cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/xe4-kd2-20z
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.5281/zenodo.18241529
title: Andropogon candidus Trin. 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.18241530
title: Andropogon candidus Trin. 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: 10.3535/3ra-r48-h7q
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/c3n-wgx-yxe
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/y13-mvb-8b4
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/wwd-ycm-rm5
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.xbhqg9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.48_1","matchCase":false},{"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/0008380-260108223611665/datasets/export for details.
DOI: 10.3535/t1f-2dy-j3c
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/vqy-kfk-rk6
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/4vb-wvn-t98
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/hbb-a6j-skw
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.4hr533
title: Occurrence Download

description: A dataset containing 2959 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mollugo pentaphylla"
 ]
}

 The dataset includes 2959 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008379-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82136/dataset/08de529e-1b3c-41ee-8e58-83eb14844ba8
title: Epilepsy Detection Network

description: The weights and configuration files of a ChronoNet model to detect epilepsy seizure in data from low-electrode EEGs.
In the training phase, the EEGs are first cleaned through HAPPILEE pipeline, and then fed to the network.
DOI: 10.18712/nsd-nsd3327-v1
title: Norwegian Citizen Panel round 30, 2024

description: The Norwegian Citizen Panel is a platform for online surveys of Norwegian citizens’ attitudes and changes in attitudes within important areas of society and politics. This is mainly social science research, but also includes collaborations related to the humanities, natural sciences, and medical fields (particularly user involvement, health prioritization, and community medicine). The purpose is research and research dissemination.

Participants are randomly recruited from the National Population Register and are encouraged to participate over time. The panel was first launched in the autumn of 2013, and since 2017, surveys have been conducted three times a year. The dataset for Norwegian Citizen Panel round 30 also includes variables from previous rounds, with the round number indicated by the digit after “r” in the variable name. The University of Bergen is the owner and data controller for the Citizen Panel. Ideas2evidence is responsible for the technical implementation. Data are stored and disseminated by Sikt – The Knowledge Sector’s service provider. The Citizen Panel welcomes research proposals for the survey. More information about calls and other updates can be found at uib.no/medborger and uib.no/digsscore
DOI: 10.18712/nsd-nsd3328-v1
title: Norwegian Citizen Panel round 31, 2024

description: The Norwegian Citizen Panel is a platform for internet-based surveys of Norwegian citizens’ attitudes and attitude changes on important issues in society and politics. This is primarily social science research, but it also involves collaboration related to the humanities, natural sciences, and medical disciplines (in particular user involvement, health priority setting, and community medicine). The purpose is research and research dissemination.

Participants are randomly recruited from the National Population Register and are encouraged to take part over time. The panel went into the field for the first time in autumn 2013, and from 2017 onwards the surveys have been conducted three times a year. The dataset for Norwegian Citizen Panel wave 31 also contains variables from previous waves, and the wave number is indicated by the digit following “r” in the variable name. The University of Bergen is the owner and data controller for the Citizen Panel. Ideas2evidence is responsible for the technical implementation. Data are stored and disseminated by Sikt – Norwegian Agency for Shared Services in Education and Research. The Citizen Panel welcomes research proposals for the survey. More information about calls and other updates can be found at uib.no/medborger and uib.no/digsscore.
DOI: 10.15468/dl.bwry4g
title: Occurrence Download

description: A dataset containing 35 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lithocarpus elegans",
 "Year 1970-2000"
 ]
}

 The dataset includes 35 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008382-260108223611665/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.31064422
title: NY test

description: testtest
DOI: 10.6084/m9.figshare.31064422.v1
title: NY test

description: testtest
DOI: 10.3535/n03-p1s-4k1
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.knhwf9
title: Occurrence Download

description: A dataset containing 42841 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alternanthera philoxeroides"
 ]
}

 The dataset includes 42841 records from 452 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008381-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wdtmvn
title: Occurrence Download

description: A dataset containing 267522 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Natural History Museum Aarhus Entomology Collection"
 ]
}

 The dataset includes 267522 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008376-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/e41-cw4-q2s
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/t3e-vlv-gvn
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/s62-nhq-9dz
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/ff4-8c0-33m
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.3535/knp-zmn-2q1
title: Deltote (Protodeltote) pygarga (Hufnagel, 1766)

description: Digital Specimen for the physical specimen hosted at Finnish Museum of Natural History.
DOI: 10.15468/dl.pbrnrc
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.81274 41.94746,8.81433 41.94618,8.81453 41.94705,8.81274 41.94746))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2015-2026"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008384-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u3dudj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.49_1","matchCase":false},{"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/0008383-260108223611665/datasets/export for details.
DOI: 10.15468/dl.ehtagy
title: Occurrence Download

description: A dataset containing 3224 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Universidad del Valle de Guatemala - Herbario UVAL",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 3224 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008385-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18241538
title: Andropogon condensatus Kunth. 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.18241539
title: Andropogon condensatus Kunth. 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.17967151
title: Attaining the ground state of kagome artificial spin ice via ultrafast site-specific laser annealing [dataset]

description: Data supporting "Attaining the ground state of kagome artificial spin ice via ultrafast site-specific laser annealing" published in Phys. Rev. B (2026)

