cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30617975
title: Dual Mimicry in Arisaema Pollination

description: Data S1. The COI (mitochondrial cytochrome oxidase I) sequences of 249 fungus gnat species sampled from Arisaema, used for pollinator identification and phylogenetic reconstruction.Data S2. Sequences of four plastid non-coding regions (trnL–trnF, rpl20–rps12, psbB–psbH, and rpoC2–rps2) of Arisaema. The sequences of A. biauriculatum, A. silvestrii, and A. sp. 1 were generated in this study; sequences for the remaining 23 species were obtained from Ohi-Toma et al. (2016).
DOI: 10.6084/m9.figshare.30617975.v1
title: Dual Mimicry in Arisaema Pollination

description: Data S1. The COI (mitochondrial cytochrome oxidase I) sequences of 249 fungus gnat species sampled from Arisaema, used for pollinator identification and phylogenetic reconstruction.Data S2. Sequences of four plastid non-coding regions (trnL–trnF, rpl20–rps12, psbB–psbH, and rpoC2–rps2) of Arisaema. The sequences of A. biauriculatum, A. silvestrii, and A. sp. 1 were generated in this study; sequences for the remaining 23 species were obtained from Ohi-Toma et al. (2016).
DOI: 10.5281/zenodo.15771501
title: SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples
title: ImageNet S-R50-N and Generated Adversarial Examples

description: SCOOTER Evaluation and Dataset Creation Process Data

This data collection contains the following information associated with our six initial SCOOTER studies:



The real image baseline (ImageNet S-R50-N), containing 2966 ImageNet instances that we used to generate adversarial examples (AEs)

Notes on how we processed the validation set images to generate ImageNet S-R50-N (see notes.txt and removed_or_modified.txt)

All AEs generated within our six SCOOTER studies (see the directories semanticadv/, cadv/, ncf/, diffattack/, advpp/, and aca/) + the collected ratings per image (see the Salman2020Do_R50_annotations.csv file per directory)

The ratings generated by GPT-4o (see 4o_ratings/)

The predictions of our victim model for all ImageNet Validation set images that displayed exactly one ImageNet object (>39,000 images, see predictions_salman_clean.csv)


The first four files are all contained in images_v1.0.0.zip, while the last file is stored separately. More information on how to process the information at hand is available at our GitHub repository: https://github.com/DrenFazlija/SCOOTER

SCOOTER Data 1.0.1

The repository now includes an additional file called scooter_db_entries.zip, which contains SQL table data that can be directly used to set up the web app:



modified.csv: All 6,924 generated modified images with their respective metadata (e.g., associated attack name and victim model)

real.csv: All 2,966 ImageNet S-R50-N images with their respective metadata.

atc.csv: All instruction manipulation check and bogus item images.

ishihara.csv: All Ishihara-like images.

cc.csv: All final comprehension check images.


For more information about the web app, check out the dedicated section of our repository: https://github.com/DrenFazlija/SCOOTER/tree/main/ui

SCOOTER Data 1.0.2

The repository now includes the previously missing annotation data for our AdvPP experiment (see advpp_annotations.csv). Please use the file to replace the empty Salman2020Do_R50_annotations.csv file in the advpp/ directory.

Citation

Please cite the original paper when using (parts of) our data:

@misc{fazlija2025scooterhumanevaluationframework,
      title={SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples}, 
      author={Dren Fazlija and Monty-Maximilian Zühlke and Johanna Schrader and Arkadij Orlov and Clara Stein and Iyiola E. Olatunji and Daniel Kudenko},
      year={2025},
      eprint={2507.07776},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.07776}, 
}
DOI: 10.5281/zenodo.17607086
title: SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples
title: ImageNet S-R50-N and Generated Adversarial Examples

description: SCOOTER Evaluation and Dataset Creation Process Data

This data collection contains the following information associated with our six initial SCOOTER studies:



The real image baseline (ImageNet S-R50-N), containing 2966 ImageNet instances that we used to generate adversarial examples (AEs)

Notes on how we processed the validation set images to generate ImageNet S-R50-N (see notes.txt and removed_or_modified.txt)

