cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21220/41
title: 2015 Sea Level Rise App Data Archive: All Data

description: Loftis, J.D. (2025). GPS Positional Accuracy Comparisons Using Community Science Data for Flood Forecast Model Validation Applications. OCEANS 2025 – Great Lakes, Chicago, IL, 1–12. 10.23919/OCEANS59106.2025.11245158 Loftis, J.D. and Katragadda, S. (2025). Best Practices for Flood Model Validation using Community Science. 2025 ESRI User Conference Session 1467, 104653. Loftis, J.D., Mitchell, M., Schatt, D., Forrest, D.R., Wang, H.V., Mayfield, D., and Stiles, W.A. (2019). Validating an Operational Flood Forecast Model Using Citizen Science in Hampton Roads, VA, USA. Journal of Marine Science and Engineering. 7, 242. https://doi.org/10.3390/jmse7080242
description: The Sea Level Rise mobile application is a free app on iOS and Android platforms that seeks to map tidal inundation and flooding attributed to storm surge. This archived GIS shape file dataset was from the beta release of the App on iOS, and it features 3,515 GPS inundation extent data points collected in Norfolk, VA, via an early beta version of the free Sea Level Rise mobile app during 6 daily flooding events occurring every high tide from September 23-28, during the most significant flooding event of 2015 in Hampton Roads, VA. The event was caused by a nor’easter merging with Hurricane Joaquin. Timestamped GPS-reported high water marks were collected by volunteers to effectively trace the high water line by pressing the 'Save Data' button in the free Sea Level Rise mobile app in regular intervals along the water's edge. These data were used as the basis to eventually found Catch the King, the world’s largest environmental survey. Catch the King was founded as a collaborative effort to give members of the public an opportunity to engage personally in climate change adaptation. While the development of the Sea Level Rise app was led by Wetlands Watch and local tech company, Open Health Innovations (formerly Concursive), the idea for creating a statewide program stems from the creative minds of Wetlands Watch’s former Executive Director, Skip Stiles, retired Virginian-Pilot reporter, Dave Mayfield, and Virginia Institute of Marine Science (VIMS) assistant professor, Dr. Derek Loftis. Throughout the year, trained tidal flood mappers use the free Sea Level Rise mobile application (iOS / Android) developed by Wetlands Watch and Open Health Innovations (formerly Concursive) to walk the high water lines in public spaces near them to digitally trace GPS contours of the maximum extent of tidal flood waters. These data are shared publicly after the end of the mapping event and used as a public annual tidal calibration for the forecast predictions generated from VIMS' Tidewatch Map. Annually, a live tidal calibration of the forecasts driven from the Center for Coastal Resources Management's SCHISM hydrodynamic model (developed by Dr. Joseph Zhang) is conducted by the trained participatory scientists engaged with Catch the King, and analyzed by Dr. Loftis at VIMS.
DOI: 10.21220/43
title: Pelagic primary production and respiration in Cherrystone Inlet, VA, 2021-2024

description: Water quality and primary production and respiration dataset can be found in the Cherrystone_production_data.csv file; and background, site location, and data collection and analysis methods can be found in the READ_ME_Cherrystone.pdf file. Associated Dataset: Blachman, S.A., and M.J. Brush. 2025. Pelagic primary production and respiration in Mobjack Bay, VA, 2023-2025. Virginia Institute of Marine Science, Gloucester Point, VA: WMScholarWorks.
description: Virginia’s aquaculture industry is dependent on an adequate food supply derived chiefly from primary production by phytoplankton. Limited food availability can reduce the growth and potential harvest of cultured bivalves at high planting densities, and the effect of food limitation can vary seasonally. However, sustained measurements of phytoplankton primary production and respiration are rare, especially in the shallow, nearshore waters around the perimeter of the Chesapeake Bay where bivalve aquaculture is concentrated. To provide resource managers with information necessary to assess this critical control on the ecological and economic sustainability of the aquaculture industry, we measured rates of pelagic primary production and respiration monthly at three locations in Cherrystone Inlet, a tidal tributary in the lower Chesapeake Bay with extensive bivalve aquaculture. Rates were measured over the entire year in 2021 and 2024 and during the primary growing season in 2022 and 2023.
DOI: 10.21220/44
title: Pelagic primary production and respiration in Mobjack Bay, VA, 2023-2025

