cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/fd0j-r748
title: "Makerere University On-Campus Mobility and Traffic Flow Dataset"

description: "This dataset contains 100,000 synthesized mobility and traffic-flow records generated to simulate on-campus movement patterns at Makerere University. It captures interactions between different campus zones, including academic buildings, services, entry gates, and junctions. Each record provides a timestamped observation of movement from an origin zone to a destination zone, along with the flow count and the mode of movement ,that is, car, motorcycle, bicycle, or pedestrian and contextual variables include weekday, weather conditions, semester phase, event presence, and gate entry or exit status.The dataset was created to support research in intelligent transportation systems, urban mobility modeling, anomaly detection and campus operations planning. It reflects structured, realistic flow behaviors across time such as peak-hour congestion, service area traffic and exam period spikes making it suitable for machine learning, statistical modeling, visualization and simulation studies. All records are fully synthetic and anonymized, containing no personally identifiable information.With its size, consistency and rich contextual features, this dataset can enable studies related to traffic prediction, temporal mobility analytics, campus route optimization, and smart campus management technologies. The CSV format ensures easy integration with Python or database workflows. "
DOI: 10.5281/zenodo.17713449
title: PATHOPHYSIOLOGY OF PERIODONTAL TISSUE: CLINICAL FEATURES, ETIOLOGY, AND PATHOGENESIS
DOI: 10.25625/eripbt/wqqkgh
title: valid_observations_qai_31_2018.tif
DOI: 10.25625/eripbt/uiefoa
title: valid_observations_qai_31_2019.tif
DOI: 10.25625/eripbt/crhryn
title: valid_observations_qai_31_2021.tif
DOI: 10.25625/eripbt/zvgb5e
title: valid_observations_qai_31_2020.tif
DOI: 10.25625/eripbt/6dxxnj
title: valid_observations_qai_31_2022.tif
DOI: 10.25625/eripbt/d2efpj
title: valid_observations_qai_31_2023.tif
DOI: 10.25625/eripbt
title: Tree Species Maps Germany - Observation Counts

description: These maps depict how many valid satellite observations were used at each location and year. Pixels that did not contain snow, any form of cloud or cloud shadow were counted as valid. Lower counts can be related to worse performance.
DOI: 10.25625/eripbt/gccclj
title: valid_observations_qai_31_2024.tif
DOI: 10.5281/zenodo.17713339
title: CF_PEEK datasets for SAXSTT

description: Experimental data from SAXS tensor tomography measurement. They have been repackaged for use with the software MUMOTT (https://doi.org/10.5281/zenodo.7919490)
DOI: 10.5281/zenodo.17713338
title: CF_PEEK datasets for SAXSTT

description: Experimental data from SAXS tensor tomography measurement. They have been repackaged for use with the software MUMOTT (https://doi.org/10.5281/zenodo.7919490)
DOI: 10.15468/dl.dkh39f
title: Occurrence Download

description: A dataset containing 6100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhincodon",
 "Year 1840-2025"
 ]
}

 The dataset includes 6100 records from 90 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007978-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24396/ordar-214
title: 2016_Elemental analysis of waters from Orne River_Moselle watershed

description: "Concentrations in major and trace elements, in anions and dissolved carbon in Orne River Waters. Samples were collected during the year 2016. The Orne River is a tributary of the Moselle River (French Moselle watershed)."
DOI: 10.25625/fqan7u/ndoa2n
title: treespecies_ger_std_2018.tif
DOI: 10.25625/fqan7u/u8blqm
title: treespecies_ger_std_2019.tif
DOI: 10.25625/fqan7u/bfpqg5
title: treespecies_ger_std_2020.tif
DOI: 10.25625/fqan7u/8gg2pb
title: treespecies_ger_std_2021.tif
DOI: 10.25625/fqan7u/o8kl4u
title: treespecies_ger_std_2022.tif
DOI: 10.25625/fqan7u/qarlth
title: treespecies_ger_std_2023.tif
DOI: 10.25625/fqan7u/a1ub0m
title: treespecies_ger_std_2024.tif
DOI: 10.5281/zenodo.17713090
title: titanium lattice, FEM, LS-DYNA
DOI: 10.15468/dl.zzy9yp
title: Occurrence Download