Full citation:

D. Pecchio, S. Sahoo, V. Scagnoli, L. J. Heyderman

Attaining the ground state of kagome artificial spin ice via ultrafast site-specific laser annealing

Phys. Rev. B (2026)
DOI: 10.5281/zenodo.17967152
title: Attaining the ground state of kagome artificial spin ice via ultrafast site-specific laser annealing [dataset]

description: Data supporting "Attaining the ground state of kagome artificial spin ice via ultrafast site-specific laser annealing" published in Phys. Rev. B (2026)

Full citation:

D. Pecchio, S. Sahoo, V. Scagnoli, L. J. Heyderman

Attaining the ground state of kagome artificial spin ice via ultrafast site-specific laser annealing

Phys. Rev. B (2026)
DOI: 10.3886/e244079
title: School Of Nursing (S.O.N.), Eket, Immanuel General Hospital Eket 2026/2027 ADMISSION FORM Is Out Call 09032974622

description: School Of Nursing (S.O.N.), Eket, Immanuel General Hospital Eket 2026/2027 ADMISSION FORM Is Out Call 09032974622 09032974622, Also For Transcript Collection Call 09032974622 for more details... The Management of the school hereby informs the general public on the sales of the general Nursing Admission form into the School of Nursing/Midwifery. And also the sales of the two (2) years Post Basic Nursing Programme. Contact the school Admin — DR MRS GRACE on 09032974622 for more details on how to purchase the form and register online.
DOI: 10.34740/kaggle/ds/8922729
title: Rice Penultimate Leaf Chloroplast WGP Dataset
DOI: 10.5281/zenodo.18241544
title: Andropogon condensatus subsp. elongatus 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.18241543
title: Andropogon condensatus subsp. elongatus 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.18241557
title: Andropogon condensatus subvar. lactiflorus 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.18241558
title: Andropogon condensatus subvar. lactiflorus 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.18241563
title: Andropogon glaucophyllus Roseng., B.R.Arrill. & Izag. 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.18241564
title: Andropogon glaucophyllus Roseng., B.R.Arrill. & Izag. 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: 10.15468/dl.j5ptsu
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.25.50_1","matchCase":false},{"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 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008387-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21220/15
title: Numerical simulations of water quality impacts during Hurricane Irene in a coastal-plain estuary

description: File Structure of Dataset: README.txt: Comprehensive documentation of the data archive. inputs_roms.zip: Model input/forcing files used in the generation of the simulations. code_ecb_roms.zip: Software and parameters used to generate the simulations. airseafluxes1985_2023hindcast_era5.nc: Air/sea fluxes from the hindcast simulation. tracks50e3sm_atcf.tempestextremes.20110826: Trajectories and other metrics for the 50 hurricanes. outputs_roms_partXX.zip (with XX running from 01 to 05): Output from the simulations, divided into 5 .zip files.
description: Tropical cyclones regularly form during the north Atlantic `Hurricane Season' (June-November) and their typical trajectory follows the east coast of the United States (US). These cyclones can generate billions of US dollars of damage as they pass over highly urbanized areas of the US east coast. The dataset contains numerical simulations of water quality impacts during Hurricane Irene (2011) in a large coastal-plain estuary (Chesapeake Bay, USA). The simulations are produced with the Regional Ocean Modeling System (ROMS) that is in turn forced by an ensemble of atmospheric simulations of Irene (50 realizations in the ensemble) conducted with the atmospheric component of the global model E3SM. The result is a distribution of water quality impacts (changes in turbidity, stratification, oxygen and other metrics) as a function of 50 `Irene-like' hurricanes with slightly different trajectory and intensity. The simulations are archived in the self-documented NetCDF format with each files containing the necessary metadata. The dataset includes the computer code (and all its configuration), the inputs necessary to re-run ROMS and reproduce the numerical simulations, as well as the actual outputs from ROMS. The dataset (~75 GB in size) includes a README file containing a list of all the files and additional background information on each of them.
DOI: 10.21220/40
title: 2014 Sea Level Rise App Data Archive: All Data

description: Associated Publications 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. Mulholland, M.R., Macías-Tapia, A., and Loftis, J.D. (2022). Water quality impacts from tidal flooding in Southern Chesapeake Bay. Oceans 2022 MTS/IEEE Hampton Roads, IEEE. 10.1109/OCEANS47191.2022.9977117 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 alpha release of the App on iOS, and it features 309 GPS inundation extent data points collected in Hampton Roads, VA, via an early alpha version of the free Sea Level Rise mobile app during 3 flooding events: 1. Hurricane Arthur on July 5, 2014, 2. King tide on Sept 10, 2014, and 3. King tide on October 9, 2014. 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.