All AEs generated within our six SCOOTER studies (see the directories semanticadv/, cadv/, ncf/, diffattack/, advpp/, and aca/) + the collected ratings per image (see the Salman2020Do_R50_annotations.csv file per directory)

The ratings generated by GPT-4o (see 4o_ratings/)

The predictions of our victim model for all ImageNet Validation set images that displayed exactly one ImageNet object (>39,000 images, see predictions_salman_clean.csv)


The first four files are all contained in images_v1.0.0.zip, while the last file is stored separately. More information on how to process the information at hand is available at our GitHub repository: https://github.com/DrenFazlija/SCOOTER

SCOOTER Data 1.0.1

The repository now includes an additional file called scooter_db_entries.zip, which contains SQL table data that can be directly used to set up the web app:



modified.csv: All 6,924 generated modified images with their respective metadata (e.g., associated attack name and victim model)

real.csv: All 2,966 ImageNet S-R50-N images with their respective metadata.

atc.csv: All instruction manipulation check and bogus item images.

ishihara.csv: All Ishihara-like images.

cc.csv: All final comprehension check images.


For more information about the web app, check out the dedicated section of our repository: https://github.com/DrenFazlija/SCOOTER/tree/main/ui

SCOOTER Data 1.0.2

The repository now includes the previously missing annotation data for our AdvPP experiment (see advpp_annotations.csv). Please use the file to replace the empty Salman2020Do_R50_annotations.csv file in the advpp/ directory.

Citation

Please cite the original paper when using (parts of) our data:

@misc{fazlija2025scooterhumanevaluationframework,
      title={SCOOTER: A Human Evaluation Framework for Unrestricted Adversarial Examples}, 
      author={Dren Fazlija and Monty-Maximilian Zühlke and Johanna Schrader and Arkadij Orlov and Clara Stein and Iyiola E. Olatunji and Daniel Kudenko},
      year={2025},
      eprint={2507.07776},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2507.07776}, 
}
DOI: 10.15468/dl.7hux8c
title: Occurrence Download

description: A dataset containing 539861 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia"
 ]
}

 The dataset includes 539861 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032750-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17607048
title: Dataset for the figure on testing gravitational interaction with milligram masses
DOI: 10.5281/zenodo.17607049
title: Dataset for the figure on testing gravitational interaction with milligram masses
DOI: 10.23708/f7vovb
title: Drivers of variation in yellow crazy ant (Anoplolepis gracilipes) abundance and impacts on native fauna in an atoll ecosystem

description: Datasets associated with the article "Drivers of variation in yellow crazy ant (Anoplolepis gracilipes) abundance and impacts on native fauna in an atoll ecosystem" by Philip M., Ducatez S and DeVore JL, in Conservation Science and Practice. The datasets include repeated counts of yellow crazy ants to measure count repeatability, count method effect, and temperature and time of the day effects on the number of ants counted, and a dataset with variables characterizing the habitat of plots where yellow crazy ants were counted, together with land crabs and brown noddy nests. Details on the content of each dataset: HoopCardCorrelation : counts of yellow crazy ants using either the hoop or the card methods at the same place to compare the two methods HoopRepeatability: repetition of yellow crazy ant counts at the same place with the hoop method to measure the repeatability of the hoop count method OnetahiTemperatureEffect: repeated counts of yellow crazy ants at the same sites at different moments of the day and temperature to assess the effects of temperature and time of the day on the number of ants counted PlotHabitatYCACrabsBRNO: variables describing the content of the plots monitored to assess yellow crazy ant relative abundance, ants’ habitat preferences and numbers of land crabs and brown noddies within the plots PlotLevelHoopCardCorrelation: counts of yellow crazy ants using either the hoop or the card methods at the same place to compare the two methods at the plot level (rather than the individual count) TreeAntCount: Number of yellow crazy ants counted on tree trunks on different tree species together with biotic and abiotic predictors of ant numbers
DOI: 10.5281/zenodo.17607146
title: Observation of counterion binding in the inner Helmholtz layer at the ionic surfactant-water interface