description: A dataset containing 39700 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-73.34435 7.11301,-73.24247 7.11301,-73.24247 7.21124,-73.34435 7.21124,-73.3845 7.21417,-73.41881 7.15636,-73.34435 7.11301))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 39700 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007980-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25625/fqan7u
title: Tree Species Maps Germany - Standard Deviation

description: These maps represent the standard deviation of the classification of five different models, trained on different cross-validation splits. The units are arbitrary. Higher values mean that the models did not agree well in a certain location, which can be a hint to degraded classification performance, high temporal dynamics (logging, dying trees) or to a species mix.
DOI: 10.5281/zenodo.17713089
title: titanium lattice, FEM, LS-DYNA
DOI: 10.15468/dl.uf4vbu
title: Occurrence Download

description: A dataset containing 484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Quercus alba",
 "GadmGid is one of (USA.6_1, USA.17_1, USA.27_1, USA.28_1, USA.32_1, USA.35_1, USA.37_1, USA.42_1, USA.44_1, USA.51_1)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Human Observation, Machine Observation)"
 ]
}

 The dataset includes 484 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007981-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21949/1404293
title: National Transportation Atlas Database (NTAD): Census TIGERLine Roads 2021-Present [dataset]
title: Census TIGERLine Roads 2021-Present [dataset]

description: The Census TIGERLine Roads 2021-Present dataset is from the United States Census Bureau (USCB), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-10-29. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403488
title: National Transportation Atlas Database (NTAD): DOT Regions - Federal Aviation Administration (FAA) Regions 2023-Present [dataset]
title: DOT Regions - Federal Aviation Administration (FAA) Regions 2023-Present [dataset]

description: The DOT Regions - Federal Aviation Administration (FAA) Regions 2023-Present dataset is from the Federal Aviation Administration’s Office of National Engagement and Regional Administration (FAA's ARA), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’ (BTS's) National Transportation Atlas Database (NTAD). This dataset depicts the geographical boundaries of the nine FAA regions, which fall under the FAA’s Office of National Engagement and Regional Administration (ARA). The regional office located within each region help the FAA build relationships and collaboration on the local level for the variety of stakeholders within each boundary. More information about the FAA Regions can be found at: https://www.faa.gov/about/office_org/headquarters_offices/ara
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-101-19. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.21949/1403486
title: National Transportation Atlas Database (NTAD): Commercial Strategic Seaports 2018-Present [dataset]
title: Commercial Strategic Seaports 2018-Present [dataset]

description: The Commercial Strategic Seaports 2018-Present dataset, formerly known as Strategic Ports, is from the U.S. Maritime Administration (MARAD), and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics’s (BTS's) National Transportation Atlas Database (NTAD). The National Port Readiness Network (NPRN) consists of Strategic Commercial Seaports able to support force deployment during contingencies and other defense emergencies. Nine federal agencies and organizations, USDOT/Maritime Administration (MARAD), U.S. Army Corps of Engineers (USACE), Surface Deployment and Distribution Command (SDDC), U.S. Coast Guard (USCG), Military Sea-lift Command (MSC), U.S. Army Forces Command (USFORSCOM), Transportation Security Administration (TSA), U.S. Northern Command (USNORTHCOM), and U.S. Transportation Command (USTRANSCOM) are responsible for providing guidance to the NPRN program and for supporting the secure movement of military forces through U.S. ports. This dataset includes all 18 commercial ports that currently belong to the NPRN.
description: National Transportation Library (NTL) Curation Note: This dataset has been curated to CoreTrustSeal's curation level "A. Active Preservation". To find out more information on CoreTrustSeal's curation levels, please consult their "Curation & Preservation Levels" CoreTrustSeal Discussion Paper" (https://doi.org/10.5281/zenodo.11476980). NTL staff last accessed this dataset at its repository URL on 2025-11-19. If, in the future, you have trouble accessing this dataset, please email NTLDataCurator@dot.gov describing your problem. NTL staff will do its best to assist you at that time.
DOI: 10.15468/dl.3v9pyd
title: Occurrence Download

description: A dataset containing 7157160 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is Plantae",
 "Geometry POLYGON ((-10 35, 15 35, 15 72, -10 72, -10 35))"
 ]
}

