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

description: A dataset containing 123487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "HasCoordinate is true",
 "Year is greater than or equal to 2020",
 "Year is less than or equal to 2024",
 "Geometry POLYGON((-25.0 69.0, 45.0 69.0, 45.0 72.0, -25.0 72.0, -25.0 69.0))"
 ]
}

 The dataset includes 123487 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016447-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7hsewu
title: Occurrence Download

description: A dataset containing 36515 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Taxon occurrence data for the FungalRoot database"
 ]
}

 The dataset includes 36515 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016470-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.38qag5
title: Occurrence Download

description: A dataset containing 75 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Athene noctua",
 "Year is 2022"
 ]
}

 The dataset includes 75 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016471-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f9a2ze
title: Occurrence Download

description: A dataset containing 3773 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "Geometry POLYGON((-73.82011 10.65759,-73.93363 10.66663,-73.96027 10.60536,-73.86504 10.47121,-73.5802 10.45317,-73.35865 10.57023,-73.40831 10.71384,-73.4603 10.78766,-73.55051 10.69018,-73.69082 10.64067,-73.82011 10.65759))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2005-2026"
 ]
}

 The dataset includes 3773 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016472-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jrmx56
title: Occurrence Download

description: A dataset containing 530077 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus terrestris"
 ]
}

 The dataset includes 530077 records from 1237 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016409-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71587/dn8xk304
title: ERSAWPS923-Technical_Appendix.pdf
DOI: 10.5281/zenodo.18506253
title: The MYAN time series and MATLAB-formatted raw and declustered earthquake catalogs of the southeastern Tibetan Plateau, as used in the manuscript by Rui et al. (submitted to GJI)
DOI: 10.5281/zenodo.18495600
title: The MYAN time series and MATLAB-formatted raw and declustered earthquake catalogs of the southeastern Tibetan Plateau, as used in the manuscript by Rui et al. (submitted to GJI)
DOI: 10.5281/zenodo.18506072
title: Victor Duenas Farm (LiDAR) February 5 2026

description: This orthomosaic of Inalåhan, Guam was created from 696 images taken on February 5 2026, at 300ft AGL, with a DJI Matrice 350 . The mission was planned using the DJI Pilot application and post-processed using DJI Terra.

This project was made possible through funding by the following grant(s): NACD (Award No. HQ00342020012).
description: Disclaimer: The following aerial imagery is intended solely for research purposes related to the assessment of the captured area. It is strictly prohibited to distribute this imagery to any unauthorized individuals or third-party entities without prior authorization. All drone imagery was obtained in accordance with FAA guidelines and applicable local laws, with all necessary authorizations secured to ensure safe and legal operation.

The University of Guam Drone Corps funded by NASA Guam Space Grant and NASA Guam EPSCoR retain all rights to the aerial imagery, including but not limited to copyrights and intellectual property rights. Any unauthorized modification, reproduction, or distribution of the imagery is strictly prohibited.

By using this data, you acknowledge and agree to abide by the terms and conditions set forth in this disclaimer.

 

 

Privacy Disclaimer: The aerial imagery captured for assessment may inadvertently include images of private property and individuals. While every effort has been made to respect privacy, it is possible that identifiable information or sensitive locations may be visible in the imagery. University of Guam Drone Corps and related parties disclaim any responsibility for the unintentional collection or dissemination of such information. The recipient(s) of this imagery are urged to handle it with due care and take necessary precautions to protect the privacy rights of individuals and comply with applicable privacy laws and regulations.
DOI: 10.15468/dl.u2ez5y
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tricarpelema philippense",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016473-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17036023
title: Dataset for "JWST Discovers the Vertical Structure of Uranus' Ionosphere"
DOI: 10.5281/zenodo.17036022
title: Dataset for "JWST Discovers the Vertical Structure of Uranus' Ionosphere"
DOI: 10.5281/zenodo.18501450
title: The 4,000 labeled synthetic datasets, 3,000 unlabeled field datasets, and corresponding 3,000 predicted RGT baseline for "Geological-prior-driven progressive multi-stage learning paradigm for relative geologic time estimation in global seismic clinothems"

description: The 4,000 labeled synthetic datasets, 3,000 unlabeled field datasets, and corresponding 3,000 predicted RGT baseline results create by the Computational Interpretation Group (CIG) for for automatic relative geologic time (RGT) estimation, Hui Gao, Xinming Wu, Zhixiang Guo, Jiarun Yang, and Yimin Dou are the main contributors to the dataset.

