based upon the first three principal component axis from three-month means temperature and three-month sums of precipitation (see Methods in the main text).
DOI: 10.5281/zenodo.14587858
title: Climatic hypervolumes - "Biological mechanisms crucial for reliable species range shift projections"

description: Hypervolumes used to measure climatic dissimilarity in Paleorecords reveal biological mechanisms crucial for reliable species range shift projections amid rapid climate change (Van der Meersch et al., 2025).

Hypervolumes were computed using the R package hypervolume, with a Gaussian kernel density estimation method based upon the first three principal component axis from three-month means temperature and three-month sums of precipitation (see Methods in the main text).
DOI: 10.15468/dl.88gfe9
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes eos (Eigenmann & Eigenmann, 1890)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 86 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054502-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fu2nrz
title: Occurrence Download

description: A dataset containing 2448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, SIGANIDAE, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 158165944, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 211762827, Siganidae, 205994216, 210218730, Siganidae, Siganidae, Siganidae, 212269192, 205830969, Siganidae, Siganidae, Siganidae, Siganidae, 197287173, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 209459682, 209454833, Siganidae, Siganidae, 204357598, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, 203894533, Siganidae, 209458962, Siganidae, Siganidae, Siganidae, 212282618, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae, Siganidae Richardson 1837, Siganidae Richardson, 1837, Siganidae Richardson, 1837, Siganidae Richardson, 1837, 161428146, Siganidae Richardson, 1837, Siganidae Richardson 1837, Siganidae Richardson, 1837, Cavisomidae Meyer, 1932, Scatophagidae Gill, 1883, Scatophagidae, Scatophagidae, Callionymidae, Gobiidae)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.5 20.15,117.25 20.15,117.25 24,109.5 24,109.5 20.15))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2448 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054503-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cpp47
title: Occurrence Download

description: A dataset containing 141615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Atherinella crystallina (Jordan & Culver, 1895), Centropomus robalito Jordan & Gilbert, 1882, Cichlasoma beani (Jordan, 1889), Citharichthys gilberti Jenkins & Evermann, 1889, Dormitator latifrons (Richardson, 1844), Dorosoma smithi Hubbs & Miller, 1941, Gobionellus microdon (Gilbert, 1892), Mugil cephalus Linnaeus, 1758, Mugil curema Valenciennes, 1836, Poecilia butleri Jordan, 1889, Poeciliopsis latidens (Garman, 1895), Poeciliopsis presidionis (Jordan & Culver, 1895), Poeciliopsis prolifica Miller, 1960, Poeciliopsis viriosa Miller, 1960, Ambassis urotaenia Bleeker, 1852, Caranx sexfasciatus Quoy & Gaimard, 1825, Chanos chanos (Forsskål, 1775), Chelonodon patoca (Hamilton, 1822), Ctenopharyngodon idella (Valenciennes, 1844), Echidna rhodochilus Bleeker, 1863, Monodactylus argenteus (Linnaeus, 1758), Mystus gulio (Hamilton, 1822))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "CoordinateUncertaintyInMeters is less than 1e+05"
 ]
}

 The dataset includes 141615 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054492-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hgne8v
title: Occurrence Download

description: A dataset containing 20441 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes flavidus (Ayres, 1862)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 20441 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054504-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60656/7d9f1a08db5e4598
title: Custom collection of categorize, classification, drizzle, ice water content, liquid water content, and model data from Potenza on 12 May 2013
DOI: 10.15468/dl.akxn93
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes gilli (Eigenmann, 1891)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054505-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mssuh3
title: Occurrence Download

description: A dataset containing 1228 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sebastes goodei (Eigenmann & Eigenmann, 1890)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1900"
 ]
}

 The dataset includes 1228 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054509-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fc3nee
title: Occurrence Download

description: A dataset containing 7175 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Apis florea Fabricius, 1787"
 ]
}

 The dataset includes 7175 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054507-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24325471.v2
title: Unlocking the Hidden Depths: Multi-Modal Integration of Imaging Mass Spectrometry-Based and Molecular Imaging Techniques

description: Multimodal imaging (MMI) has emerged as a powerful tool in clinical research, combining different imaging modes to acquire comprehensive information and enabling scientists and surgeons to study tissue identification, localization, metabolic activity, and molecular discovery, thus aiding in disease progression analysis. While multimodal instruments are gaining popularity, challenges such as non-standardized characteristics, custom software, inadequate commercial support, and integration issues with other instruments need to be addressed. The field of multimodal imaging or multiplexed imaging allows for simultaneous signal reproduction from multiple imaging strategies. Intraoperatively, MMI can be integrated into frameless stereotactic surgery. Recent developments in medical imaging modalities such as magnetic resonance imaging (MRI), and Positron Emission Topography (PET) have brought new perspectives to multimodal imaging, enabling early cancer detection, molecular tracking, and real-time progression monitoring. Despite the evidence supporting the role of MMI in surgical decision-making, there is a need for comprehensive studies to validate and perform integration at the intersection of multiple imaging technologies. They were integrating mass spectrometry-based technologies (e.g., imaging mass spectrometry (IMS), imaging mass cytometry (IMC), and Ion mobility mass spectrometry ((IM-IM) with medical imaging modalities, offering promising avenues for molecular discovery and clinical applications. This review emphasizes the potential of multi-omics approaches in tissue mapping using MMI integrated into desorption electrospray ionization (DESI) and matrix-assisted laser desorption ionization (MALDI), allowing for sequential analyses of the same section. By addressing existing knowledge gaps, this review encourages future research endeavors toward multi-omics approaches, providing a roadmap for future research and enhancing the value of MMI in molecular pathology for diagnosis.
DOI: 10.6084/m9.figshare.24325471
title: Unlocking the Hidden Depths: Multi-Modal Integration of Imaging Mass Spectrometry-Based and Molecular Imaging Techniques

description: Multimodal imaging (MMI) has emerged as a powerful tool in clinical research, combining different imaging modes to acquire comprehensive information and enabling scientists and surgeons to study tissue identification, localization, metabolic activity, and molecular discovery, thus aiding in disease progression analysis. While multimodal instruments are gaining popularity, challenges such as non-standardized characteristics, custom software, inadequate commercial support, and integration issues with other instruments need to be addressed. The field of multimodal imaging or multiplexed imaging allows for simultaneous signal reproduction from multiple imaging strategies. Intraoperatively, MMI can be integrated into frameless stereotactic surgery. Recent developments in medical imaging modalities such as magnetic resonance imaging (MRI), and Positron Emission Topography (PET) have brought new perspectives to multimodal imaging, enabling early cancer detection, molecular tracking, and real-time progression monitoring. Despite the evidence supporting the role of MMI in surgical decision-making, there is a need for comprehensive studies to validate and perform integration at the intersection of multiple imaging technologies. They were integrating mass spectrometry-based technologies (e.g., imaging mass spectrometry (IMS), imaging mass cytometry (IMC), and Ion mobility mass spectrometry ((IM-IM) with medical imaging modalities, offering promising avenues for molecular discovery and clinical applications. This review emphasizes the potential of multi-omics approaches in tissue mapping using MMI integrated into desorption electrospray ionization (DESI) and matrix-assisted laser desorption ionization (MALDI), allowing for sequential analyses of the same section. By addressing existing knowledge gaps, this review encourages future research endeavors toward multi-omics approaches, providing a roadmap for future research and enhancing the value of MMI in molecular pathology for diagnosis.