cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.9mka9n
title: Occurrence Download

description: A dataset containing 16321 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinanthus alectorolophus)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 16321 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008877-260129131611470/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.29498204
title: Pretty Privilege vs. Group Prejudice methodology and survey questions and raw data

description: This project investigates whether <b>ingroup bias or attractiveness bias has a stronger influence on decision-making</b>. Using the <b>Minimal Group Paradigm</b>, participants were assigned to artificial groups to measure how group membership affects their choices, while also testing whether the attractiveness of individuals influences these decisions. By comparing these two biases directly, the study aims to understand how group belonging and physical appearance interact to shape the decisions people make, providing insights into how <b>cognitive and social factors influence everyday judgments and behaviours</b>.
DOI: 10.6084/m9.figshare.29498204.v1
title: Pretty Privilege vs. Group Prejudice methodology and survey questions and raw data

description: This project investigates whether <b>ingroup bias or attractiveness bias has a stronger influence on decision-making</b>. Using the <b>Minimal Group Paradigm</b>, participants were assigned to artificial groups to measure how group membership affects their choices, while also testing whether the attractiveness of individuals influences these decisions. By comparing these two biases directly, the study aims to understand how group belonging and physical appearance interact to shape the decisions people make, providing insights into how <b>cognitive and social factors influence everyday judgments and behaviours</b>.
DOI: 10.5281/zenodo.18423315
title: Morin Above and Belowground Forest Carbon Model Equifinality Paper, Baseline Ensemble and Benchmark Scenario
DOI: 10.5281/zenodo.18423316
title: Morin Above and Belowground Forest Carbon Model Equifinality Paper, Baseline Ensemble and Benchmark Scenario
DOI: 10.48366/r1582158
title: Vision Language Action using trajectory as action tokens.

description: Trajectory-based action tokens in VLA research encode actions through motion representations at different granularities. Point Trajectories track the paths of selected keypoints, Visual Trajectories draw explicit motion
DOI: 10.5281/zenodo.18446697
title: Improving coastal water level estimation by merging nadir-only satellite altimetry data into a hydrodynamic model

description: Providing robust real time flood warnings to coastal communities is of paramount importance to coastal communities. Although state-of-the-art hydrodynamic models are capable of robustly predicting Coastal Water Levels (CWL), unresolved drivers affecting level fluctuations are often not represented by the model governing equations. This work evaluates a novel method to improve the performance of the ADvanced CIRCulation (ADCIRC) hydrodynamic model by assimilating observations from four nadir-only satellite altimetry missions against a set of National Oceanic and Atmospheric Administration (NOAA) gauge stations located across the entire U.S. East Coast. Two different types of simulations were performed – Open Loop (OL) and Data Assimilation (DA). Five different simulations were performed where four different satellite altimetry observations were assimilated individually and combined with two different scenarios – with and without considering the data quality flags. Results indicate that, despite their limited spatial coverage, merging nadir-only observations into ADCIRC from the newly launched Surface Water and Ocean Topography (SWOT)’s nadir altimeter can improve the model performance at 76% of the gauge locations, whereas Sentinel-6 improves 73% of the total locations, Jason-3 74%, and SARAL 21%. Furthermore, combining observations from SWOT-nadir, Jason-3, and Sentinel-6 can improve the ADCIRC performance at more than 80% of the gauge locations for 107-day simulation. Nadir-only satellite altimetry observations can be useful for improving the model performance even if flagged as “poor quality” near the coast. When the flagged data are disregarded, SWOT can improve ADCIRC at 78%, Sentinel-6 at 73%, Jason-3 at 53%, and SARAL at 21% of the gauge locations. The ability to improve the model simulations highly depends on the availability of a satellite overpass nearby. Therefore, model performance can be further enhanced if satellite observations are available during a storm surge event, stressing the importance of frequent satellite overpasses.

The "combined.63.nc" file contains ADCIRC simulated WL for all four satellites combined. The "combined_without_saral.63.nc" file contains ADCIRC simulated WL for the previous file except the SARAL. The NetCDF metadata can be found inside the files. These are standard fort.63 output files from ADCIRC in the NetCDF format.
DOI: 10.5281/zenodo.14565966
title: Improving coastal water level estimation by merging nadir-only satellite altimetry data into a hydrodynamic model