description: Water quality and primary production and respiration dataset can be found in the Mobjack_production_data.csv file; and background, site location, and data collection and analysis methods can be found in the READ_ME_Mobjack.pdf file. Associated Dataset: Blachman, S.A., and M.J. Brush. 2025. Pelagic primary production and respiration in Cherrystone Inlet, VA, 2021-2024. Virginia Institute of Marine Science, Gloucester Point, VA: WMScholarWorks.
description: Virginia’s aquaculture industry is dependent on an adequate food supply derived chiefly from primary production by phytoplankton. Limited food availability can reduce the growth and potential harvest of cultured bivalves at high planting densities, and the effect of food limitation can vary seasonally. However, sustained measurements of phytoplankton primary production and respiration are rare, especially in the shallow, nearshore waters around the perimeter of the Chesapeake Bay where bivalve aquaculture is concentrated. To provide resource managers with information necessary to assess this critical control on the ecological and economic sustainability of the aquaculture industry, we measured rates of pelagic primary production and respiration monthly at six locations in Mobjack Bay, an embayment in the lower Chesapeake Bay with growing bivalve aquaculture activity. Rates were measured at two locations in the main bay and one location in each of its four tidal tributaries from March 2023 to March 2025.
DOI: 10.4121/0b88a94d-8039-432c-98a2-4aeb3d1e7fcb
title: Supporting dataset for paper "A MCDM method for q-rung orthopair fuzzy Z-number based on prospect-regret theory and its application in medical diagnosis"

description: The dataset is in the form of q-rung orthopair fuzzy Z-numbers for medical diagnosis. It is used to validate the proposed MCDM method's feasibility for the paper "A MCDM method for q-rung orthopair fuzzy Z-number based on prospect-regret theory and its application in medical diagnosis".
DOI: 10.4121/0b88a94d-8039-432c-98a2-4aeb3d1e7fcb.v2
title: Supporting dataset for paper "A MCDM method for q-rung orthopair fuzzy Z-number based on prospect-regret theory and its application in medical diagnosis"

description: The dataset is in the form of q-rung orthopair fuzzy Z-numbers for medical diagnosis. It is used to validate the proposed MCDM method's feasibility for the paper "A MCDM method for q-rung orthopair fuzzy Z-number based on prospect-regret theory and its application in medical diagnosis".
DOI: 10.5281/zenodo.18241568
title: Andropogon gracilipes Hack. 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 16:42
DOI: 10.5281/zenodo.18241567
title: Andropogon gracilipes Hack. 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 16:42
DOI: 10.5281/zenodo.18240690
title: Bayesian constraints on quark stars from multi-messenger observations
title: Global mass-radius properties of quark stars
title: Macroscopic observables from the four-parameter model
title: Posterior constraints on microscopic quark matter parameters
title: Reduced quark star models: three- and two-parameter descriptions
title: Equation of state and sound speed
DOI: 10.5281/zenodo.18240691
title: Bayesian constraints on quark stars from multi-messenger observations
title: Global mass-radius properties of quark stars
title: Macroscopic observables from the four-parameter model
title: Posterior constraints on microscopic quark matter parameters
title: Reduced quark star models: three- and two-parameter descriptions
title: Equation of state and sound speed
DOI: 10.15468/dl.zyq3mr
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithocarpus fenestratus",
 "Year 1970-2000"
 ]
}

 The dataset includes 61 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008389-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5pcsg
title: Occurrence Download

description: A dataset containing 29990 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus albus"
 ]
}