1. The 4,000 labeled synthetic datasets:  Synthetic seismic clinothem datasets generated by geological and geophysical forward modeling (stratigraphic forward modeling, geological structural deformation modeling, and geophysical forward modeling), each paired with dense relative geological time (RGT) labels, faults labels, and corresponding geological priors (seismic normal vectors, and automatically extracted local horizion segments).

2. The 3,000 unlabeled field datasets:  Curated field seismic clinothem datasets collected from multiple sedimentary basins (Taranaki, Northern Carnarvon, North Sea, Browse, Beagle, Offshore Canterbury, and Colville Basins), representing diverse stratigraphic architectures and geological settings.

3. The 3,000 corresponding predicted field baseline results:  We apply our propose worklfow to obtain the corresponding baseline RGT prediction results for the 3,000 field seismic datasets, providing consistent stratigraphic reference fields for benchmarking and comparison.
DOI: 10.5281/zenodo.18501451
title: The 4,000 labeled synthetic datasets, 3,000 unlabeled field datasets, and corresponding 3,000 predicted RGT baseline for "Geological-prior-driven progressive multi-stage learning paradigm for relative geologic time estimation in global seismic clinothems"

description: The 4,000 labeled synthetic datasets, 3,000 unlabeled field datasets, and corresponding 3,000 predicted RGT baseline results create by the Computational Interpretation Group (CIG) for for automatic relative geologic time (RGT) estimation, Hui Gao, Xinming Wu, Zhixiang Guo, Jiarun Yang, and Yimin Dou are the main contributors to the dataset.

1. The 4,000 labeled synthetic datasets:  Synthetic seismic clinothem datasets generated by geological and geophysical forward modeling (stratigraphic forward modeling, geological structural deformation modeling, and geophysical forward modeling), each paired with dense relative geological time (RGT) labels, faults labels, and corresponding geological priors (seismic normal vectors, and automatically extracted local horizion segments).

2. The 3,000 unlabeled field datasets:  Curated field seismic clinothem datasets collected from multiple sedimentary basins (Taranaki, Northern Carnarvon, North Sea, Browse, Beagle, Offshore Canterbury, and Colville Basins), representing diverse stratigraphic architectures and geological settings.

3. The 3,000 corresponding predicted field baseline results:  We apply our propose worklfow to obtain the corresponding baseline RGT prediction results for the 3,000 field seismic datasets, providing consistent stratigraphic reference fields for benchmarking and comparison.
DOI: 10.60893/figshare.jap.31082773
title: Supporting information

description: Adaptive multimodal metasurface with low loss and high durability based on dual phase-change materials of Sb2S3 and VO2 supplemental document
DOI: 10.60893/figshare.jap.31082773.v1
title: Supporting information

description: Adaptive multimodal metasurface with low loss and high durability based on dual phase-change materials of Sb2S3 and VO2 supplemental document
DOI: 10.60893/figshare.jcp.31093093
title: Supporting Information

description: Supporting Information
DOI: 10.60893/figshare.jcp.31093093.v1
title: Supporting Information

description: Supporting Information
DOI: 10.15468/dl.9mjs7c
title: Occurrence Download

description: A dataset containing 141 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Weldenia candida",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 141 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016475-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18504830
title: Simulation outputs

description: Simulation outputs for the paper "Explicit representation of liquid water retention over bare ice using the SURFEX/ISBA-Crocus model: implications for mass balance at Mera glacier (Nepal)"
DOI: 10.5281/zenodo.18504829
title: Simulation outputs

description: Simulation outputs for the paper "Explicit representation of liquid water retention over bare ice using the SURFEX/ISBA-Crocus model: implications for mass balance at Mera glacier (Nepal)"
DOI: 10.60893/figshare.jcp.31093087
title: Supporting Information: Does Correlated Orbital Theory improve PBE-like functionals?

description: All numerical results obtained during the conception of this work are reported within the supplementary material.
DOI: 10.60893/figshare.jcp.31093087.v1
title: Supporting Information: Does Correlated Orbital Theory improve PBE-like functionals?

description: All numerical results obtained during the conception of this work are reported within the supplementary material.
DOI: 10.5281/zenodo.18502945
title: Tailings Granulometry Database: Laser

description: The dataset records particle-size distribution (PSD) of tailing obtained with Laser method.  It is dynamic dataset: it is under construction and expansion.
DOI: 10.5281/zenodo.18502946
title: Tailings Granulometry Database: Laser

description: The dataset records particle-size distribution (PSD) of tailing obtained with Laser method.  It is dynamic dataset: it is under construction and expansion.
DOI: 10.15468/dl.7dah5u
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vigna macrorhyncha"
 ]
}

 The dataset includes 31 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016476-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18456456
title: Tailings Granulometry Database: Sedigraph

description: The dataset records particle-size distribution (PSD) of tailing from Spanish Tailigs Storage Facilities (PSD_Data) obtained with sedigraph. The submitted file contain README, Metadata, PSD_Data, Summary_Indices, Methods and Data_Dictionary tabs. 