description: Providing robust real time flood warnings to coastal communities is of paramount importance to coastal communities. Although state-of-the-art hydrodynamic models are capable of robustly predicting Coastal Water Levels (CWL), unresolved drivers affecting level fluctuations are often not represented by the model governing equations. This work evaluates a novel method to improve the performance of the ADvanced CIRCulation (ADCIRC) hydrodynamic model by assimilating observations from four nadir-only satellite altimetry missions against a set of National Oceanic and Atmospheric Administration (NOAA) gauge stations located across the entire U.S. East Coast. Two different types of simulations were performed – Open Loop (OL) and Data Assimilation (DA). Five different simulations were performed where four different satellite altimetry observations were assimilated individually and combined with two different scenarios – with and without considering the data quality flags. Results indicate that, despite their limited spatial coverage, merging nadir-only observations into ADCIRC from the newly launched Surface Water and Ocean Topography (SWOT)’s nadir altimeter can improve the model performance at 76% of the gauge locations, whereas Sentinel-6 improves 73% of the total locations, Jason-3 74%, and SARAL 21%. Furthermore, combining observations from SWOT-nadir, Jason-3, and Sentinel-6 can improve the ADCIRC performance at more than 80% of the gauge locations for 107-day simulation. Nadir-only satellite altimetry observations can be useful for improving the model performance even if flagged as “poor quality” near the coast. When the flagged data are disregarded, SWOT can improve ADCIRC at 78%, Sentinel-6 at 73%, Jason-3 at 53%, and SARAL at 21% of the gauge locations. The ability to improve the model simulations highly depends on the availability of a satellite overpass nearby. Therefore, model performance can be further enhanced if satellite observations are available during a storm surge event, stressing the importance of frequent satellite overpasses.

The "combined.63.nc" file contains ADCIRC simulated WL for all four satellites combined. The "combined_without_saral.63.nc" file contains ADCIRC simulated WL for the previous file except the SARAL. The NetCDF metadata can be found inside the files. These are standard fort.63 output files from ADCIRC in the NetCDF format.
DOI: 10.6084/m9.figshare.31237124
title: Table S1 from The long-term effects of the tsunamis caused by the Great East Japan Earthquake on an intertidal host-parasite system

description: The summary of the trematode and snail datasets used in this study. The abbreviations of trematode names are Cb: Cercaria batillariae, Ch: Cercaria hosoumininae, Ph: Philophthalmid spp., Ac: Acanthoparyphium sp. I, Re: Renicola sp. I, Cy: Cyathocotylid sp. I. The numbers below the trematode names indicate the infection rates.
DOI: 10.6084/m9.figshare.31237124.v1
title: Table S1 from The long-term effects of the tsunamis caused by the Great East Japan Earthquake on an intertidal host-parasite system

description: The summary of the trematode and snail datasets used in this study. The abbreviations of trematode names are Cb: Cercaria batillariae, Ch: Cercaria hosoumininae, Ph: Philophthalmid spp., Ac: Acanthoparyphium sp. I, Re: Renicola sp. I, Cy: Cyathocotylid sp. I. The numbers below the trematode names indicate the infection rates.
DOI: 10.5281/zenodo.18464011
title: Antifibrotic Drugs Regulate the Expression of Epithelial Sodium Channels in the Lungs

description: This dataset contains the raw numerical data underlying the experiments evaluating the effects of antifibrotic drugs on epithelial sodium channel expression and function.

The Excel file includes unprocessed quantitative values corresponding to the figures presented in the associated manuscript submitted to a journal.

These data support analyses of sodium channel regulation under antifibrotic drug treatment conditions and are provided to ensure transparency and reproducibility. The dataset is shared prior to journal acceptance for peer-review purposes and will remain publicly available following publication.
DOI: 10.5281/zenodo.18464012
title: Antifibrotic Drugs Regulate the Expression of Epithelial Sodium Channels in the Lungs

description: This dataset contains the raw numerical data underlying the experiments evaluating the effects of antifibrotic drugs on epithelial sodium channel expression and function.

The Excel file includes unprocessed quantitative values corresponding to the figures presented in the associated manuscript submitted to a journal.

These data support analyses of sodium channel regulation under antifibrotic drug treatment conditions and are provided to ensure transparency and reproducibility. The dataset is shared prior to journal acceptance for peer-review purposes and will remain publicly available following publication.
DOI: 10.34740/kaggle/dsv/14714882
title: Layline Shareholder activism dataset
DOI: 10.15468/bk332r
title: A new species of Aphis Linnaeus, 1758 (Hemiptera: Aphididae) from the northwestern Türkiye with a key to the species of the subgenus Bursaphis Baker, 1934