 The dataset includes 29990 records from 755 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008386-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5833nb2g
title: MassIVE MSV000098026 - SREBF2 Drives Early Breast Cancer Metastasis by Modulating Splicing and Immune Evasion
title: Cancer metastasis, particularly its early stages, remains a critical yet elusive target in oncology. Using the MMTV-PyMT mouse model, which closely recapitulates human breast cancer metastasis, we performed single-cell RNA sequencing (scRNA-seq) of primary tumors and small lung metastases to define the molecular signatures of early metastatic cells. Our analyses revealed elevated spliceosome activity and impaired antigen presentation pathways, mirroring features of human breast cancer lymph node metastasis. Comparative microenvironment profiling further demonstrated a conserved immunosuppressive state at metastatic sites across both murine and human datasets. Pharmacological inhibition of splicing with indisulam significantly reduced metastasis in an immune-dependent manner, highlighting therapeutic potential. Integrative multi-omics analyses, including nanopore sequencing, ChIP-seq, and genetic manipulation, identified SREBF2 as a central transcriptional regulator coordinating splicing processes and antigen presentation. SREBF2 knockout experiments confirmed its causal role, restoring antigen presentation and suppressing metastatic progression. Metabolomic analyses revealed that reduced cholesterol levels at metastatic sites correlated with enhanced SREBF2 activity, establishing a link between metabolic reprogramming and immune evasion. Collectively, our study uncovers a novel SREBF2-mediated axis integrating cholesterol metabolism, splicing dysregulation, and immune suppression during early metastasis. These findings nominate SREBF2 as a promising therapeutic target and provide a mechanistic foundation for developing strategies to intercept cancer metastasis at its inception.
DOI: 10.15468/dl.hgevn9
title: Occurrence Download

description: A dataset containing 37 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Puma concolor concolor",
 "Year 1990-2025"
 ]
}

 The dataset includes 37 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006157-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds006218.v1.0.0
title: Longitudinal (3M, 6M) and cross-sectional (10M, 16M) evaluation of SynVesT-1 PET in zQ175DN mice. ARG and IHC were performed at 16M.
DOI: 10.18112/openneuro.ds006239.v1.0.0
title: A fMRI neuroimaging dataset of word reading with semantic and phonological localizers in children and adolescents
DOI: 10.15468/dl.3w7397
title: Occurrence Download

description: A dataset containing 1254934 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Oceania",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "Year 2001-2025"
 ]
}

 The dataset includes 1254934 records from 422 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030800-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uphgk7
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-71.79311 -17.43773,-70.0822 -16.39149,-70.64662 -15.50962,-72.30462 -14.69223,-74.24482 -14.98208,-74.8798 -15.62856,-71.79311 -17.43773))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Oxyura ferruginea (Eyton, 1838)",
 "Year 2021-2025"
 ]
}

 The dataset includes 220 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030784-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2lv2q8
title: CCDC 2408350: Experimental Crystal Structure Determination

description: Related Article: Marco F. Gatto, Sara Sangtarash, David Jago, R. Tom Abram, Eleanor Barrett, Amit Sil, George A. Koutsantonis, Simon J. Higgins, Craig M. Robertson, Richard J. Nichols, Hatef Sadeghi, Andrea Vezzoli|2025|Dalton Trans.|54|7874|doi:10.1039/D5DT00292C
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.
DOI: 10.5517/ccdc.csd.cc2lv2r9
title: CCDC 2408351: Experimental Crystal Structure Determination

description: Related Article: Marco F. Gatto, Sara Sangtarash, David Jago, R. Tom Abram, Eleanor Barrett, Amit Sil, George A. Koutsantonis, Simon J. Higgins, Craig M. Robertson, Richard J. Nichols, Hatef Sadeghi, Andrea Vezzoli|2025|Dalton Trans.|54|7874|doi:10.1039/D5DT00292C
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.
DOI: 10.7274/28792610
title: Advancing Catalytic Dehydrogenation and Coupling of Light Hydrocarbons Via Nonthermal Plasma