This database is a first version (V.1), currently under construction and undergoing continuous expansion. Data entries, structure, and content may change as the project evolves. New information will be added, and existing records may be updated or refined.

Funding: This research was funded by the Ministry for Ecological Transition and Demographic Challenges (MITECO), Dirección General de Biodiversidad; TD by PRTR Medida C04.I03 belonging to “Asesoramiento en actuaciones de restauración de zonas mineras en el entorno del Mar Menor” Project (J. Butlanska) and “Estudio de las materias primas críticas y estratégicas para la transición ecológica y el suministro de las principales cadenas de valor industrial en España” Project (A.O. Oliva-González), and by grant PID2022-138197OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/E” (R.L. Rodriguez-Pacheco).
DOI: 10.5281/zenodo.18456457
title: Tailings Granulometry Database: Sedigraph

description: The dataset records particle-size distribution (PSD) of tailing from Spanish Tailigs Storage Facilities (PSD_Data) obtained with sedigraph. The submitted file contain README, Metadata, PSD_Data, Summary_Indices, Methods and Data_Dictionary tabs. 

This database is a first version (V.1), currently under construction and undergoing continuous expansion. Data entries, structure, and content may change as the project evolves. New information will be added, and existing records may be updated or refined.

Funding: This research was funded by the Ministry for Ecological Transition and Demographic Challenges (MITECO), Dirección General de Biodiversidad; TD by PRTR Medida C04.I03 belonging to “Asesoramiento en actuaciones de restauración de zonas mineras en el entorno del Mar Menor” Project (J. Butlanska) and “Estudio de las materias primas críticas y estratégicas para la transición ecológica y el suministro de las principales cadenas de valor industrial en España” Project (A.O. Oliva-González), and by grant PID2022-138197OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by “ERDF/E” (R.L. Rodriguez-Pacheco).
DOI: 10.15468/dl.d8m66x
title: Occurrence Download

description: A dataset containing 20304 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhyticeros undulatus"
 ]
}

 The dataset includes 20304 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016477-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b5jwgz
title: Occurrence Download

description: A dataset containing 2679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is one of (Austria, Belgium, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Ireland, Italy, Latvia, Lithuania, Luxembourg, Malta, Netherlands, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden)",
 "OccurrenceStatus is Present",
 "TaxonKey is Muntiacus reevesi"
 ]
}

 The dataset includes 2679 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016478-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18495579
title: Particulate Trace Metal  -  Non-Buoyant Plume from the TAG hydrothermal site  -  HERMINE 1 cruise
DOI: 10.5281/zenodo.18495580
title: Particulate Trace Metal  -  Non-Buoyant Plume from the TAG hydrothermal site  -  HERMINE 1 cruise
DOI: 10.15468/dl.yqc2kq
title: Occurrence Download

description: A dataset containing 308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Anigozanthos bicolor",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 308 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016479-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uats2q
title: Occurrence Download

description: A dataset containing 2800810 records in GBIF matching the query:

 SELECT gbifid, datasetkey, specieskey, kingdom, phylum, class, "order", family, genus, species, scientificname, decimallatitude, decimallongitude, eventdate, institutioncode, "year" AS obs_year, basisofrecord, coordinateuncertaintyinmeters, issue
 FROM occurrence
 WHERE
 decimallatitude IS NOT NULL
 AND decimallongitude IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND coordinateuncertaintyinmeters IS NOT NULL
 AND coordinateuncertaintyinmeters &gt; 0
 AND coordinateuncertaintyinmeters &lt;= 200.0
 AND decimallatitude &gt;= -41.89415215079384
 AND decimallatitude &lt;= -37.42857426825602
 AND decimallongitude &gt;= 138.1538923057312
 AND decimallongitude &lt;= 149.85186880906326
 AND GBIF_Within('POLYGON ((149.851869 -41.894152, 149.851869 -37.428574, 138.153892 -37.428574, 138.153892 -41.894152, 149.851869 -41.894152))', decimallatitude, decimallongitude) = TRUE
 

 The dataset's 2800810 records were derived from 72 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016467-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18506133
title: Data from: Bumble bees are the most efficient pollinators of raspberry and strawberry in urban environments

description: This dataset contains data collected for a study of pollinator efficiency in the region of Paris (France), using strawberry (Fragaria x ananassa) and raspberry (Rubus ideus) as model plants. We made sure that each flower considered in the study was visited once by a pollinator which we assigned to a morphogroup category. We then measured fruit traits (mass, seed set and malformation) following these single visit trials and compared the performance among the different morphogroup categories.