description: Understanding specific ion adsorption within the inner Helmholtz layer remains central to electrochemistry yet experimentally elusive.Here we directly quantify counterion adsorption and extract the associated thermodynamic parameters within the inner Helmholtz layer using phase-sensitive sum-frequency vibrational spectroscopy (PS-SFVS). Using sodium dodecyl sulfate (SDS) as a model ionicsurfactant, we determine the Na+ and DS− surface densities by simultaneously analyzing interfacial free OH response and the diffuse-layer SF signal, from which the adsorption thermodynamicparameters are derived. We then construct an adsorption phase diagram that maps the evolution of Na+ and DS− species in the compact layer as functions of bulk NaCl and SDS concentrations, revealing a continuous increase in surface ion pairing. The DS−: Na+pairing ratio gradually decreases with increasing NaCl and approaches 2.8 at the supersaturation state prior to surface nucleation. These results establish PS-SFVS as a quantitative probe of ion-headgroup correlations in charged interfaces and reveal the thermodynamic mechanism underlying counterion-mediated interfacial ordering, with broad implications for electrolyte design, biomembrane stability, and soft-matter assembly.
DOI: 10.5281/zenodo.17607147
title: Observation of counterion binding in the inner Helmholtz layer at the ionic surfactant-water interface

description: Understanding specific ion adsorption within the inner Helmholtz layer remains central to electrochemistry yet experimentally elusive.Here we directly quantify counterion adsorption and extract the associated thermodynamic parameters within the inner Helmholtz layer using phase-sensitive sum-frequency vibrational spectroscopy (PS-SFVS). Using sodium dodecyl sulfate (SDS) as a model ionicsurfactant, we determine the Na+ and DS− surface densities by simultaneously analyzing interfacial free OH response and the diffuse-layer SF signal, from which the adsorption thermodynamicparameters are derived. We then construct an adsorption phase diagram that maps the evolution of Na+ and DS− species in the compact layer as functions of bulk NaCl and SDS concentrations, revealing a continuous increase in surface ion pairing. The DS−: Na+pairing ratio gradually decreases with increasing NaCl and approaches 2.8 at the supersaturation state prior to surface nucleation. These results establish PS-SFVS as a quantitative probe of ion-headgroup correlations in charged interfaces and reveal the thermodynamic mechanism underlying counterion-mediated interfacial ordering, with broad implications for electrolyte design, biomembrane stability, and soft-matter assembly.
DOI: 10.6084/m9.figshare.30618116
title: These tables provide detailed metadata, taxonomic profiles, and functional annotations generated as part of the Koala Gut Microbiome Project.

description: Supporting data of the manuscript entitled "<b>Age-dependent patterns of the gut microbiome, antibiotic resistome, and pathogenicity in captive koalas (</b><b><i>Phascolarctos cinereus</i></b><b>)</b>".
DOI: 10.6084/m9.figshare.30618116.v2
title: These tables provide detailed metadata, taxonomic profiles, and functional annotations generated as part of the Koala Gut Microbiome Project.

description: Supporting data of the manuscript entitled "<b>Age-dependent patterns of the gut microbiome, antibiotic resistome, and pathogenicity in captive koalas (</b><b><i>Phascolarctos cinereus</i></b><b>)</b>".
DOI: 10.6084/m9.figshare.30618116.v1
title: These tables provide detailed metadata, taxonomic profiles, and functional annotations generated as part of the Koala Gut Microbiome Project. They complement the analyses presented in the main manuscript and offer additional quantitative data used for community assessment, comparative analyses, and statistical evaluation.