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kök, Şahin, Karabacak, Ersin, Yaşar, İpek, Kasap, İsmail, Barjadze, Shalva (2024): A new species of Aphis Linnaeus, 1758 (Hemiptera: Aphididae) from the northwestern Türkiye with a key to the species of the subgenus Bursaphis Baker, 1934. Zootaxa 5551 (3): 569-579, DOI: 10.11646/zootaxa.5551.3.7, URL: https://doi.org/10.11646/zootaxa.5551.3.7AbstractThe new aphid species- Aphis (Bursaphis) kazdagensis sp. nov. living on Papaver pilosum subsp. strictum (Papaveraceae) in Çanakkale Province, Türkiye, is described based on the apterous viviparous females. Diagnosis of the subgenus Bursaphis with respect to other species is given. Aphis popovi Mordvilko, 1932 is transferred from the subgenus Aphis to the subgenus Bursaphis. An updated identification key for apterous viviparous females to all Bursaphis species is provided.
DOI: 10.3535/f9g-rzv-f6g
title: Venoistodus balticus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/kr5-gjf-73w
title: Venoistodus balticus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/l5t-vge-jad
title: Venoistodus balticus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zfa-2eh-65x
title: Venoistodus balticus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/zfc-qlm-9xb
title: Venoistodus balticus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.5281/zenodo.18464234
title: INFLUENCER MARKETING EFFECTIVENESS IN DEVELOPING COUNTRIES: TRUST, ENGAGEMENT, AND PERFORMANCE OUTCOMES
DOI: 10.5281/zenodo.18464235
title: INFLUENCER MARKETING EFFECTIVENESS IN DEVELOPING COUNTRIES: TRUST, ENGAGEMENT, AND PERFORMANCE OUTCOMES
DOI: 10.5281/zenodo.18464236
title: PERFORMANCE EVALUATION OF HYBRID EDGE–CLOUD ARCHITECTURES FOR REAL‑TIME VIDEO ANALYTICS IN SMART CITIES

description: The growing adoption of urban video surveillance and traffic monitoring increases demand for low‑latency, cost‑efficient, and privacy‑preserving analytics. Pure cloud offloading introduces network bottlenecks and unacceptable end‑to‑end delay for time‑critical use cases. We evaluate a hybrid edge–cloud architecture that performs preliminary inference at the edge and delegates aggregation, visualization, and archival tasks to the cloud. Using Raspberry Pi–class devices and a managed cloud back end, we benchmark latency, bandwidth consumption, CPU utilization, and accuracy on representative urban scenes (intersections, pedestrian zones, parking lots). Compared to cloud‑only processing, the proposed hybrid approach reduces median latency by 71% and bandwidth by 94%, while maintaining accuracy within 3–5% of full‑precision models. We discuss design trade‑offs, security and privacy considerations, and deployment guidance for city‑scale systems.
DOI: 10.5281/zenodo.18464237
title: PERFORMANCE EVALUATION OF HYBRID EDGE–CLOUD ARCHITECTURES FOR REAL‑TIME VIDEO ANALYTICS IN SMART CITIES

description: The growing adoption of urban video surveillance and traffic monitoring increases demand for low‑latency, cost‑efficient, and privacy‑preserving analytics. Pure cloud offloading introduces network bottlenecks and unacceptable end‑to‑end delay for time‑critical use cases. We evaluate a hybrid edge–cloud architecture that performs preliminary inference at the edge and delegates aggregation, visualization, and archival tasks to the cloud. Using Raspberry Pi–class devices and a managed cloud back end, we benchmark latency, bandwidth consumption, CPU utilization, and accuracy on representative urban scenes (intersections, pedestrian zones, parking lots). Compared to cloud‑only processing, the proposed hybrid approach reduces median latency by 71% and bandwidth by 94%, while maintaining accuracy within 3–5% of full‑precision models. We discuss design trade‑offs, security and privacy considerations, and deployment guidance for city‑scale systems.
DOI: 10.5281/zenodo.18464251
title: OPTIMIZATION AND UPDATING OF ORGANIZATIONAL MECHANISMS FOR STRATEGIC MANAGEMENT IN THE DIGITAL ECONOMY
DOI: 10.5281/zenodo.18464252
title: OPTIMIZATION AND UPDATING OF ORGANIZATIONAL MECHANISMS FOR STRATEGIC MANAGEMENT IN THE DIGITAL ECONOMY
DOI: 10.3535/jmj-jca-8wf
title: Venoistodus balticus

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.zfwh5g
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Brachinus tianshanicus, Brachinus testaceus, Brachinus pygmaeus, Brachinus pecoudi, Brachinus pateri, Brachinus otini, Brachinus olgae, Brachinus obliquetruncatus, Brachinus mauretanicus, Brachinus lethierryi, Brachinus kryzhanovskii, Brachinus italicus, Brachinus dilapsus, Brachinus boeticus, Brachinus bellicosus, Brachinus barthei, Brachinus barbarus, Brachinus angustatus, Brachinus andalusiacus, Brachinus albarracinus)"
 ]
}

