cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15270518
title: RecGaze Dataset - Public Version

description: This is the public RecGaze dataset from the paper: RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces

Link to open-acess paper: [SIGIR 2025], [Arxiv]

 

Arxiv bibtex:

@article{de2025recgaze,
  title={RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces},
  author={de Leon-Martinez, Santiago and Kang, Jingwei and Moro, Robert and de Rijke, Maarten and Kveton, Branislav and Oosterhuis, Harrie and Bielikova, Maria},
  journal={arXiv preprint arXiv:2504.20792},
  year={2025}
}

ACM Reference:

Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke,Branislav Kveton, Harrie Oosterhuis, and Maria Bielikova. 2025. RecGaze:The First Eye Tracking and User Interaction Dataset for Carousel Interfaces.In Proceedings of the 48th International ACM SIGIR Conference on Researchand Development in Information Retrieval (SIGIR ’25), July 13–18, 2025, Padua,Italy. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3726302.3730301 

 

Dataset Description

The RecGaze dataset is the first comprehensive feedback dataset on carousels that includes eye tracking results, clicks, cursor movements, and selection explanations. The dataset comprises of interactions from 3  movie selection tasks with 40 different carousel interfaces per user. In total, 87 users and 3,477 interactions are logged.

Public Dataset download contains:



Summary Feedback Dataframe (summary_feedback.csv) - All the feedback (fixations, clicks, cursor movements) data gathered during the movie selection screens

Click Feedback Dataframe (click_feedback.csv) -  Summary dataframe, primarily for click modeling and other Recommender usages, that only contains the last movie selection click per user, screen pair.

Item Features Dataframe (item_features.csv) - Contains all the information for the movies used to create the carousel screens along with extra data that was not used for the study. 

User Features Dataframe (user_features.csv) - Contains all the information gathered from the users during the pre-survey, post-survey, and post-selection screens (selection explanations). 


A more detailed description of all the files and their contents (along with supplementary material) can be found in the GitHub.

 

Non-public Version

The non-public version additionally contains the following (for a more in-depth explanation and examples see paper, Table 2 ):



User Features



Age 

Gender

Answer to most helpful carousel topic/explanation question



Summary Feedback Dataframe



x,y pixel postions for fixation, cursor, clicks

Raw Gaze data 



Other



Screen recordings of every movie selection task for all users and screens




 

To receive access to the non-public version send an email: santiago.deleon@kinit.sk
DOI: 10.5281/zenodo.15039651
title: Mono- and Co-Infections of Primary Porcine Respiratory Cells with Bordetella Bronchiseptica and Streptococcus Suis Are Not Affected by the Dermonecrotic Toxin

description: Figures, raw numerical data, original gel images, statistical calculations, and supplementary material pertaining to the manuscript "Mono- and Co-Infections of Primary Porcine Respiratory Cells with Bordetella Bronchiseptica and Streptococcus Suis Are Not Affected by the Dermonecrotic Toxin" submitted to the Journal Virulence in February 2025.
DOI: 10.5281/zenodo.15270517
title: RecGaze Dataset - Public Version

description: This is the public RecGaze dataset from the paper: RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces

Link to open-acess paper: [SIGIR 2025], [Arxiv]

 

Arxiv bibtex:

@article{de2025recgaze,
  title={RecGaze: The First Eye Tracking and User Interaction Dataset for Carousel Interfaces},
  author={de Leon-Martinez, Santiago and Kang, Jingwei and Moro, Robert and de Rijke, Maarten and Kveton, Branislav and Oosterhuis, Harrie and Bielikova, Maria},
  journal={arXiv preprint arXiv:2504.20792},
  year={2025}
}

ACM Reference:

Santiago de Leon-Martinez, Jingwei Kang, Robert Moro, Maarten de Rijke,Branislav Kveton, Harrie Oosterhuis, and Maria Bielikova. 2025. RecGaze:The First Eye Tracking and User Interaction Dataset for Carousel Interfaces.In Proceedings of the 48th International ACM SIGIR Conference on Researchand Development in Information Retrieval (SIGIR ’25), July 13–18, 2025, Padua,Italy. ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3726302.3730301 

 

Dataset Description

The RecGaze dataset is the first comprehensive feedback dataset on carousels that includes eye tracking results, clicks, cursor movements, and selection explanations. The dataset comprises of interactions from 3  movie selection tasks with 40 different carousel interfaces per user. In total, 87 users and 3,477 interactions are logged.

Public Dataset download contains:



Summary Feedback Dataframe (summary_feedback.csv) - All the feedback (fixations, clicks, cursor movements) data gathered during the movie selection screens

Click Feedback Dataframe (click_feedback.csv) -  Summary dataframe, primarily for click modeling and other Recommender usages, that only contains the last movie selection click per user, screen pair.