description: Supporting data of the manuscript entitled "<b>Age-dependent patterns of the gut microbiome, antibiotic resistome, and pathogenicity in captive koalas (</b><b><i>Phascolarctos cinereus</i></b><b>)</b>".
DOI: 10.15468/dl.vw3a5v
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((112.09489 -3.18899,112.24195 -3.18899,112.24195 -3.13019,112.09489 -3.13019,112.09489 -3.18899))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pongo pygmaeus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032761-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17607159
title: SEAAL
title: SEAAL Definition

description: Ambreen Fatimah Mooman pioneers SEAAL, which combines Socio-Emotional Learning (SEL), Adversity Quotient (AQ), and Affective Learning (AL), and has been labelled as SEAAL. These three elements together foster emotional intelligence, resilience, and value-based individual development. SEAAL enables learners and teachers to regulate emotions, face challenges constructively, and nurture holistic well-being and lifelong learning.
DOI: 10.5281/zenodo.17607160
title: SEAAL
title: SEAAL Definition

description: Ambreen Fatimah Mooman pioneers SEAAL, which combines Socio-Emotional Learning (SEL), Adversity Quotient (AQ), and Affective Learning (AL), and has been labelled as SEAAL. These three elements together foster emotional intelligence, resilience, and value-based individual development. SEAAL enables learners and teachers to regulate emotions, face challenges constructively, and nurture holistic well-being and lifelong learning.
DOI: 10.6084/m9.figshare.30597530
title: Raw data and unprocessed images

description: Field research and user interviews were used to gather information on user characteristics and needs and the current parking situation within the studied community. This information was analyzed using the Kano model and the Better–Worse satisfaction metric, supplemented by secondary research and interviews, ultimately determining the design direction,based on which a "micro-update" design strategy was employed to implement the design practice and the results were validated using a fuzzy comprehensive evaluation method.
DOI: 10.6084/m9.figshare.30597530.v2
title: Raw data and unprocessed images

description: Field research and user interviews were used to gather information on user characteristics and needs and the current parking situation within the studied community. This information was analyzed using the Kano model and the Better–Worse satisfaction metric, supplemented by secondary research and interviews, ultimately determining the design direction,based on which a "micro-update" design strategy was employed to implement the design practice and the results were validated using a fuzzy comprehensive evaluation method.
DOI: 10.6084/m9.figshare.30597530.v1
title: Raw data and unprocessed images

description: Field research and user interviews were used to gather information on user characteristics and needs and the current parking situation within the studied community. This information was analyzed using the Kano model and the Better–Worse satisfaction metric, supplemented by secondary research and interviews, ultimately determining the design direction,based on which a "micro-update" design strategy was employed to implement the design practice and the results were validated using a fuzzy comprehensive evaluation method.
DOI: 10.15468/dl.4n5wg4
title: Occurrence Download

description: A dataset containing 1634868 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fraxinus"
 ]
}

 The dataset includes 1634868 records from 4308 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032747-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16908134
title: Earthquake catalogs, referenced catalogs, velocity models, station list, and the SMART-2 network dataset for the 2024 Mw 7.4 Hualien earthquake sequence in Eastern Taiwan

description: This repository contains the primary earthquake catalogs, referenced catalogs, velocity models, station list, and the SMART-2 network dataset used in the analysis of the 2024 Mw 7.4 Hualien earthquake sequence in Eastern Taiwan, as presented in Yang et al. (2025). The primary earthquake catalogs and its derived results are located in the "/Catalogs/AutoQuake" directory and cover the time from 1 April 2024 to 28 April 2024. This includes the relocated catalog ("relocated_catalog.csv"), polarity-based focal mechanism catalog ("focal_catalog.csv"), phase picks generated by PhaseNet ("phasenet_picks.csv"), associated phase picks generated by GaMMA, ("associated_phase_picks.csv"), phase picks with polarity ("polarity_picks.csv"), and the initial catalog generated by GaMMA ("gamma_events.csv").

Referenced catalogs are also included: the initial Central Weather Administration (CWA) catalog downloaded on 29 April 2024 ("/Catalogs/CWA/initial_cwa_catalog_0429.csv"), a refined CWA catalog covering the same study period ("/Catalogs/CWA/refined_cwa_catalog.csv"), relocated events around the Longitudinal Valley region from Huang and Wang (2022) ("/Catalogs/Huang_and_Wang_2022/relocated_LV_events.csv"), and the catalog used for focal mechanism comparison ("/Catalogs/Focal_comparison/focal_comparison").