 The dataset includes 7157160 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007969-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57967/hf/7090
title: Tagin-KIFS-Corpus-v1.0
DOI: 10.34740/kaggle/dsv/13866346
title: Mahanagar Yatayat Transport Dataset
DOI: 10.5281/zenodo.17606932
title: Data for the manuscript "From Strong Plates to Weak Boundaries: Strain Localization in the Lithospheric Mantle with Low- to High-Temperature Dislocation Creep" submitted to Solid Earth (2025) - by Van Broeck, Garel, Thoraval, Arcay and Davies

description: This repository contains data to reproduce some results of the manuscript :
"From Strong Plates to Weak Boundaries: Strain Localization in the Lithospheric Mantle with Low- to High-Temperature Dislocation Creep" 
by E. Van Broeck, F. Garel, C. Thoraval, D. Arcay, D. R. Daviessubmitted to the journal Solid Earth in November 2025.

The data includes - a detailed README file the output files of the reference simulations of the standard and the wal cases, as well as the fluidity input files to reproduce all simulations.- a compressed folder INPUT FILES containing the input files of the finite-element code Fluidity, which version 4.1.19 was used to generate the output files,- a compressed folder initial_velocity_conditions_npy_files (input files) containing the initial velocity fields for different boundary conditions,- a compressed folder SIMULATIONS OUTPUT containing subfolders associated to various simulations of the manuscript.
DOI: 10.5281/zenodo.17606931
title: Data for the manuscript "From Strong Plates to Weak Boundaries: Strain Localization in the Lithospheric Mantle with Low- to High-Temperature Dislocation Creep" submitted to Solid Earth (2025) - by Van Broeck, Garel, Thoraval, Arcay and Davies

description: This repository contains data to reproduce some results of the manuscript :
"From Strong Plates to Weak Boundaries: Strain Localization in the Lithospheric Mantle with Low- to High-Temperature Dislocation Creep" 
by E. Van Broeck, F. Garel, C. Thoraval, D. Arcay, D. R. Daviessubmitted to the journal Solid Earth in November 2025.

The data includes - a detailed README file the output files of the reference simulations of the standard and the wal cases, as well as the fluidity input files to reproduce all simulations.- a compressed folder INPUT FILES containing the input files of the finite-element code Fluidity, which version 4.1.19 was used to generate the output files,- a compressed folder initial_velocity_conditions_npy_files (input files) containing the initial velocity fields for different boundary conditions,- a compressed folder SIMULATIONS OUTPUT containing subfolders associated to various simulations of the manuscript.
DOI: 10.5281/zenodo.17608270
title: Example data for svbench-fw
DOI: 10.5281/zenodo.17608271
title: Example data for svbench-fw
DOI: 10.5281/zenodo.14983286
title: A standardized elastomer characterization framework for soft robotics - accompanying dataset

description: This dataset contains the experimental measurements that accompany the open-access journal paper "A Standardized Framework for Elastomer Characterization in Soft Robotics." (https://doi.org/10.1002/aisy.202500699). It provides a comprehensive record of the characterization work performed on ten elastomers commonly used in soft robotics (seven thermosetting elastomers, two thermoplastic elastomers, and one covalent adaptable network). Data are organized to enable reproducible material selection, accurate constitutive modeling, and direct use in numerical simulation.

Contents include: raw experimental data for quasielastic mechanical properties (tensile and compressive stress–strain), viscoelastic response (stress relaxation, measured in compression), thermal degradation (using TGA) and transitions (glass transition and melting (using DSC)), and processing (curing, using rheometry). All information on specimen preparation and analysis procedures can be found in the accompanying publication. Also supplied in this publication are fitted constitutive-model parameters for the characterized materials.