Item Features Dataframe (item_features.csv) - Contains all the information for the movies used to create the carousel screens along with extra data that was not used for the study. 

User Features Dataframe (user_features.csv) - Contains all the information gathered from the users during the pre-survey, post-survey, and post-selection screens (selection explanations). 


A more detailed description of all the files and their contents (along with supplementary material) can be found in the GitHub.

 

Non-public Version

The non-public version additionally contains the following (for a more in-depth explanation and examples see paper, Table 2 ):



User Features



Age 

Gender

Answer to most helpful carousel topic/explanation question



Summary Feedback Dataframe



x,y pixel postions for fixation, cursor, clicks

Raw Gaze data 



Other



Screen recordings of every movie selection task for all users and screens




 

To receive access to the non-public version send an email: santiago.deleon@kinit.sk
DOI: 10.5281/zenodo.15342028
title: Mono- and Co-Infections of Primary Porcine Respiratory Cells with Bordetella Bronchiseptica and Streptococcus Suis Are Not Affected by the Dermonecrotic Toxin

description: Figures, raw numerical data, original gel images, statistical calculations, and supplementary material pertaining to the manuscript "Mono- and Co-Infections of Primary Porcine Respiratory Cells with Bordetella Bronchiseptica and Streptococcus Suis Are Not Affected by the Dermonecrotic Toxin" submitted to the Journal Virulence in February 2025.
DOI: 10.5281/zenodo.15342224
title: hypsolebias_faouri_spades_01.fasta.gz
DOI: 10.5281/zenodo.15342225
title: hypsolebias_faouri_spades_01.fasta.gz
DOI: 10.5281/zenodo.15342192
title: 1600 years of modelled present-day and future energy production and demand under a present-day and present-day+2degC climate

description: This dataset contains daily renewable energy production and demand data used in the study "Impacts of future changes in climate variability on Europe’s renewable electricity systems" (van der Most et al., 2025). It includes modeled production from offshore wind, onshore wind, solar photovoltaics, run-of-river hydropower, and hydropower reservoir inflow, along with temperature-dependent electricity demand. The data was generated using 1600 years of climate model simulations and a daily electricity system modeling framework.

The dataset covers multiple European regions and includes simulations for both present-day (PD) and future (PD+2degC) climate conditions, using time-slice simulations. It is based on the KNMI-LENTIS Large Ensemble, which provides 160 ensemble members per climate period (16 parent years × 10 seeds), derived from the EC-Earth3 global climate model.

 
description: Energy Production:





Wind (onshore & offshore): Modeled from extrapolated near-surface wind speeds using hub-height scaling and a power curve.




Solar PV: Modeled from irradiance and temperature, including temperature-adjusted efficiency losses.




Hydropower (RoR & reservoir): Derived from routed runoff data.




Reservoir dispatch: Simulated using national-level linear optimization to minimize residual load.



Energy Demand:





Temperature-dependent demand modeled using logistic regression on population-weighted temperature and ENTSO-E data.




Accounts for weekday/weekend differences; does not include holidays or socio-economic trends.
DOI: 10.5281/zenodo.15342193
title: 1600 years of modelled present-day and future energy production and demand under a present-day and present-day+2degC climate

description: This dataset contains daily renewable energy production and demand data used in the study "Impacts of future changes in climate variability on Europe’s renewable electricity systems" (van der Most et al., 2025). It includes modeled production from offshore wind, onshore wind, solar photovoltaics, run-of-river hydropower, and hydropower reservoir inflow, along with temperature-dependent electricity demand. The data was generated using 1600 years of climate model simulations and a daily electricity system modeling framework.

The dataset covers multiple European regions and includes simulations for both present-day (PD) and future (PD+2degC) climate conditions, using time-slice simulations. It is based on the KNMI-LENTIS Large Ensemble, which provides 160 ensemble members per climate period (16 parent years × 10 seeds), derived from the EC-Earth3 global climate model.

 
description: Energy Production:





Wind (onshore & offshore): Modeled from extrapolated near-surface wind speeds using hub-height scaling and a power curve.




Solar PV: Modeled from irradiance and temperature, including temperature-adjusted efficiency losses.




Hydropower (RoR & reservoir): Derived from routed runoff data.




Reservoir dispatch: Simulated using national-level linear optimization to minimize residual load.



Energy Demand:





Temperature-dependent demand modeled using logistic regression on population-weighted temperature and ENTSO-E data.