There are 6 datasets, each dedicated to a fruit trait for either strawberry or raspberry. Each row is an individual fruit. They all contain a variable specifying the individual fruit ID (Fruit_ID, factor variable), the experimental site at which the flower was visited (Site, factor variable, one of: IRD, CHEV, PHARMA, FONT, JDP, CEREEP), the habitat type (Habitat, factor variable, one of: Urban, Rural). In the datasets for strawberry, there is a variable specifying the year and season (Seasonality, factor variable, one of: spring.2023, autumn.2023, spring.2024, autumn.2024). In the data for raspberry, there is a variable specifying year (Year, factor variable, one of: 2023, 2024). The 6 datasets are presented below:



Strawberry_mass (68 rows): In addition to the variables described above, this dataset has a variable giving the mass of individual strawberries, measured in g (Mass_g, continuous numerical variable).

Strawberry_malformation (59 rows): In addition to the variables described above, this dataset has a variable describing whether each strawberry was well-formed (value of 0) or whether it showed severe malformations (value of 1) (Malformation, binary variable).

Starwberry_seeds (68 rows): In addition to the variables described above, this dataset has a variable giving the seed set of each strawberry (Seed_set, discrete numerical variable).

Raspberry_mass (97 rows): In addition to the variables described above, this dataset has a variable giving the mass of individual raspberries, measured in g (Mass_g, continuous numerical variable).

Raspberry_malformation (64 rows): In addition to the variables described above, this dataset has a variable describing whether each raspberry was well-formed (value of 0) or whether it showed severe malformations (value of 1) (Malformation, binary variable).

Raspberry_seeds (119 rows): In addition to the variables described above, this dataset has a variable giving the seed set of each raspberry (Seed_set, discrete numerical variable).
DOI: 10.5281/zenodo.18506134
title: Data from: Bumble bees are the most efficient pollinators of raspberry and strawberry in urban environments

description: This dataset contains data collected for a study of pollinator efficiency in the region of Paris (France), using strawberry (Fragaria x ananassa) and raspberry (Rubus ideus) as model plants. We made sure that each flower considered in the study was visited once by a pollinator which we assigned to a morphogroup category. We then measured fruit traits (mass, seed set and malformation) following these single visit trials and compared the performance among the different morphogroup categories.

There are 6 datasets, each dedicated to a fruit trait for either strawberry or raspberry. Each row is an individual fruit. They all contain a variable specifying the individual fruit ID (Fruit_ID, factor variable), the experimental site at which the flower was visited (Site, factor variable, one of: IRD, CHEV, PHARMA, FONT, JDP, CEREEP), the habitat type (Habitat, factor variable, one of: Urban, Rural). In the datasets for strawberry, there is a variable specifying the year and season (Seasonality, factor variable, one of: spring.2023, autumn.2023, spring.2024, autumn.2024). In the data for raspberry, there is a variable specifying year (Year, factor variable, one of: 2023, 2024). The 6 datasets are presented below:



Strawberry_mass (68 rows): In addition to the variables described above, this dataset has a variable giving the mass of individual strawberries, measured in g (Mass_g, continuous numerical variable).

Strawberry_malformation (59 rows): In addition to the variables described above, this dataset has a variable describing whether each strawberry was well-formed (value of 0) or whether it showed severe malformations (value of 1) (Malformation, binary variable).

Starwberry_seeds (68 rows): In addition to the variables described above, this dataset has a variable giving the seed set of each strawberry (Seed_set, discrete numerical variable).

Raspberry_mass (97 rows): In addition to the variables described above, this dataset has a variable giving the mass of individual raspberries, measured in g (Mass_g, continuous numerical variable).

Raspberry_malformation (64 rows): In addition to the variables described above, this dataset has a variable describing whether each raspberry was well-formed (value of 0) or whether it showed severe malformations (value of 1) (Malformation, binary variable).

Raspberry_seeds (119 rows): In addition to the variables described above, this dataset has a variable giving the seed set of each raspberry (Seed_set, discrete numerical variable).