Characterized materials:

Thermosetting elastomers obtained from Smooth-On: Dragon Skin 20, Dragon Skin 30, Ecoflex 00‐20, Ecoflex 00‐30, Ecoflex 00‐50, Mold Max 14NV, and Mold Star 30Thermoplastic elastomers obtained as filament for 3D-printing: Filaflex 60A (white) from Recreus and Cheetah (white) from NinjaTekIn‐house (Vrije Universiteit Brussel) developed bio‐based covalent adaptable network: FsCO‐BMI689

Intended uses: informed material selection for soft robotic design, calibration and validation of constitutive models, comparative benchmarking across laboratories, and incorporation into computational design and optimization pipelines.
DOI: 10.5281/zenodo.14983287
title: A standardized elastomer characterization framework for soft robotics - accompanying dataset

description: This dataset contains the experimental measurements that accompany the open-access journal paper "A Standardized Framework for Elastomer Characterization in Soft Robotics." (https://doi.org/10.1002/aisy.202500699). It provides a comprehensive record of the characterization work performed on ten elastomers commonly used in soft robotics (seven thermosetting elastomers, two thermoplastic elastomers, and one covalent adaptable network). Data are organized to enable reproducible material selection, accurate constitutive modeling, and direct use in numerical simulation.

Contents include: raw experimental data for quasielastic mechanical properties (tensile and compressive stress–strain), viscoelastic response (stress relaxation, measured in compression), thermal degradation (using TGA) and transitions (glass transition and melting (using DSC)), and processing (curing, using rheometry). All information on specimen preparation and analysis procedures can be found in the accompanying publication. Also supplied in this publication are fitted constitutive-model parameters for the characterized materials.

Characterized materials:

Thermosetting elastomers obtained from Smooth-On: Dragon Skin 20, Dragon Skin 30, Ecoflex 00‐20, Ecoflex 00‐30, Ecoflex 00‐50, Mold Max 14NV, and Mold Star 30Thermoplastic elastomers obtained as filament for 3D-printing: Filaflex 60A (white) from Recreus and Cheetah (white) from NinjaTekIn‐house (Vrije Universiteit Brussel) developed bio‐based covalent adaptable network: FsCO‐BMI689

Intended uses: informed material selection for soft robotic design, calibration and validation of constitutive models, comparative benchmarking across laboratories, and incorporation into computational design and optimization pipelines.
DOI: 10.15468/dl.2begg6
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.30_1",
 "Geometry POLYGON((-103.50300 9.30918,-75.36470 9.30918,-75.36470 20.55918,-103.50300 20.55918,-103.50300 9.30918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Procyon lotor"
 ]
}

 The dataset includes 324 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032931-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sj753p
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hynobius nigrescens"
 ]
}

 The dataset includes 55 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032935-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6t2mp
title: Occurrence Download

description: A dataset containing 294 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Santolina semidentata"
 ]
}

 The dataset includes 294 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032933-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17608386
title: Supplementary File for "Conduits of the Kremlin's Informational Influence Abroad? How German-Language Alternative Media Outlets Are Connected to Russia's Ruling Elites"

description: This is the supplemental material for the following article:

Beseler, A., & Toepfl, F. (2024). Conduits of the Kremlin’s Informational Influence Abroad? How German-Language Alternative Media Outlets Are Connected to Russia’s Ruling Elites. The International Journal of Press/Politics, 30(3), 659-678. https://doi.org/10.1177/19401612241230284
DOI: 10.5281/zenodo.17608387
title: Supplementary File for "Conduits of the Kremlin's Informational Influence Abroad? How German-Language Alternative Media Outlets Are Connected to Russia's Ruling Elites"

description: This is the supplemental material for the following article:

Beseler, A., & Toepfl, F. (2024). Conduits of the Kremlin’s Informational Influence Abroad? How German-Language Alternative Media Outlets Are Connected to Russia’s Ruling Elites. The International Journal of Press/Politics, 30(3), 659-678. https://doi.org/10.1177/19401612241230284
DOI: 10.15468/dl.76brq6
title: Occurrence Download

description: A dataset containing 1002700512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Passeriformes"
 ]
}

 The dataset includes 1002700512 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032885-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8c4w4t
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "GadmGid is MEX.30_1",
 "Geometry POLYGON((-113.50029 10.13571,-53.04266 10.13571,-53.04266 34.30733,-113.50029 34.30733,-113.50029 10.13571))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis latrans"
 ]
}

 The dataset includes 145 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032936-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9k9hpd
title: Occurrence Download

description: A dataset containing 13402 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbolario v.1: A Dataset of Medicinal Plants Used in the 21st Century by Ethnolinguistic Groups in the Philippines"
 ]
}

 The dataset includes 13402 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032937-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.