Accounts for weekday/weekend differences; does not include holidays or socio-economic trends.
DOI: 10.5281/zenodo.15341262
title: Spatial cohort of "Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma" by Yates et al.

description: This repository contains the data associated with spatial profiling of patients described in the paper. Refer to the README for more information.ABSTRACT"Esophageal adenocarcinoma (EAC) is a highly lethal cancer of the upper gastrointestinal tract with rising incidence in western populations. To decipher EAC disease progression and therapeutic response, we performed multiomic analyses of a cohort of primary and metastatic EAC tumors, incorporating single-nuclei transcriptomic and chromatin accessibility sequencing, along with spatial profiling. We recovered tumor microenvironmental features previously described to associate with therapy response. We subsequently identified five malignant cell programs, including undifferentiated, intermediate, differentiated, epithelial-to-mesenchymal transition, and cycling programs, which were associated with differential epigenetic plasticity and clinical outcomes, and for which we inferred candidate transcription factor regulons. Furthermore, we revealed diverse spatial localizations of malignant cells expressing their associated transcriptional programs and predicted their significant interactions with microenvironmental cell types. We validated our findings in three external single-cell RNA-seq and three bulk RNA-seq studies. Altogether, our findings advance the understanding of EAC heterogeneity, disease progression, and therapeutic response."
DOI: 10.5281/zenodo.15341263
title: Spatial cohort of "Cell states and neighborhoods in distinct clinical stages of primary and metastatic esophageal adenocarcinoma" by Yates et al.

description: This repository contains the data associated with spatial profiling of patients described in the paper. Refer to the README for more information.ABSTRACT"Esophageal adenocarcinoma (EAC) is a highly lethal cancer of the upper gastrointestinal tract with rising incidence in western populations. To decipher EAC disease progression and therapeutic response, we performed multiomic analyses of a cohort of primary and metastatic EAC tumors, incorporating single-nuclei transcriptomic and chromatin accessibility sequencing, along with spatial profiling. We recovered tumor microenvironmental features previously described to associate with therapy response. We subsequently identified five malignant cell programs, including undifferentiated, intermediate, differentiated, epithelial-to-mesenchymal transition, and cycling programs, which were associated with differential epigenetic plasticity and clinical outcomes, and for which we inferred candidate transcription factor regulons. Furthermore, we revealed diverse spatial localizations of malignant cells expressing their associated transcriptional programs and predicted their significant interactions with microenvironmental cell types. We validated our findings in three external single-cell RNA-seq and three bulk RNA-seq studies. Altogether, our findings advance the understanding of EAC heterogeneity, disease progression, and therapeutic response."
DOI: 10.15468/dd.9w7jbs
title: Distribution records of Protomyctophum choriodon

description: These records of Protomyctophum choriodon were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.x2mdax
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Mondia whitei (Hook.fil.) Skeels"
 ]
}

 The dataset includes 973 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015897-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.s5deek
title: Distribution records of Protomyctophum parallelum

description: These records of Protomyctophum parallelum were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.2q7uqe
title: Distribution records of Protomyctophum normani

description: These records of Protomyctophum normani were downloaded from GBIF on 2019-09-11.
DOI: 10.25921/y9b7-fb43
title: Temperature, salinity, and dissolved oxygen taken by CTD from Peruvian research vessels Jose Olaya Balandra, Humboldt, and Luis Flores Portugal by Instituto del Mar del Perú, IMARPE, in the South Pacific Ocean from 2006-02-25 to 2016-11-12 (NCEI Accession 0229831)

description: This dataset contains historical temperature, salinity, and dissolved oxygen data taken by CTD off Peru by Instituto del Mar del Perú (IMARPE). Data are in CSV format. Summary of measurement coordinates is in text format.
DOI: 10.15468/dl.v2vpkx
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((71 33,98 33,98 51,71 51,71 33))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Corylus L."
 ]
}

 The dataset includes 31 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015899-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ysrzan
title: Occurrence Download

description: A dataset listing the 67 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.63961 7.44726,-8.17516 7.44726,-8.17516 7.65891,-8.63961 7.65891,-8.63961 7.44726))",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "TaxonKey is Apocynaceae"
 ]
}

 The dataset's 67 records were derived from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015892-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ezf9k
title: Occurrence Download

description: A dataset containing 2592699 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pl@ntNet observations"
 ]
}