description: Plasma catalysis offers a promising pathway for the decarbonization of natural gas and greenhouse gas valorization, leveraging renewable electricity to drive chemical transformations under mild conditions. However, fundamental knowledge gaps remain in plasma-catalyst interactions, limiting the optimization and scalability of these processes. This dissertation explores key aspects of plasma-surface coupling, emphasizing innovative experimental approaches to characterize and manipulate plasma-driven reactions.
A custom-designed plasma cell was developed to enable simultaneous surface, plasma-phase, and gas-phase analysis using Fourier transform infrared spectroscopy (FTIR), optical emission spectroscopy, and mass spectrometry. This system provided direct evidence of plasma-induced surface transformations, including selective oxidation of amine-functionalized SBA-15 and the evolution of NOx species on a Pt-surface in an air discharge. Additionally, nonthermal plasma was shown to induce strong metal-support interactions (P-SMSI) in platinum-niobia catalysts at sub-ambient temperatures, enhancing selectivity for propane dehydrogenation. Time-resolved CO adsorption FTIR spectroscopy indicated P-SMSI forms via a mechanism of diffusion-controlled surface migration at low temperatures, revealing a departure from the thermal mechanism. This launched a kinetic evaluation into the induction and reversal of P-SMSI at both elevated and sub-ambient temperatures, providing insight into how temperature affects nonthermal plasma-catalyst interactions.
Further, plasma-driven activation of ethane was investigated to address carbon growth challenges, demonstrating the formation of uniform “diamond-like” carbon microstructures on the metal surface of the electrode. By modulating plasma parameters and limiting access to metal surfaces, the carbon nucleation in the reactor was controlled and even avoided entirely under certain configurations.
Collectively, these studies provide new insights into plasma-surface interactions, unlocking strategies to enhance reaction selectivity, stability, and sustainability for future plasma-driven chemical technologies.
DOI: 10.7274/28792610.v1
title: Advancing Catalytic Dehydrogenation and Coupling of Light Hydrocarbons Via Nonthermal Plasma

description: Plasma catalysis offers a promising pathway for the decarbonization of natural gas and greenhouse gas valorization, leveraging renewable electricity to drive chemical transformations under mild conditions. However, fundamental knowledge gaps remain in plasma-catalyst interactions, limiting the optimization and scalability of these processes. This dissertation explores key aspects of plasma-surface coupling, emphasizing innovative experimental approaches to characterize and manipulate plasma-driven reactions.
A custom-designed plasma cell was developed to enable simultaneous surface, plasma-phase, and gas-phase analysis using Fourier transform infrared spectroscopy (FTIR), optical emission spectroscopy, and mass spectrometry. This system provided direct evidence of plasma-induced surface transformations, including selective oxidation of amine-functionalized SBA-15 and the evolution of NOx species on a Pt-surface in an air discharge. Additionally, nonthermal plasma was shown to induce strong metal-support interactions (P-SMSI) in platinum-niobia catalysts at sub-ambient temperatures, enhancing selectivity for propane dehydrogenation. Time-resolved CO adsorption FTIR spectroscopy indicated P-SMSI forms via a mechanism of diffusion-controlled surface migration at low temperatures, revealing a departure from the thermal mechanism. This launched a kinetic evaluation into the induction and reversal of P-SMSI at both elevated and sub-ambient temperatures, providing insight into how temperature affects nonthermal plasma-catalyst interactions.
Further, plasma-driven activation of ethane was investigated to address carbon growth challenges, demonstrating the formation of uniform “diamond-like” carbon microstructures on the metal surface of the electrode. By modulating plasma parameters and limiting access to metal surfaces, the carbon nucleation in the reactor was controlled and even avoided entirely under certain configurations.
Collectively, these studies provide new insights into plasma-surface interactions, unlocking strategies to enhance reaction selectivity, stability, and sustainability for future plasma-driven chemical technologies.
DOI: 10.15468/dl.uvxd9r
title: Occurrence Download

description: A dataset containing 766 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Antarctic Porifera database from the Spanish benthic expeditions: Bentart, Gebrap and Ciemar"
 ]
}