 The dataset includes 194 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008882-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mmp25m
title: Occurrence Download

description: A dataset containing 9318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mergus merganser",
 "Year 2000-2026"
 ]
}

 The dataset includes 9318 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008880-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9cz9c4
title: Occurrence Download

description: A dataset containing 4275 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Daktulosphaira vitifoliae",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 4275 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008889-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dkb6qy
title: Occurrence Download

description: A dataset containing 9926 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhinanthus glacialis, Alectorolophus aristatus, Alectorolophus aristatus, Rhinanthus aristatus, Rhinanthus aristatus, Alectorolophus subalpinus, Alectorolophus subalpinus, Rhinanthus vollmannii)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 9926 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008879-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bqum4p
title: Occurrence Download

description: A dataset containing 2724 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19.5_1",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 2724 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008890-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fcmpk3
title: Occurrence Download

description: A dataset containing 1752 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.19.2_1",
 "OccurrenceStatus is Present",
 "Year 2000-2024"
 ]
}

 The dataset includes 1752 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008891-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mde4ja
title: Occurrence Download

description: A dataset containing 502127 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Caulobacteraceae"
 ]
}

 The dataset includes 502127 records from 802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008841-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ha7y5
title: Occurrence Download

description: A dataset containing 351588 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Alepisaurus brevirostris, Alepisaurus ferox, Alepocephalus agassizii, Alepocephalus australis, Alepocephalus bairdii, Alepocephalus bicolor, Alepocephalus longiceps, Alepocephalus productus, Alepocephalus tenebrosus, Alepocephalus umbriceps, Alestes grandisquamis, Alestes macrophthalmus, Alestes schoutedeni, Alestopetersius bifasciatus, Alestopetersius caudalis, Alestopetersius hilgendorfi, Alfaro cultratus, Algansea lacustris, Alionematichthys riukiuensis, Allenbatrachus grunniens, Allocareproctus jordani, Alloclinus holderi, Allocyttus folletti, Allocyttus niger, Allocyttus verrucosus, Allohistium cinereum, Allomycterus pilatus, Allosmerus elongatus, Alosa aestivalis, Alosa alabamae, Alosa alosa, Alosa chrysochloris, Alosa fallax, Alosa immaculata, Alosa mediocris, Alosa pseudoharengus, Alosa sapidissima, Alphestes afer, Alphestes immaculatus, Alphestes multiguttatus, Alticorpus geoffreyi, Alticus montanoi, Alticus orientalis, Alticus simplicirrus, Altigena elegans, Altrichthys curatus, Aluterus heudelotii, Aluterus monoceros, Aluterus schoepfii, Aluterus scriptus, Amamiichthys matsubarai, Amanses scopas, Amarsipus carlsbergi, Amatitlania nigrofasciata, Amatitlania sajica, Amazonsprattus scintilla, Ambassis agassizii, Ambassis buruensis, Ambassis, Ambassis gymnocephalus, Ambassis interrupta, Ambassis jacksoniensis, Ambassis macleayi, Ambassis macracanthus, Ambassis marianus, Ambassis miops, Ambassis muelleri, Ambassis productus, Ambassis urotaenia, Ambassis vachellii, Ambastaia nigrolineata, Ambastaia sidthimunki, Ambloplites ariommus, Ambloplites cavifrons, Ambloplites constellatus, Ambloplites rupestris, Amblyceps mangois, Amblyceps murraystuarti, Amblychaeturichthys hexanema, Amblychaeturichthys sciistius, Amblycirrhitus bimacula, Amblycirrhitus pinos, Amblycirrhitus unimacula, Amblydoras affinis, Amblydoras gonzalezi, Amblydoras monitor, Amblydoras nauticus, Amblyeleotris diagonalis, Amblyeleotris guttata, Amblyeleotris gymnocephala, Amblyeleotris japonica, Amblyeleotris katherine, Amblyeleotris latifasciata, Amblyeleotris marquesas, Amblyeleotris masuii, Amblyeleotris melanocephala, Amblyeleotris ogasawarensis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 351588 records from 729 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008856-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.omzeqd
title: Occurrence Download

description: A dataset containing 10726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((140.87943 -1.32389,140.88868 -9.67367,154.44191 -12.37651,153.33668 -1.82185,149.17131 -0.94122,140.87943 -1.32389))",
 "TaxonKey is Diptera",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10726 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012153-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wfgyq4
title: Occurrence Download

description: A dataset containing 2008 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Kinosternon baurii (Garman, 1891)"
 ]
}

 The dataset includes 2008 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013727-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.