 The dataset includes 2592699 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015890-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.2qyqv5
title: Distribution records of Protomyctophum gemmatum

description: These records of Protomyctophum gemmatum were downloaded from GBIF on 2019-09-11.
DOI: 10.25921/zxte-n762
title: Fish abundance collected by surface trawl, and tagged fish from Hokko-maru in the Central Bering Sea from 2020-07-20 to 2020-07-31 (NCEI Accession 0244439)

description: This dataset contains number of fish species collected by surface trawl, and tagged salmon during 2020 summer in the Bering Sea. The samplings were conducted at 17 monitoring stations and two additional stations. Date and location of each station can be specified from the dataset. This dataset is U.S. State Department MSR RATS U2020-001 as part of the World Data Service for Oceanography. Data are in XLSX format, cruise report is in PDF.
DOI: 10.25921/tdda-1f28
title: Seasonal full-depth dissolved inorganic carbon (DIC), total alkalinity (TA), pH, and aragonite saturation state (Ωarag) at nine stations across the Florida Straits at 27°N from 2002 to 2018 (NCEI Accession 0244859)

description: This dataset contains full-depth carbonate chemistry profile data at the seasonal frequency of ship-based hydrographic surveys for the Florida Straits at 27°N from 2002 to 2018. We firstly developed an algorithm to estimate subsurface (~50 m) dissolved inorganic carbon (DIC) using measured data from carbonate chemistry-focused research cruise surveys across the Florida Straits at 27°N. This algorithm was then applied to the long-term non-carbonate chemistry time-series dataset to generate a DIC record. Total alkalinity of the full water column was estimated from a linear relationship with salinity based on measured data from carbonate chemistry focused research cruise surveys across the Florida Straits at 27°N. Furthermore, subsurface pH and aragonite saturation state (Ωarag) were calculated from DIC and TA using CO2SYS (Van Heuven et al., 2009) with the first and second carbonic acid dissociation constants K1 and K2 from Lueker et al. (2000), the acidity constant of the ion HSO4- from Dickson (1990), and borate-to-salinity ratio from Lee et al. (2010). For surface mixed layer (&lt;50 m), DIC, pH, and (Ωarag) were calculated from TA and fCO2, where the latter was calculated using algorithms provided by Wanninkhof et al. (2020) based on the observational data from the Atlantic Oceanographic and Meteorological Laboratory (AOML) Ship of Opportunity-CO2 (SOOP-CO2) program from Royal Caribbean international cruise ships.
DOI: 10.15468/dl.b7fag3
title: Occurrence Download

description: A dataset containing 3834 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada, Mexico, Costa Rica)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is one of (January, February, March, April, May, June, July, August, September, October, November, December)",
 "OccurrenceStatus is Present",
 "TaxonKey is Empoasca fabae (Harris, 1841)",
 "Year 1970-2025"
 ]
}

 The dataset includes 3834 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015903-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.wkvtkv
title: Distribution records of Electrona antarctica

description: These records of Electrona antarctica were downloaded from GBIF on 2019-09-11.
DOI: 10.25921/afrq-h385
title: Seabird visual surveys using line-transect methods collected from NOAA vessels in the northern Gulf of Mexico for the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS) project from 2017-07-21 to 2019-09-25 (NCEI Accession 0247206)

description: As part of the Gulf of Mexico Marine Assessment Program for Protected Species (GoMMAPPS), the U.S. Fish and Wildlife Service conducted seabird vessel surveys aboard NOAA vessels of opportunity in the pelagic waters of the Gulf of Mexico. Surveys were initiated in April 2017, with the last vessel survey being completed in September 2019. This dataset includes seabird visual observation data, with corresponding locations (latitude, longitude) and behavior and/or demographic data (e.g., age, sex). In total, ~41,700km and ~2,300hr of observation effort during 293 days-at-sea were conducted on 20 pelagic cruises in the northern Gulf of Mexico. Using standard, transect-based methodology 9,347 marine avifauna detections representing 44,029 individuals of 44 seabird species were amassed. Of those detections, 37,817 birds were identified to species (85.9%). Seabird observations accounted for 87.4% of all avifauna detections, 86.3% of all individual birds, and 39.3% of all birds identified to species. Detections classified as non-marine avifauna accounted for 12.6% of all avifauna detections, 13.7% of all individual birds, and 63.6% of all avifauna species that were identified. There were 1,345 detections of 6,980 birds classified as non-marine avifauna representing 77 bird species. This dataset also includes observations of marine mammals, sea turtles, and other marine species observed during surveys.
DOI: 10.15468/dd.fzp2am
title: Distribution records of Gymnoscopelus opisthopterus

description: These records of Gymnoscopelus opisthopterus were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.cpxyyp
title: Occurrence Download

description: A dataset containing 1730 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "OccurrenceStatus is Present",
 "TaxonKey is Oncoba spinosa Forssk."
 ]
}

 The dataset includes 1730 records from 106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015904-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.v4j6pa
title: Distribution records of Gymnoscopelus braueri

description: These records of Gymnoscopelus braueri were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.7knc7x
title: Distribution records of Gymnoscopelus nicholsi

description: These records of Gymnoscopelus nicholsi were downloaded from GBIF on 2019-09-11.