The 1D and 3D velocity model (Huang et al., 2014) used in this study are provided in "Hualien_1D.vel" and "tomops_H14". The station list is provided in "stations.csv". Poles and Zeros files and Seismic waveform data from the SMART-2 network (Chiu et al., 1994) collected between 1 April 2024 and 28 April 2024 are included in the "/SM_data" directory.
DOI: 10.60859/rpr9-3m15
title: NG00127
DOI: 10.60859/wg6p-2e93
title: NG00130
DOI: 10.15468/dl.gsfp8a
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016077-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15146/r3539j
title: Evaluating the effects of land-use change and future climate change on vulnerability of coastal landscapes to saltwater intrusion

description: The exposure of freshwater-dependent coastal ecosystems to saltwater is a
 present-day impact of climate and land-use changes in many coastal
 regions, with the potential to harm freshwater and terrestrial biota,
 alter biogeochemical cycles and reduce agricultural yields. Land-use
 activities associated with artificial drainage infrastructure (canals,
 ditches, and drains) could exacerbate saltwater
 exposure. However, studies assessing the effects of artificial
 drainage on the vulnerability of coastal landscapes to saltwater exposure
 are lacking. We examined the extent to which artificial drainage
 infrastructure has altered the potential for saltwater intrusion in the
 coastal plain of eastern North Carolina. Regional spatial analyses
 demonstrate that artificial drainages not only lower the overall elevation
 in coastal landscapes, but they also alter the routing and concentration
 of hydrological flows.  Together, these factors have the
 potential to increase the total proportion of the landscape vulnerable to
 saltwater intrusion, not only in areas adjacent to drainage infrastructure
 but also in places where no artificial drainages exist due to large scale
 effects of flow rerouting. Among all land cover types in eastern North
 Carolina, wetlands are most vulnerable to saltwater exposure. Droughts and
 coastal storms associated with climate change potentially exacerbate
 vulnerability to saltwater facilitated by artificial drainage.
DOI: 10.25338/b8rk52
title: Defining hydrogel properties to instruct lineage- and cell-specific mesenchymal differentiation

description: The maintenance and direction of stem cell lineage after implantation
 remains challenging for clinical translation. Aggregation and
 encapsulation into instructive biomaterials after preconditioning can
 bolster retention of differentiated phenotypes. Since these procedures do
 not depend on cell type or lineage, we hypothesized we could use a common,
 tunable platform to engineer formulations that retain and enhance multiple
 lineages from different cell populations. To test this, we varied alginate
 stiffness and adhesive ligand content, then encapsulated spheroids of
 varying cellularity. We used Design-of-Experiments to determine the effect
 of these parameters and their interactions on phenotype retention. The
 combination of parameters leading to maximal differentiation varied with
 lineage and cell type, inducing a 2-4-fold increase over non-optimized
 levels. Phenotype was also retained for 4 weeks in a murine subcutaneous
 model. This widely applicable approach can facilitate translation of
 cell-based therapies by instructing phenotype in situ without prolonged
 induction or costly growth factors.
DOI: 10.6086/d1x675
title: Hawaiian forest bird foraging height

description: Data relevant to study on the foraging height of Hawaiian forest birds
 collected in kipuka along the Saddle Road, Upper Waiakea Forest
 Reserve.
description: All data files have a metadata tab describing the
 variables. Canopy.xlsx describes the canopy height for
 forest fragments with other forest fragment characteristics (e.g. fragment
 size, elevation, rat removal treatment) Arthropods.xlsx
 describes the proportion of arthrood biomass throughout the canopy using
 sticky card traps at 3 heights: low (2m), mid (halfway between low and
 high traps), and high (1m from top of tree). Measurements are for mutliple
 trees within each forest fragment.
 Canopy.utilization.xlsx describes the degree to which birds were
 observed using the canopy, for example, did they use a lot of the canopy
 (move throughout the canopy) or specialize in upper canopy?
 Foraging.behavior.xlsx describes a subset of the data for which
 we had extensive foraging behavior observations.
 Foraging.height.xlsx descirbes the foraging height of Hawaiian
 forest birds collected across the entire observation period.