 The dataset includes 766 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030785-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10670315
title: All-atom molecular dynamics simulations of incomplete ATP synthase rotor rings with unusually high stoichiometry predicted by the AlphaFold2-based method

description: The trajectories of all-atom MD simulations of AlphaFold2 4, 11, 16 or 18-mer structures of the subunit c fromCandidatus Kryptonium thompsoni (CKt_Nmer_lipid_mix_CHM36m_303K_500ns) and Thalassoglobus polymorphus (Tp_Nmer_lipid_mix_CHM36m_303K_500ns), and AlphaFold2 11-mer structure of the subunit c from Spinacia oleracea (So_11mer-c20_POPC_CHM36m_303K_300ns) in a lipid bilayer.

Simulations have been performed using the CHARMM36m force field, running with the GROMACS 2022 package.
DOI: 10.5281/zenodo.10670316
title: All-atom molecular dynamics simulations of incomplete ATP synthase rotor rings with unusually high stoichiometry predicted by the AlphaFold2-based method

description: The trajectories of all-atom MD simulations of AlphaFold2 4, 11, 16 or 18-mer structures of the subunit c fromCandidatus Kryptonium thompsoni (CKt_Nmer_lipid_mix_CHM36m_303K_500ns) and Thalassoglobus polymorphus (Tp_Nmer_lipid_mix_CHM36m_303K_500ns), and AlphaFold2 11-mer structure of the subunit c from Spinacia oleracea (So_11mer-c20_POPC_CHM36m_303K_300ns) in a lipid bilayer.

Simulations have been performed using the CHARMM36m force field, running with the GROMACS 2022 package.
DOI: 10.15468/dl.7u9pk9
title: Occurrence Download

description: A dataset containing 1961 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Alexandrium affine (H.Inoue & Y.Fukuyo) Balech, 1995",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1961 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030789-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15412190
title: A Nanostructured Phenazine-based Conjugated Microporous Polymer Hybrid Anode Boosts Power and Practicability of Organic-Manganese Hydronium-ion Batteries

description: DATASET

Organic-manganese hydronium-ion batteries are gaining attention for their safety, sustainability, and high rate capabilities. However, their electrochemical performance faces challenges due to organic active-materials' inferior properties, including low conductivity and solubility, and limited content (<60 wt%) and loading (<2 mg cm-2) in the anode. To address this, we developed a high-performance battery using a phenazine-based conjugated microporous polymer hybrid anode (IEP-27-SR), utilizing hydronium-ion coordination/un-coordination chemistry. The IEP-27-SR anode features enhanced structural characteristics, such as a high BET specific surface area, mixed micro-/mesoporosity, nanostructurization, and hybridization, enabling rapid hydronium-ion mobility. The resulting IEP-27-SR//MnO2@GF full-cell demonstrates high capacity (101 mAh g-1 at 2C), excellent rate performance (41 mAh g-1 at 100C), ultrafast-charging capability (80% charged in 18 seconds), and impressive cycling stability with 83% capacity retention over 20400 cycles at 30C with a regular polymer mass loading of 2 mg cm-2, despite its high content (80 wt%) in the anode.  Moreover, it shows operability at low temperatures (63 mAh g-1 at -40º C). Most importantly, the full-cell with a high-mass-loading polymer anode (30 mg cm-2) achieves practically relevant areal capacity (3.4 mAh cm-2 at 4 mA cm-2) and sustains 2 mAh cm-2 under an extremely high areal current (50 mA cm-2). This breakthrough highlights the progress of organic hydronium-ion batteries, representing progress toward practical, sustainable energy storage solutions.